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\n  \n 2022\n \n \n (6)\n \n \n
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\n \n\n \n \n \n \n \n \n Parametric Urban Data Structuring and Spatial Query - Advanced data mapping and selection methods for parametric modelling environments.\n \n \n \n \n\n\n \n Abdulmawla, A.; Schneider, S.; Koenig, R.; Bielik, M.; and Fuchkina, E.\n\n\n \n\n\n\n In eCAADe 2022 conference, September 2022. \n \n\n\n\n
\n\n\n\n \n \n \"ParametricPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{abdulmawla_parametric_2022,\n\ttitle = {Parametric {Urban} {Data} {Structuring} and {Spatial} {Query} - {Advanced} data mapping and selection methods for parametric modelling environments},\n\tcopyright = {All rights reserved},\n\turl = {https://www.researchgate.net/publication/363573571_Parametric_Urban_Data_Structuring_and_Spatial_Query_-_Advanced_data_mapping_and_selection_methods_for_parametric_modelling_environments},\n\tbooktitle = {{eCAADe} 2022 conference},\n\tauthor = {Abdulmawla, Abdulmalik and Schneider, Sven and Koenig, Reinhard and Bielik, Martin and Fuchkina, Ekaterina},\n\tmonth = sep,\n\tyear = {2022},\n}\n\n
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\n \n\n \n \n \n \n \n \n Can digital technologies for city-making engage its users to build parklets in Vienna? - Citizen participation in the context of the platform city.\n \n \n \n \n\n\n \n Bermúdez, J. C. C.; and Koenig, R.\n\n\n \n\n\n\n Journal of Urbanism: International Research on Placemaking and Urban Sustainability,1–27. 2022.\n Publisher: Routledge\n\n\n\n
\n\n\n\n \n \n \"CanPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{bermudez_can_2022,\n\ttitle = {Can digital technologies for city-making engage its users to build parklets in {Vienna}? - {Citizen} participation in the context of the platform city},\n\tcopyright = {All rights reserved},\n\tissn = {1754-9175},\n\turl = {https://www.tandfonline.com/doi/abs/10.1080/17549175.2022.2071968},\n\tdoi = {10.1080/17549175.2022.2071968},\n\tabstract = {This article presents the results of research conducted to observe the impact of digital tools on citizen engagement. Parklets (temporary constructions in public space) in Vienna were selected for ...},\n\tjournal = {Journal of Urbanism: International Research on Placemaking and Urban Sustainability},\n\tauthor = {Bermúdez, J. C. Carvajal and Koenig, Reinhard},\n\tyear = {2022},\n\tnote = {Publisher: Routledge},\n\tkeywords = {Public space, citizen participation, digital platforms, parklets},\n\tpages = {1--27},\n}\n\n
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\n This article presents the results of research conducted to observe the impact of digital tools on citizen engagement. Parklets (temporary constructions in public space) in Vienna were selected for ...\n
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\n \n\n \n \n \n \n \n Environmental Performance Assessment - The Optimisation of High-Rises in Vienna.\n \n \n \n\n\n \n Duering, S.; Fink, T.; Chronis, A.; and Koenig, R.\n\n\n \n\n\n\n In Proceedings of the 27th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 1], volume 1, pages 545–554, July 2022. CAADRIA\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{duering_environmental_2022,\n\ttitle = {Environmental {Performance} {Assessment} - {The} {Optimisation} of {High}-{Rises} in {Vienna}},\n\tvolume = {1},\n\tcopyright = {All rights reserved},\n\tdoi = {10.52842/CONF.CAADRIA.2022.1.545},\n\tabstract = {Our cities are facing different kinds of challenges-in parallel to the urban transformation and densification, climate targets and objectives of decision-makers are on the daily agenda of planning. Therefore, the planning of new neighbourhoods and buildings in high-density areas is complex in many ways. It requires intelligent processes that automate specific aspects of planning and thus enable impact-oriented planning in the early phases. The impacts on environment, economy and society have to be considered for a sustainable planning result in order to make responsible decisions. The objective of this paper is to explore pathways towards a framework for the environmental performance assessment and the optimisation of high-rise buildings with a particular focus on processing large amounts of data in order to derive actionable insights. A development area in the urban centre of Vienna serves as case study to exemplify the potential of automated model generation and applying ML algorithm to accelerate simulation time and extend the design space of possible solutions. As a result, the generated designs are screened on the basis of their performance using a Design Space Exploration approach. The potential for optimisation is evaluated in terms of their environmental impact on the immediate environment.},\n\tbooktitle = {Proceedings of the 27th {Conference} on {Computer} {Aided} {Architectural} {Design} {Research} in {Asia} ({CAADRIA}) [{Volume} 1]},\n\tpublisher = {CAADRIA},\n\tauthor = {Duering, Serjoscha and Fink, Theresa and Chronis, Angelos and Koenig, Reinhard},\n\tmonth = jul,\n\tyear = {2022},\n\tpages = {545--554},\n}\n\n
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\n Our cities are facing different kinds of challenges-in parallel to the urban transformation and densification, climate targets and objectives of decision-makers are on the daily agenda of planning. Therefore, the planning of new neighbourhoods and buildings in high-density areas is complex in many ways. It requires intelligent processes that automate specific aspects of planning and thus enable impact-oriented planning in the early phases. The impacts on environment, economy and society have to be considered for a sustainable planning result in order to make responsible decisions. The objective of this paper is to explore pathways towards a framework for the environmental performance assessment and the optimisation of high-rise buildings with a particular focus on processing large amounts of data in order to derive actionable insights. A development area in the urban centre of Vienna serves as case study to exemplify the potential of automated model generation and applying ML algorithm to accelerate simulation time and extend the design space of possible solutions. As a result, the generated designs are screened on the basis of their performance using a Design Space Exploration approach. The potential for optimisation is evaluated in terms of their environmental impact on the immediate environment.\n
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\n \n\n \n \n \n \n \n An Assessment of Tool Interoperability and its Effect on Technological Uptake for Urban Microclimate Prediction with Deep Learning Models.\n \n \n \n\n\n \n Khean, N.; Düring, S.; Chronis, A.; Koenig, R.; and Haeusler, M. H.\n\n\n \n\n\n\n In Proceedings of the 27th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 1], volume 1, pages 273–282, July 2022. CAADRIA\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{khean_assessment_2022,\n\ttitle = {An {Assessment} of {Tool} {Interoperability} and its {Effect} on {Technological} {Uptake} for {Urban} {Microclimate} {Prediction} with {Deep} {Learning} {Models}},\n\tvolume = {1},\n\tcopyright = {All rights reserved},\n\tdoi = {10.52842/CONF.CAADRIA.2022.1.273},\n\tbooktitle = {Proceedings of the 27th {Conference} on {Computer} {Aided} {Architectural} {Design} {Research} in {Asia} ({CAADRIA}) [{Volume} 1]},\n\tpublisher = {CAADRIA},\n\tauthor = {Khean, Nariddh and Düring, Serjoscha and Chronis, Angelos and Koenig, Reinhard and Haeusler, Matthias Hank},\n\tmonth = jul,\n\tyear = {2022},\n\tpages = {273--282},\n}\n\n
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\n \n\n \n \n \n \n \n AI in the Design Process.\n \n \n \n\n\n \n Osintseva, I.; Bielik, M.; Schneider, S.; and Koenig, R.\n\n\n \n\n\n\n DETAIL, 6: 16–21. 2022.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{osintseva_ai_2022,\n\ttitle = {{AI} in the {Design} {Process}},\n\tvolume = {6},\n\tcopyright = {All rights reserved},\n\tabstract = {New digital algorithms support archi- tects by partially automating the generation and analysis of design variants in multi-storey residential building construction.},\n\tjournal = {DETAIL},\n\tauthor = {Osintseva, Iuliia and Bielik, Martin and Schneider, Sven and Koenig, Reinhard},\n\tyear = {2022},\n\tpages = {16--21},\n}\n\n
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\n New digital algorithms support archi- tects by partially automating the generation and analysis of design variants in multi-storey residential building construction.\n
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\n \n\n \n \n \n \n \n \n Mapping active frontages: a method for linking street-level activities to their surrounding urban forms - A case study of the city of Weimar, Germany.\n \n \n \n \n\n\n \n Abdulmawla, A.; Bielik, M.; Schneider, S.; and Koenig, R.\n\n\n \n\n\n\n In 13th International Space Syntax Symposium (13SSS), 2022. \n \n\n\n\n
\n\n\n\n \n \n \"MappingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{abdulmawla_mapping_2022,\n\ttitle = {Mapping active frontages: a method for linking street-level activities to their surrounding urban forms - {A} case study of the city of {Weimar}, {Germany}},\n\tcopyright = {All rights reserved},\n\turl = {https://www.researchgate.net/publication/363095082_Mapping_active_frontages_a_method_for_linking_street-level_activities_to_their_surrounding_urban_forms_-_A_case_study_of_the_city_of_Weimar_Germany},\n\tbooktitle = {13th {International} {Space} {Syntax} {Symposium} ({13SSS})},\n\tauthor = {Abdulmawla, Abdulmalik and Bielik, Martin and Schneider, Sven and Koenig, Reinhard},\n\tyear = {2022},\n}\n\n
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\n  \n 2021\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n Digitale adaptive Masterpläne mittels Künstlicher Intelligenz.\n \n \n \n \n\n\n \n Bielik, M.; Dennemark, M.; Koenig, R.; Schmidt, P.; and Schneider, S.\n\n\n \n\n\n\n RaumPlanung: Fachzeitschrift für räumliche Planung und Forschung, 2(211): 70–75. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"DigitalePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{bielik_digitale_2021,\n\ttitle = {Digitale adaptive {Masterpläne} mittels {Künstlicher} {Intelligenz}},\n\tvolume = {2},\n\tcopyright = {All rights reserved},\n\turl = {https://ifr-ev.de/raumplanung/geodaten/},\n\tnumber = {211},\n\tjournal = {RaumPlanung: Fachzeitschrift für räumliche Planung und Forschung},\n\tauthor = {Bielik, Martin and Dennemark, Martin and Koenig, Reinhard and Schmidt, Philippe and Schneider, Sven},\n\tyear = {2021},\n\tpages = {70--75},\n}\n\n
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\n \n\n \n \n \n \n \n \n Digitale adaptive Masterpläne mittels Künstlicher Intelligenz.\n \n \n \n \n\n\n \n Bielik, M.; Dennemark, M.; Koenig, R.; Schmidt, P.; and Schneider, S.\n\n\n \n\n\n\n RaumPlanung: Fachzeitschrift für räumliche Planung und Forschung, 2(211): 70–75. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"DigitalePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{bielik_digitale_2021-1,\n\ttitle = {Digitale adaptive {Masterpläne} mittels {Künstlicher} {Intelligenz}},\n\tvolume = {2},\n\tcopyright = {All rights reserved},\n\turl = {https://ifr-ev.de/raumplanung/geodaten/},\n\tnumber = {211},\n\tjournal = {RaumPlanung: Fachzeitschrift für räumliche Planung und Forschung},\n\tauthor = {Bielik, Martin and Dennemark, Martin and Koenig, Reinhard and Schmidt, Philippe and Schneider, Sven},\n\tyear = {2021},\n\tpages = {70--75},\n}\n\n
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\n \n\n \n \n \n \n \n Revisiting the Lanzhou New Area - A computational framework to assess spatiotemporal development strategies for new town planning.\n \n \n \n\n\n \n Düring, S.; and Koenig, R.\n\n\n \n\n\n\n In SimAUD: Symposium on Simulation for Architecture & Urban Design, 2021. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{during_revisiting_2021,\n\ttitle = {Revisiting the {Lanzhou} {New} {Area} - {A} computational framework to assess spatiotemporal development strategies for new town planning},\n\tcopyright = {All rights reserved},\n\tbooktitle = {{SimAUD}: {Symposium} on {Simulation} for {Architecture} \\& {Urban} {Design}},\n\tauthor = {Düring, Serjoscha and Koenig, Reinhard},\n\tyear = {2021},\n\tkeywords = {Computational Design, Computational analysis, New Towns, Urban Design, simulation},\n}\n\n
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\n \n\n \n \n \n \n \n The role of technologies and citizen organizations in decentralized forms of participation. A case study about residential streets in Vienna.\n \n \n \n\n\n \n Juan Carlos Carvajal Bermúdez; and Koenig, R.\n\n\n \n\n\n\n Technology in Society, 66: 1–13. August 2021.\n Publisher: Pergamon\n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{juan_carlos_carvajal_bermudez_role_2021,\n\ttitle = {The role of technologies and citizen organizations in decentralized forms of participation. {A} case study about residential streets in {Vienna}},\n\tvolume = {66},\n\tcopyright = {All rights reserved},\n\tdoi = {10.1016/j.techsoc.2021.101604},\n\tjournal = {Technology in Society},\n\tauthor = {{Juan Carlos Carvajal Bermúdez} and Koenig, Reinhard},\n\tmonth = aug,\n\tyear = {2021},\n\tnote = {Publisher: Pergamon},\n\tpages = {1--13},\n}\n\n
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\n \n\n \n \n \n \n \n \n Measuring sustainability and urban data operationalization.\n \n \n \n \n\n\n \n Elshani, D.; Koenig, R.; Duering, S.; Schneider, S.; and Chronis, A.\n\n\n \n\n\n\n In International Conference ofthe Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), volume 2, pages 407–416, Hong Kong, 2021. Association for Computer-Aided Architectural Design Research in Asia\n \n\n\n\n
\n\n\n\n \n \n \"MeasuringPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{elshani_measuring_2021,\n\taddress = {Hong Kong},\n\ttitle = {Measuring sustainability and urban data operationalization},\n\tvolume = {2},\n\tcopyright = {All rights reserved},\n\turl = {http://cumincad.scix.net/data/works/att/caadria2021_391.pdf},\n\tabstract = {With rapid urbanization, the necessity for sustainable development has skyrocketed, and sustainable urban development is a must. Recent advances in computing performance of urban layouts in real-time allow for new paradigms of performance-driven design. As beneficial as utilizing multiple layers of urban data may be, it can also create a challenge in interpreting and operationalizing data. This paper presents an integrated computational framework to measure sustainability, operationalize and interpret the urban form's performance data using generative design methods, novel performance simulations, and machine learning predictions. The performance data is clustered into three pillars of sustainability: social, environmental, and economical, and it is followed with the performance space exploration, which assists in extracting knowledge and actionable rules of thumb. A significant advantage of the framework is that it can be used as a discussion table in participatory planning processes since it could be easily adapted to interactive environments.},\n\tbooktitle = {International {Conference} ofthe {Association} for {Computer}-{Aided} {Architectural} {Design} {Research} in {Asia} ({CAADRIA})},\n\tpublisher = {Association for Computer-Aided Architectural Design Research in Asia},\n\tauthor = {Elshani, Diellza and Koenig, Reinhard and Duering, Serjoscha and Schneider, Sven and Chronis, Angelos},\n\tyear = {2021},\n\tkeywords = {Generative design, data interpretation, machine learning, performance simulation, urban sustainability},\n\tpages = {407--416},\n}\n\n
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\n With rapid urbanization, the necessity for sustainable development has skyrocketed, and sustainable urban development is a must. Recent advances in computing performance of urban layouts in real-time allow for new paradigms of performance-driven design. As beneficial as utilizing multiple layers of urban data may be, it can also create a challenge in interpreting and operationalizing data. This paper presents an integrated computational framework to measure sustainability, operationalize and interpret the urban form's performance data using generative design methods, novel performance simulations, and machine learning predictions. The performance data is clustered into three pillars of sustainability: social, environmental, and economical, and it is followed with the performance space exploration, which assists in extracting knowledge and actionable rules of thumb. A significant advantage of the framework is that it can be used as a discussion table in participatory planning processes since it could be easily adapted to interactive environments.\n
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\n \n\n \n \n \n \n \n \n ARCH-Elites: Quality-Diversity for Urban Design.\n \n \n \n \n\n\n \n Galanos, T.; Liapis, A.; Yannakakis, G. N.; and Koenig, R.\n\n\n \n\n\n\n In Genetic and Evolutionary Computation Conference Companion (GECCO '21 Companion), pages 1–2, Lille, France, 2021. Association for Computing Machinery\n _eprint: 2104.08774\n\n\n\n
\n\n\n\n \n \n \"ARCH-Elites:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{galanos_arch-elites_2021,\n\taddress = {Lille, France},\n\ttitle = {{ARCH}-{Elites}: {Quality}-{Diversity} for {Urban} {Design}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-8351-6},\n\turl = {http://arxiv.org/abs/2104.08774%0Ahttp://dx.doi.org/10.1145/3449726.3459490},\n\tdoi = {10.1145/3449726.3459490},\n\tabstract = {This paper introduces ARCH-Elites, a MAP-Elites implementation that can reconfigure large-scale urban layouts at real-world locations via a pre-trained surrogate model instead of costly simulations. In a series of experiments, we generate novel urban designs for two real-world locations in Boston, Massachusetts. Combining the exploration of a possibility space with real-time performance evaluation creates a powerful new paradigm for architectural generative design that can extract and articulate design intelligence.},\n\tbooktitle = {Genetic and {Evolutionary} {Computation} {Conference} {Companion} ({GECCO} '21 {Companion})},\n\tpublisher = {Association for Computing Machinery},\n\tauthor = {Galanos, Theodoros and Liapis, Antonios and Yannakakis, Georgios N. and Koenig, Reinhard},\n\tyear = {2021},\n\tnote = {\\_eprint: 2104.08774},\n\tkeywords = {MAP-Elites, architecture, evolutionary algorithms, map-elites, quality diversity, urban de-, urban design},\n\tpages = {1--2},\n}\n\n
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\n This paper introduces ARCH-Elites, a MAP-Elites implementation that can reconfigure large-scale urban layouts at real-world locations via a pre-trained surrogate model instead of costly simulations. In a series of experiments, we generate novel urban designs for two real-world locations in Boston, Massachusetts. Combining the exploration of a possibility space with real-time performance evaluation creates a powerful new paradigm for architectural generative design that can extract and articulate design intelligence.\n
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\n \n\n \n \n \n \n \n \n Informing the design of courtyard street blocks using solar energy models : generating university campus scenarios for Singapore.\n \n \n \n \n\n\n \n Vititneva, E.; Shi, Z.; Herthogs, P.; Koenig, R.; von Richthofen, A.; and Schneider, S.\n\n\n \n\n\n\n In CISBAT 2021: Carbon Neutral Cities - Energy Efficiency & Renewables in the Digital Era, pages 1–7, Lausanne, Switzerland, 2021. \n \n\n\n\n
\n\n\n\n \n \n \"InformingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{vititneva_informing_2021,\n\taddress = {Lausanne, Switzerland},\n\ttitle = {Informing the design of courtyard street blocks using solar energy models : generating university campus scenarios for {Singapore}},\n\tcopyright = {All rights reserved},\n\turl = {https://cisbat.epfl.ch/},\n\tbooktitle = {{CISBAT} 2021: {Carbon} {Neutral} {Cities} - {Energy} {Efficiency} \\& {Renewables} in the {Digital} {Era}},\n\tauthor = {Vititneva, Ekaterina and Shi, Zhongming and Herthogs, Pieter and Koenig, Reinhard and von Richthofen, Aurel and Schneider, Sven},\n\tyear = {2021},\n\tpages = {1--7},\n}\n\n
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\n \n\n \n \n \n \n \n \n L'échelle urbaine.\n \n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n In Chaillou, S., editor(s), L'intelligence artificielle au service de l'architecture, pages 92–102. Le Moniteur, Paris, 2021.\n \n\n\n\n
\n\n\n\n \n \n \"L'échellePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{koenig_lechelle_2021,\n\taddress = {Paris},\n\ttitle = {L'échelle urbaine},\n\tcopyright = {All rights reserved},\n\tisbn = {978-2-281-14485-7},\n\turl = {https://boutique.lemoniteur.fr/l-intelligence-artificielle-au-service-de-l-architecture.html},\n\tbooktitle = {L'intelligence artificielle au service de l'architecture},\n\tpublisher = {Le Moniteur},\n\tauthor = {Koenig, Reinhard},\n\teditor = {Chaillou, Stanislas},\n\tyear = {2021},\n\tpages = {92--102},\n}\n\n
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\n \n\n \n \n \n \n \n \n Künstliche intelligenz im Architekturentwurf.\n \n \n \n \n\n\n \n Koenig, R.; Schneider, S.; Bielik, M.; Osintseve, I.; and Fuchkina, E.\n\n\n \n\n\n\n Informationen zur Raumentwicklung, 48(3): 50–61. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"KünstlichePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{koenig_kunstliche_2021,\n\ttitle = {Künstliche intelligenz im {Architekturentwurf}},\n\tvolume = {48},\n\tcopyright = {All rights reserved},\n\turl = {https://elibrary.steiner-verlag.de/article/99.105010/izr202103005001},\n\tnumber = {3},\n\tjournal = {Informationen zur Raumentwicklung},\n\tauthor = {Koenig, Reinhard and Schneider, Sven and Bielik, Martin and Osintseve, Iuliia and Fuchkina, Ekaterina},\n\tyear = {2021},\n\tpages = {50--61},\n}\n\n
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\n  \n 2020\n \n \n (11)\n \n \n
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\n \n\n \n \n \n \n \n \n Computer-aided approach to public buildings floor plan generation. Magnetizing Floor Plan Generator.\n \n \n \n \n\n\n \n Gavrilov, E.; Schneider, S.; Dennemark, M.; and Koenig, R.\n\n\n \n\n\n\n Procedia Manufacturing, 44(2019): 132–139. 2020.\n Publisher: Elsevier B.V.\n\n\n\n
\n\n\n\n \n \n \"Computer-aidedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{gavrilov_computer-aided_2020,\n\ttitle = {Computer-aided approach to public buildings floor plan generation. {Magnetizing} {Floor} {Plan} {Generator}},\n\tvolume = {44},\n\tcopyright = {All rights reserved},\n\tissn = {23519789},\n\turl = {https://doi.org/10.1016/j.promfg.2020.02.214},\n\tdoi = {10.1016/j.promfg.2020.02.214},\n\tabstract = {For architects as well as developers and urban planners working on the floor plans or estimating the shape and dimensions of large buildings is always a challenge. This task requires some knowledge and what is more important - even with understanding of the process it is a very time-consuming task. One should take into consideration the arrangement of all rooms as well as adjacencies and connections of main spaces. Presented project can be considered as an exploration of various ways of generating floor plans for public buildings, which was followed by creating a new algorithm for solving that task. Public buildings were chosen as a main target of conducted research because of their complex and non-standardized structure. The aim was to try different previously described approaches, invent completely new techniques and methods, choose the best of them and incorporate them into our own generator. The creation of working generator prototype was an important target of the project and should not be considered as its final stage, since this trial revealed some positive and negative sides of chosen approach and therefore serves as an intermediate stage. Floor plans analysis was conducted in order to understand the structural patterns of communication spaces in built public houses. One of positive outcomes of this investigation is that public buildings do not share a lot of features in common, therefore this field of exploration is rather unobstructed and provides a lot of possibilities for experiments.},\n\tnumber = {2019},\n\tjournal = {Procedia Manufacturing},\n\tauthor = {Gavrilov, Egor and Schneider, Sven and Dennemark, Martin and Koenig, Reinhard},\n\tyear = {2020},\n\tnote = {Publisher: Elsevier B.V.},\n\tkeywords = {Evolutionary strategy, Floor plan generation, Floor plan generator, Magnetizing Floor Plan Generator, MagnetizingFPG},\n\tpages = {132--139},\n}\n\n
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\n For architects as well as developers and urban planners working on the floor plans or estimating the shape and dimensions of large buildings is always a challenge. This task requires some knowledge and what is more important - even with understanding of the process it is a very time-consuming task. One should take into consideration the arrangement of all rooms as well as adjacencies and connections of main spaces. Presented project can be considered as an exploration of various ways of generating floor plans for public buildings, which was followed by creating a new algorithm for solving that task. Public buildings were chosen as a main target of conducted research because of their complex and non-standardized structure. The aim was to try different previously described approaches, invent completely new techniques and methods, choose the best of them and incorporate them into our own generator. The creation of working generator prototype was an important target of the project and should not be considered as its final stage, since this trial revealed some positive and negative sides of chosen approach and therefore serves as an intermediate stage. Floor plans analysis was conducted in order to understand the structural patterns of communication spaces in built public houses. One of positive outcomes of this investigation is that public buildings do not share a lot of features in common, therefore this field of exploration is rather unobstructed and provides a lot of possibilities for experiments.\n
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\n \n\n \n \n \n \n \n Optimizing Urban Systems : Integrated Optimization of Spatial Configurations.\n \n \n \n\n\n \n Duering, S.; Chronis, A.; and Koenig, R.\n\n\n \n\n\n\n In SimAUD: Symposium on Simulation for Architecture & Urban Design, pages 509–515, 2020. \n Issue: June\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{duering_optimizing_2020,\n\ttitle = {Optimizing {Urban} {Systems} : {Integrated} {Optimization} of {Spatial} {Configurations}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {{SimAUD}: {Symposium} on {Simulation} for {Architecture} \\& {Urban} {Design}},\n\tauthor = {Duering, Serjoscha and Chronis, Angelos and Koenig, Reinhard},\n\tyear = {2020},\n\tnote = {Issue: June},\n\tpages = {509--515},\n}\n\n
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\n \n\n \n \n \n \n \n Planning with Uncertain Growth Projections - a computational framework for finding resilient, spatiotemporal development strategies for new town developments.\n \n \n \n\n\n \n Duering, S.; Sluka, A.; and Koenig, R.\n\n\n \n\n\n\n In 25th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong, 2020. Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)\n \n\n\n\n
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@inproceedings{duering_planning_2020,\n\taddress = {Hong Kong},\n\ttitle = {Planning with {Uncertain} {Growth} {Projections} - a computational framework for finding resilient, spatiotemporal development strategies for new town developments},\n\tcopyright = {All rights reserved},\n\tbooktitle = {25th {International} {Conference} of the {Association} for {Computer}-{Aided} {Architectural} {Design} {Research} in {Asia} ({CAADRIA})},\n\tpublisher = {Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)},\n\tauthor = {Duering, Serjoscha and Sluka, Andrej and Koenig, Reinhard},\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n Artificial Intelligende in Architecture and City-Scale Design.\n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n In Chaillou, S., editor(s), AI & Architecture, pages 1–2. Le Moniteur, Paris, 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{koenig_artificial_2020,\n\taddress = {Paris},\n\ttitle = {Artificial {Intelligende} in {Architecture} and {City}-{Scale} {Design}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {{AI} \\& {Architecture}},\n\tpublisher = {Le Moniteur},\n\tauthor = {Koenig, Reinhard},\n\teditor = {Chaillou, Stanislas},\n\tyear = {2020},\n\tpages = {1--2},\n}\n\n
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\n \n\n \n \n \n \n \n \n Digital Cities.\n \n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n In Hovestadt, L.; Hirschberg, U.; and Fritz, O., editor(s), Atlas of Digital Architecture, pages 529–548. Birkhäuser, Basel, 2020.\n \n\n\n\n
\n\n\n\n \n \n \"DigitalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{koenig_digital_2020,\n\taddress = {Basel},\n\ttitle = {Digital {Cities}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-0356-1990-4},\n\turl = {https://www.degruyter.com/view/title/523522?rskey=w055yX&result=1},\n\tbooktitle = {Atlas of {Digital} {Architecture}},\n\tpublisher = {Birkhäuser},\n\tauthor = {Koenig, Reinhard},\n\teditor = {Hovestadt, Ludger and Hirschberg, Urs and Fritz, Oliver},\n\tyear = {2020},\n\tpages = {529--548},\n}\n\n
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\n \n\n \n \n \n \n \n Levels of Automation in Urban Design Through Artificial Intelligence: A Framework to Characterize Automation Approaches.\n \n \n \n\n\n \n Koenig, R.; Bielik, M.; Dennemark, M.; Fink, T.; Schneider, S.; and Siegmund, N.\n\n\n \n\n\n\n Built Environment, 46(4): 599–619. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{koenig_levels_2020,\n\ttitle = {Levels of {Automation} in {Urban} {Design} {Through} {Artificial} {Intelligence}: {A} {Framework} to {Characterize} {Automation} {Approaches}},\n\tvolume = {46},\n\tcopyright = {All rights reserved},\n\tdoi = {https://doi.org/10.2148/benv.46.4.599},\n\tabstract = {One of the most important consequences of digitalization and the progress of artificial intelligence is automation in all areas of life. In this paper we investigate the automation of urban design. Based on four levels of automation, we provide a conceptual framework for the classification and comparison of various urban design automation approaches and consider the scope of their applicability and the division of tasks between humans and computers. The proposed framework is applied in two demonstration projects. Finally, we discuss the technical needs and possibilities for increasing urban design automation, as well as the implications these are expected to have for the profession of urban designers and architects. City Information Modelling: Digital Planning for Sustainable Cities. ISSN 0263-7960},\n\tnumber = {4},\n\tjournal = {Built Environment},\n\tauthor = {Koenig, Reinhard and Bielik, Martin and Dennemark, Martin and Fink, Theresa and Schneider, Sven and Siegmund, Norbert},\n\tyear = {2020},\n\tkeywords = {ARTIFICIAL IN℡LIGENCE, AUTOMATED URBAN DESIGN SOLVER, AUTOMATION, LEVEL OF AUTOMATION (LOA), URBAN DESIGN},\n\tpages = {599--619},\n}\n\n
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\n One of the most important consequences of digitalization and the progress of artificial intelligence is automation in all areas of life. In this paper we investigate the automation of urban design. Based on four levels of automation, we provide a conceptual framework for the classification and comparison of various urban design automation approaches and consider the scope of their applicability and the division of tasks between humans and computers. The proposed framework is applied in two demonstration projects. Finally, we discuss the technical needs and possibilities for increasing urban design automation, as well as the implications these are expected to have for the profession of urban designers and architects. City Information Modelling: Digital Planning for Sustainable Cities. ISSN 0263-7960\n
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\n \n\n \n \n \n \n \n INFRARED: An Intelligent Framework for Resilient Design ANGELOS.\n \n \n \n\n\n \n Chronis, A.; Aichinger, A.; Duering, S.; Galanos, T.; Fink, T.; Vesely, O.; and Koenig, R.\n\n\n \n\n\n\n In 25th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), pages 1–10, Hong Kong, 2020. Association for Computer-Aided Architectural Design Research in Asia\n \n\n\n\n
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@inproceedings{chronis_infrared_2020,\n\taddress = {Hong Kong},\n\ttitle = {{INFRARED}: {An} {Intelligent} {Framework} for {Resilient} {Design} {ANGELOS}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {25th {International} {Conference} of the {Association} for {Computer}-{Aided} {Architectural} {Design} {Research} in {Asia} ({CAADRIA})},\n\tpublisher = {Association for Computer-Aided Architectural Design Research in Asia},\n\tauthor = {Chronis, Angelos and Aichinger, Anna and Duering, Serjoscha and Galanos, Theodore and Fink, Theresa and Vesely, Ondrej and Koenig, Reinhard},\n\tyear = {2020},\n\tkeywords = {augmented reality, deep learning, generative design, machine learning, simulation},\n\tpages = {1--10},\n}\n\n
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\n \n\n \n \n \n \n \n Rural Urban Transformation : Parametric A pproach on M etabolism- B ased Planning Strategies in Ethiopia.\n \n \n \n\n\n \n Elshani, D.; Vititneva, E.; Gilmanov, A.; Koenig, R.; Dennemark, M.; Schneider, S.; Schmidt, P.; and Abdulmawla, A.\n\n\n \n\n\n\n In SimAUD: Symposium on Simulation for Architecture & Urban Design, pages 227–230, Vienna, Austria, 2020. Society for Modeling & Simulation International (SCS)\n \n\n\n\n
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@inproceedings{elshani_rural_2020,\n\taddress = {Vienna, Austria},\n\ttitle = {Rural {Urban} {Transformation} : {Parametric} {A} pproach on {M} etabolism- {B} ased {Planning} {Strategies} in {Ethiopia}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {{SimAUD}: {Symposium} on {Simulation} for {Architecture} \\& {Urban} {Design}},\n\tpublisher = {Society for Modeling \\& Simulation International (SCS)},\n\tauthor = {Elshani, Diellza and Vititneva, Ekaterina and Gilmanov, Artem and Koenig, Reinhard and Dennemark, Martin and Schneider, Sven and Schmidt, Philippe and Abdulmawla, Abdulmalik},\n\tyear = {2020},\n\tpages = {227--230},\n}\n\n
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\n \n\n \n \n \n \n \n \n Integrating urban analysis, generative design, and evolutionary optimization for solving urban design problems.\n \n \n \n \n\n\n \n Koenig, R.; Yufan Miao; Knecht, K.; Aichinger, A.; and Konieva, K.\n\n\n \n\n\n\n Environment and Planning B: Urban Analytics and City Science, 47(6): 997–1013. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"IntegratingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{koenig_integrating_2020,\n\ttitle = {Integrating urban analysis, generative design, and evolutionary optimization for solving urban design problems},\n\tvolume = {47},\n\tcopyright = {All rights reserved},\n\turl = {https://doi.org/10.1177/2399808319894986},\n\tabstract = {To better support urban designers in planning sustainable, resilient, and livable urban environments, new methods and tools are needed. A variety of computational approaches have been proposed, including different forms of spatial analysis to evaluate the performance of design proposals, or the automated generation of urban design proposals based on specific parameters. However, most of these propositions have produced separate tools and disconnected workflows. In the context of urban design optimization procedures, one of the main challenges of integrating urban analytics and generative methods is a suitable computational representation of the urban design problem. To overcome this difficulty, we present a holistic data representation for urban fabrics, including the layout of street networks, parcels, and buildings, which can be used efficiently with evolutionary optimization algorithms. We demonstrate the use of the data structure implemented for the software Grasshopper for Rhino3D as part of a flexible, modular, and extensible optimization system that can be used for a variety of urban design problems and is able to reconcile potentially contradicting design goals in a semi-automated design process. The proposed optimization system aims to assist a designer by populating the design space with options for more detailed exploration. We demonstrate the functionality of our system using the example of an urban master-design project for the city of Weimar.},\n\tnumber = {6},\n\tjournal = {Environment and Planning B: Urban Analytics and City Science},\n\tauthor = {Koenig, Reinhard and {Yufan Miao} and Knecht, Katja and Aichinger, Anna and Konieva, Kateryna},\n\tyear = {2020},\n\tpages = {997--1013},\n}\n\n
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\n To better support urban designers in planning sustainable, resilient, and livable urban environments, new methods and tools are needed. A variety of computational approaches have been proposed, including different forms of spatial analysis to evaluate the performance of design proposals, or the automated generation of urban design proposals based on specific parameters. However, most of these propositions have produced separate tools and disconnected workflows. In the context of urban design optimization procedures, one of the main challenges of integrating urban analytics and generative methods is a suitable computational representation of the urban design problem. To overcome this difficulty, we present a holistic data representation for urban fabrics, including the layout of street networks, parcels, and buildings, which can be used efficiently with evolutionary optimization algorithms. We demonstrate the use of the data structure implemented for the software Grasshopper for Rhino3D as part of a flexible, modular, and extensible optimization system that can be used for a variety of urban design problems and is able to reconcile potentially contradicting design goals in a semi-automated design process. The proposed optimization system aims to assist a designer by populating the design space with options for more detailed exploration. We demonstrate the functionality of our system using the example of an urban master-design project for the city of Weimar.\n
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\n \n\n \n \n \n \n \n The Development of Optimization Methods in Generative Urban Design: A Review.\n \n \n \n\n\n \n Miao, Y.; Koenig, R.; and Knecht, K.\n\n\n \n\n\n\n In SimAUD: Symposium on Simulation for Architecture & Urban Design, pages 247–254, Vienna, Austria, 2020. Society for Modeling & Simulation International (SCS)\n \n\n\n\n
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@inproceedings{miao_development_2020,\n\taddress = {Vienna, Austria},\n\ttitle = {The {Development} of {Optimization} {Methods} in {Generative} {Urban} {Design}: {A} {Review}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {{SimAUD}: {Symposium} on {Simulation} for {Architecture} \\& {Urban} {Design}},\n\tpublisher = {Society for Modeling \\& Simulation International (SCS)},\n\tauthor = {Miao, Yufan and Koenig, Reinhard and Knecht, Katja},\n\tyear = {2020},\n\tpages = {247--254},\n}\n\n
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\n \n\n \n \n \n \n \n Automated Parametric Building Volume Generation : a Case Study for Urban Blocks.\n \n \n \n\n\n \n Osintseva, I.; Koenig, R.; Berst, A.; Bielik, M.; and Schneider, S.\n\n\n \n\n\n\n In SimAUD: Symposium on Simulation for Architecture & Urban Design, pages 211–218, Vienna, Austria, 2020. Society for Modeling & Simulation International (SCS)\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{osintseva_automated_2020,\n\taddress = {Vienna, Austria},\n\ttitle = {Automated {Parametric} {Building} {Volume} {Generation} : a {Case} {Study} for {Urban} {Blocks}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {{SimAUD}: {Symposium} on {Simulation} for {Architecture} \\& {Urban} {Design}},\n\tpublisher = {Society for Modeling \\& Simulation International (SCS)},\n\tauthor = {Osintseva, Iuliia and Koenig, Reinhard and Berst, Andreas and Bielik, Martin and Schneider, Sven},\n\tyear = {2020},\n\tpages = {211--218},\n}\n\n
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\n  \n 2019\n \n \n (13)\n \n \n
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\n \n\n \n \n \n \n \n DeCodingSpaces Toolbox for Grasshopper: Computational analysis and generation of STREET NETWORK, PLOTS and BUILDINGS.\n \n \n \n\n\n \n Koenig, R.; Miao, Y.; Schneider, S.; Vesely, O.; Buš, P.; Bielik, M.; Abdulmawla, A.; Dennemark, M.; Fuchkina, E.; Aichinger, A.; and Knecht, K.\n\n\n \n\n\n\n October 2019.\n \n\n\n\n
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@misc{koenig_decodingspaces_2019,\n\ttitle = {{DeCodingSpaces} {Toolbox} for {Grasshopper}: {Computational} analysis and generation of {STREET} {NETWORK}, {PLOTS} and {BUILDINGS}},\n\tshorttitle = {{DeCodingSpaces} {Toolbox} for {Grasshopper}},\n\tabstract = {The DeCodingSpaces Toolbox for Grasshopper is a collection of analytical and generative components for algorithmic architectural and urban planning. The toolbox is free software released by the Computational Planning Group (CPlan) and is a result of long term collaboration between academic institutions and praxis partners across the globe with the common goal to increase the efficiency and quality of architecture and urban planning. \n\nDevelopment of the toolbox is on-going. Please visit https://toolbox.decodingspaces.net/ for the latest tutorials and case studies as well as to download the latest version of the DeCodingSpaces Grasshopper library.},\n\tauthor = {Koenig, Reinhard and Miao, Yufan and Schneider, Sven and Vesely, Ondrej and Buš, Peter and Bielik, Martin and Abdulmawla, Abdulmalik and Dennemark, Martin and Fuchkina, Ekaterina and Aichinger, Anna and Knecht, Katja},\n\tmonth = oct,\n\tyear = {2019},\n}\n\n
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\n The DeCodingSpaces Toolbox for Grasshopper is a collection of analytical and generative components for algorithmic architectural and urban planning. The toolbox is free software released by the Computational Planning Group (CPlan) and is a result of long term collaboration between academic institutions and praxis partners across the globe with the common goal to increase the efficiency and quality of architecture and urban planning. Development of the toolbox is on-going. Please visit https://toolbox.decodingspaces.net/ for the latest tutorials and case studies as well as to download the latest version of the DeCodingSpaces Grasshopper library.\n
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\n \n\n \n \n \n \n \n \n Künstliche Intelligenz für die nachhaltige Stadtentwicklung der Zukunft: Adaptive Masterpläne für Projekte in Äthiopien und Singapur.\n \n \n \n \n\n\n \n Koenig, R.; Schmidt, P.; Schneider, S.; Bielik, M.; and Dennemark, M.\n\n\n \n\n\n\n In Speitkamp, W.; and Weinreich, C., editor(s), Idee Inhalt Form: Beiträge zur Gestaltung der Gegenwart, pages 367–377. Bauhaus-Universität Weimar, Weimar, 2019.\n Section: 4.07\n\n\n\n
\n\n\n\n \n \n \"KünstlichePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{koenig_kunstliche_2019,\n\taddress = {Weimar},\n\ttitle = {Künstliche {Intelligenz} für die nachhaltige {Stadtentwicklung} der {Zukunft}: {Adaptive} {Masterpläne} für {Projekte} in Äthiopien und {Singapur}},\n\tcopyright = {All rights reserved},\n\tisbn = {3-00-064300-1},\n\turl = {https://bauhaus100.uni-weimar.de/de/newsbeitrag/titel/jubilaeumsbuch-idee-inhalt-form-beitraege-zur-gestaltung-der-gegenwart/},\n\tbooktitle = {Idee {Inhalt} {Form}: {Beiträge} zur {Gestaltung} der {Gegenwart}},\n\tpublisher = {Bauhaus-Universität Weimar},\n\tauthor = {Koenig, Reinhard and Schmidt, Philippe and Schneider, Sven and Bielik, Martin and Dennemark, Martin},\n\teditor = {Speitkamp, Wilfried and Weinreich, Claudia},\n\tyear = {2019},\n\tnote = {Section: 4.07},\n\tpages = {367--377},\n}\n\n
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\n \n\n \n \n \n \n \n Urban Design Space Exploration.\n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n In Schmitt, G.; Tapias, E.; and Wisniewska, M. H, editor(s), City in your Hands, pages 33–34. Swiss Federal Institute of Technology in Zurich (ETHZ), Zurich, Switzerland, 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@incollection{koenig_urban_2019,\n\taddress = {Zurich, Switzerland},\n\ttitle = {Urban {Design} {Space} {Exploration}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {City in your {Hands}},\n\tpublisher = {Swiss Federal Institute of Technology in Zurich (ETHZ)},\n\tauthor = {Koenig, Reinhard},\n\teditor = {Schmitt, Gerhard and Tapias, Estefania and Wisniewska, Marta H},\n\tyear = {2019},\n\tpages = {33--34},\n}\n\n
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\n \n\n \n \n \n \n \n \n Applied Spatial Accessibility Analysis for Urban Design: An integrated graph-gravity model implemented in Grasshopper.\n \n \n \n \n\n\n \n Düring, S.; Sluka, A.; Vesely, O.; and Koenig, R.\n\n\n \n\n\n\n In Sousa, J.; Xavier, J.; and Castro Henriques, G, editor(s), eCAADe 37 / SIGraDi 23, volume 3, pages 333–342, Porto, Portugal, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"AppliedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{during_applied_2019,\n\taddress = {Porto, Portugal},\n\ttitle = {Applied {Spatial} {Accessibility} {Analysis} for {Urban} {Design}: {An} integrated graph-gravity model implemented in {Grasshopper}},\n\tvolume = {3},\n\tcopyright = {All rights reserved},\n\turl = {papers.cumincad.org/cgi-bin/works/paper/ecaadesigradi2019_475},\n\tbooktitle = {{eCAADe} 37 / {SIGraDi} 23},\n\tauthor = {Düring, Serjoscha and Sluka, Andrej and Vesely, Ondrej and Koenig, Reinhard},\n\teditor = {Sousa, JP and Xavier, JP and Castro Henriques, G},\n\tyear = {2019},\n\tkeywords = {accessibility, evidence-based design, graph model, urban design},\n\tpages = {333--342},\n}\n\n
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\n \n\n \n \n \n \n \n \n Digital Integrative Urban Planning.\n \n \n \n \n\n\n \n Fink, T.; and Koenig, R.\n\n\n \n\n\n\n In Naboni, E.; and Havinga, L., editor(s), Regenerative Design in Digital Practice: A Handbook for the Built Environment, pages 207–215. Eurac, Bolzano, Italy, 2019.\n \n\n\n\n
\n\n\n\n \n \n \"DigitalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{fink_digital_2019,\n\taddress = {Bolzano, Italy},\n\ttitle = {Digital {Integrative} {Urban} {Planning}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-9504607-2-8},\n\turl = {https://www.researchgate.net/publication/336121907_Regenerative_Design_In_Digital_Practice_A_Handbook_for_the_Built_Environment},\n\tbooktitle = {Regenerative {Design} in {Digital} {Practice}: {A} {Handbook} for the {Built} {Environment}},\n\tpublisher = {Eurac},\n\tauthor = {Fink, Theresa and Koenig, Reinhard},\n\teditor = {Naboni, Emanuele and Havinga, Lisanne},\n\tyear = {2019},\n\tpages = {207--215},\n}\n\n
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\n \n\n \n \n \n \n \n Evaluation of systems for video-based online teaching: Create your own MOOC or SPOC.\n \n \n \n\n\n \n Koenig, R.; and Schneider, S.\n\n\n \n\n\n\n In Sousa, J.; Xavier, J.; and Castro Henriques, G, editor(s), eCAADe 37 / SIGraDi 23, volume 1, pages 109–116, Porto, Portugal, 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{koenig_evaluation_2019,\n\taddress = {Porto, Portugal},\n\ttitle = {Evaluation of systems for video-based online teaching: {Create} your own {MOOC} or {SPOC}},\n\tvolume = {1},\n\tcopyright = {All rights reserved},\n\tbooktitle = {{eCAADe} 37 / {SIGraDi} 23},\n\tauthor = {Koenig, Reinhard and Schneider, Sven},\n\teditor = {Sousa, JP and Xavier, JP and Castro Henriques, G},\n\tyear = {2019},\n\tkeywords = {mooc, online learning, spoc, video-based courses},\n\tpages = {109--116},\n}\n\n
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\n \n\n \n \n \n \n \n \n Computational Support for Interactive Exploration of Urban Design Variants.\n \n \n \n \n\n\n \n Lee, S.; Koenig, R.; and Petzold, F.\n\n\n \n\n\n\n In Lee, J., editor(s), CAADFutures 19, pages 259–273, Daejeon, Korea, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"ComputationalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{lee_computational_2019,\n\taddress = {Daejeon, Korea},\n\ttitle = {Computational {Support} for {Interactive} {Exploration} of {Urban} {Design} {Variants}},\n\tcopyright = {All rights reserved},\n\turl = {http://papers.cumincad.org/cgi-bin/works/paper/cf2019_019},\n\tbooktitle = {{CAADFutures} 19},\n\tauthor = {Lee, Seong-ki and Koenig, Reinhard and Petzold, Frank},\n\teditor = {Lee, Ji-Hyun},\n\tyear = {2019},\n\tkeywords = {design management, design process, design support system, interactive exploration, urban design},\n\tpages = {259--273},\n}\n\n
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\n \n\n \n \n \n \n \n \n Evolving Configurational Properties: Simulating multiplier effects between land use and movement patterns.\n \n \n \n \n\n\n \n Bielik, M.; Koenig, R.; Fuchkina, E.; Schneider, S.; and Abdulmawla, A.\n\n\n \n\n\n\n In Proceedings of the 12th Space Syntax Symposium, pages 1–20, Beijing, China, 2019. \n \n\n\n\n
\n\n\n\n \n \n \"EvolvingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{bielik_evolving_2019,\n\taddress = {Beijing, China},\n\ttitle = {Evolving {Configurational} {Properties}: {Simulating} multiplier effects between land use and movement patterns},\n\tcopyright = {All rights reserved},\n\turl = {https://toolbox.decodingspaces.net/evolving-configurational-properties/},\n\tbooktitle = {Proceedings of the 12th {Space} {Syntax} {Symposium}},\n\tauthor = {Bielik, Martin and Koenig, Reinhard and Fuchkina, Ekaterina and Schneider, Sven and Abdulmawla, Abdulmalik},\n\tyear = {2019},\n\tkeywords = {centrality, land use, movement, multiplier effects, street network configuration, system dynamics},\n\tpages = {1--20},\n}\n\n
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\n \n\n \n \n \n \n \n Integrated Parametric Urban Design in Grasshopper / Rhinoceros 3D: Demonstrated on a Master Plan in Vienna.\n \n \n \n\n\n \n Fink, T.; and Koenig, R.\n\n\n \n\n\n\n In Sousa, J.; Xavier, J.; and Castro Henriques, G, editor(s), eCAADe 37 / SIGraDi 23, volume 3, pages 313–322, Porto, Portugal, 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{fink_integrated_2019,\n\taddress = {Porto, Portugal},\n\ttitle = {Integrated {Parametric} {Urban} {Design} in {Grasshopper} / {Rhinoceros} {3D}: {Demonstrated} on a {Master} {Plan} in {Vienna}},\n\tvolume = {3},\n\tcopyright = {All rights reserved},\n\tbooktitle = {{eCAADe} 37 / {SIGraDi} 23},\n\tauthor = {Fink, Theresa and Koenig, Reinhard},\n\teditor = {Sousa, JP and Xavier, JP and Castro Henriques, G},\n\tyear = {2019},\n\tkeywords = {design, environmental performance, evaluation, parametric modeling, urban design, urban simulation},\n\tpages = {313--322},\n}\n\n
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\n \n\n \n \n \n \n \n Collaborative large-scale urban design with the focus on the agent-based traffic simulation.\n \n \n \n\n\n \n Konieva, K.; Knecht, K.; and Koenig, R.\n\n\n \n\n\n\n In CAADRIA 24, volume 2, pages 221–230, Hong Kong., 2019. Association for Computer-Aided Architectural Design Research in Asia\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{konieva_collaborative_2019,\n\taddress = {Hong Kong.},\n\ttitle = {Collaborative large-scale urban design with the focus on the agent-based traffic simulation},\n\tvolume = {2},\n\tcopyright = {All rights reserved},\n\tbooktitle = {{CAADRIA} 24},\n\tpublisher = {Association for Computer-Aided Architectural Design Research in Asia},\n\tauthor = {Konieva, Kateryna and Knecht, Katja and Koenig, Reinhard},\n\tyear = {2019},\n\tkeywords = {collaborative, parametric urban design, urban mobility},\n\tpages = {221--230},\n}\n\n
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\n \n\n \n \n \n \n \n \n An integrated urban planning and simulation method to enforce spatial resilience towards flooding hazards.\n \n \n \n \n\n\n \n Morschek, J.; Koenig, R.; and Schneider, S.\n\n\n \n\n\n\n In Symposium on Simulation for Architecure and Urban Design (SimAUD), pages 1–8, 2019. Society for Modeling & Simulation International (SCS)\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{morschek_integrated_2019,\n\ttitle = {An integrated urban planning and simulation method to enforce spatial resilience towards flooding hazards},\n\tcopyright = {All rights reserved},\n\turl = {http://simaud.org/proceedings/},\n\tabstract = {Urban development projects in flood-prone areas are usually complex tasks where failures can cause disastrous outcomes. To tackle this problem, we introduce a toolbox (Spatial Resilience Toolbox – Flooding, short: SRTF) to integrate flooding related aspects into the planning process. This, so called toolbox enables stakeholders to assess risks, evaluate designs and identify possible mitigations of flood-related causes within the planning software environment Rhinoceros 3D and Grasshopper. The paper presents a convenient approach to integrate flooding simulation and analysis at various scales and abstractions into the planning process. The toolbox conducts physically based simulations to give the user feedback about the current state of flooding resilience within an urban fabric. It is possible to evaluate existing structures, ongoing developments as well as future plans. The toolbox is designed to handle structures in a building scale as well as entire neighborhood developments or cities. Urban designers can optimize the spatial layout according to flood resilience in an early phase of the planning process. In this way, the toolbox can help to minimize the risk of flooding and simultaneously reduces the cost arising from the implementation and maintenance of drainage infrastructure.},\n\tbooktitle = {Symposium on {Simulation} for {Architecure} and {Urban} {Design} ({SimAUD})},\n\tpublisher = {Society for Modeling \\& Simulation International (SCS)},\n\tauthor = {Morschek, Julius and Koenig, Reinhard and Schneider, Sven},\n\tyear = {2019},\n\tkeywords = {Fluid dynamics, Grasshopper for Rhino, flood simulation, spatial resilience},\n\tpages = {1--8},\n}\n\n
\n
\n\n\n
\n Urban development projects in flood-prone areas are usually complex tasks where failures can cause disastrous outcomes. To tackle this problem, we introduce a toolbox (Spatial Resilience Toolbox – Flooding, short: SRTF) to integrate flooding related aspects into the planning process. This, so called toolbox enables stakeholders to assess risks, evaluate designs and identify possible mitigations of flood-related causes within the planning software environment Rhinoceros 3D and Grasshopper. The paper presents a convenient approach to integrate flooding simulation and analysis at various scales and abstractions into the planning process. The toolbox conducts physically based simulations to give the user feedback about the current state of flooding resilience within an urban fabric. It is possible to evaluate existing structures, ongoing developments as well as future plans. The toolbox is designed to handle structures in a building scale as well as entire neighborhood developments or cities. Urban designers can optimize the spatial layout according to flood resilience in an early phase of the planning process. In this way, the toolbox can help to minimize the risk of flooding and simultaneously reduces the cost arising from the implementation and maintenance of drainage infrastructure.\n
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\n \n\n \n \n \n \n \n Big Data Informed Urban Design and Governance.\n \n \n \n\n\n \n Konieva, K.; Steentoft, A.; Schrotter, G.; Koenig, R.; Schlaepfer, M.; Tuncer, B.; and Schmitt, G.\n\n\n \n\n\n\n In Future Cities Laboratory: Indicia 02, pages 99–110. Lars Müller Publishers, Singapore, 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{konieva_big_2019,\n\taddress = {Singapore},\n\ttitle = {Big {Data} {Informed} {Urban} {Design} and {Governance}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Future {Cities} {Laboratory}: {Indicia} 02},\n\tpublisher = {Lars Müller Publishers},\n\tauthor = {Konieva, Kateryna and Steentoft, Aike and Schrotter, Gerhard and Koenig, Reinhard and Schlaepfer, Markus and Tuncer, Bige and Schmitt, Gerhard},\n\tyear = {2019},\n\tpages = {99--110},\n}\n\n
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\n \n\n \n \n \n \n \n \n Examining Trade-Offs between Social , Psychological , and Energy Potential of Urban Form.\n \n \n \n \n\n\n \n Bielik, M.; Schneider, S.; Kuliga, S.; Griego, D.; Ojha, V.; Koenig, R.; Schmitt, G.; and Donath, D.\n\n\n \n\n\n\n International Journal of Geo-Information, 8(52): 1–31. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"ExaminingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{bielik_examining_2019,\n\ttitle = {Examining {Trade}-{Offs} between {Social} , {Psychological} , and {Energy} {Potential} of {Urban} {Form}},\n\tvolume = {8},\n\tcopyright = {All rights reserved},\n\turl = {https://doi.org/10.3390/ijgi8020052},\n\tdoi = {10.3390/ijgi8020052},\n\tabstract = {Urban planners are often challenged with the task of developing design solutions which must meet multiple, and often contradictory, criteria. In this paper, we investigated the trade-offs between social, psychological, and energy potential of the fundamental elements of urban form: the street network and the building massing. Since formal methods to evaluate urban form from the psychological and social point of view are not readily available, we developed a methodological framework to quantify these criteria as the first contribution in this paper. To evaluate the psychological potential, we conducted a three-tiered empirical study starting from real world environments and then abstracting them to virtual environments. In each context, the implicit (physiological) response and explicit (subjective) response of pedestrians were measured. To quantify the social potential, we developed a street network centrality-based measure of social accessibility. For the energy potential, we created an energy model to analyze the impact of pure geometric form on the energy demand of the building stock. The second contribution of this work is a method to identify distinct clusters of urban form and, for each, explore the trade-offs between the select design criteria. We applied this method to two case studies identifying nine types of urban form and their respective potential trade-offs, which are directly applicable for the assessment of strategic decisions regarding urban form during the early planning stages.},\n\tnumber = {52},\n\tjournal = {International Journal of Geo-Information},\n\tauthor = {Bielik, Martin and Schneider, Sven and Kuliga, Saskia and Griego, Danielle and Ojha, Varun and Koenig, Reinhard and Schmitt, Gerhard and Donath, Dirk},\n\tyear = {2019},\n\tkeywords = {accessibility, centrality, density, energy, psychology, social accessibility, trade-offs, urban form, urban perception, urban planning},\n\tpages = {1--31},\n}\n
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\n\n\n
\n Urban planners are often challenged with the task of developing design solutions which must meet multiple, and often contradictory, criteria. In this paper, we investigated the trade-offs between social, psychological, and energy potential of the fundamental elements of urban form: the street network and the building massing. Since formal methods to evaluate urban form from the psychological and social point of view are not readily available, we developed a methodological framework to quantify these criteria as the first contribution in this paper. To evaluate the psychological potential, we conducted a three-tiered empirical study starting from real world environments and then abstracting them to virtual environments. In each context, the implicit (physiological) response and explicit (subjective) response of pedestrians were measured. To quantify the social potential, we developed a street network centrality-based measure of social accessibility. For the energy potential, we created an energy model to analyze the impact of pure geometric form on the energy demand of the building stock. The second contribution of this work is a method to identify distinct clusters of urban form and, for each, explore the trade-offs between the select design criteria. We applied this method to two case studies identifying nine types of urban form and their respective potential trade-offs, which are directly applicable for the assessment of strategic decisions regarding urban form during the early planning stages.\n
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\n  \n 2018\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n Measuring the Impact of Street Network Configuration on the Accessibility to People and Walking Attractors.\n \n \n \n \n\n\n \n Bielik, M.; Koenig, R.; Schneider, S.; and Varoudis, T.\n\n\n \n\n\n\n Networks and Spatial Economics,1–20. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"MeasuringPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{bielik_measuring_2018,\n\ttitle = {Measuring the {Impact} of {Street} {Network} {Configuration} on the {Accessibility} to {People} and {Walking} {Attractors}},\n\tcopyright = {All rights reserved},\n\turl = {http://link.springer.com/10.1007/s11067-018-9426-x},\n\tdoi = {10.1007/s11067-018-9426-x},\n\tjournal = {Networks and Spatial Economics},\n\tauthor = {Bielik, M. and Koenig, R. and Schneider, S. and Varoudis, T.},\n\tyear = {2018},\n\tpages = {1--20},\n}\n\n
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\n \n\n \n \n \n \n \n \n ESUM Dataset.\n \n \n \n \n\n\n \n Bielik, M.; Ojha, V.; Griego, D.; Kuliga, S.; Schneider, S.; König, R.; Donath, D.; and Schmitt, G.\n\n\n \n\n\n\n . 2018.\n \n\n\n\n
\n\n\n\n \n \n \"ESUMPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@article{bielik_esum_2018,\n\ttitle = {{ESUM} {Dataset}},\n\tcopyright = {All rights reserved},\n\turl = {https://doi.org/10.5281/zenodo.1638667#.XABB6GYH9uA.mendeley},\n\tdoi = {10.5281/ZENODO.1638667},\n\tabstract = {Datasets related to the ESUM research project.},\n\tauthor = {Bielik, Martin and Ojha, Varun and Griego, Danielle and Kuliga, Saskia and Schneider, Sven and König, Reinhard and Donath, Dirk and Schmitt, Gerhard},\n\tyear = {2018},\n\tkeywords = {Psychological potential, Social potential},\n}\n\n
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\n Datasets related to the ESUM research project.\n
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\n \n\n \n \n \n \n \n \n Artificial Intelligence for a sustainable future urban development.\n \n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n Indian Architect & Builder, (November): 34–36. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"ArtificialPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{koenig_artificial_2018,\n\ttitle = {Artificial {Intelligence} for a sustainable future urban development},\n\tcopyright = {All rights reserved},\n\turl = {https://ebuild.in/november-2018-indian-architect-and-builder},\n\tnumber = {November},\n\tjournal = {Indian Architect \\& Builder},\n\tauthor = {Koenig, Reinhard},\n\tyear = {2018},\n\tpages = {34--36},\n}\n\n
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\n \n\n \n \n \n \n \n \n System Dynamics for Modeling Metabolism Mechanisms for Urban Planning.\n \n \n \n \n\n\n \n Koenig, R.; Bielik, M.; and Schneider, S.\n\n\n \n\n\n\n In Proceedings of SimAUD, pages 293–300, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"SystemPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{koenig_system_2018,\n\ttitle = {System {Dynamics} for {Modeling} {Metabolism} {Mechanisms} for {Urban} {Planning}},\n\tcopyright = {All rights reserved},\n\turl = {http://www.simaud.org/proceedings/},\n\tabstract = {Dynamic urban development simulation models are usually separate to urban planning tools making it difficult to test the consequences of urban planning variants directly without switching between expert tools. This paper presents an ap- proach to integrating system dynamics simulation at various scales and abstractions in the visual programming environ- ment Grasshopper for Rhino3D. We demonstrate how Grass- hopper may be used with additional customized components as a flexible integrated urban planning and simulation frame- work. For this purpose, we present three urban planning model examples: The first is a classical system dynamics simulation that abstracts from spatial elements. The second adds spatial relations in terms of distances between locations in a grid. The third shows how to represent a city in more details and adds a network analysis module for more precise distance calculations. As result, we demonstrate a highly flexible approach for integrating simulations for various as- pects that predict the behavior of an urban system in order to facilitate more sustainable urban planning processes. The main drawback of this new level of flexibility is the relatively slow},\n\tbooktitle = {Proceedings of {SimAUD}},\n\tauthor = {Koenig, Reinhard and Bielik, Martin and Schneider, Sven},\n\tyear = {2018},\n\tkeywords = {Grasshopper for Rhino, System dynamics, urban metabolism, urban modeling, urban planning, urban simulation},\n\tpages = {293--300},\n}\n\n
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\n Dynamic urban development simulation models are usually separate to urban planning tools making it difficult to test the consequences of urban planning variants directly without switching between expert tools. This paper presents an ap- proach to integrating system dynamics simulation at various scales and abstractions in the visual programming environ- ment Grasshopper for Rhino3D. We demonstrate how Grass- hopper may be used with additional customized components as a flexible integrated urban planning and simulation frame- work. For this purpose, we present three urban planning model examples: The first is a classical system dynamics simulation that abstracts from spatial elements. The second adds spatial relations in terms of distances between locations in a grid. The third shows how to represent a city in more details and adds a network analysis module for more precise distance calculations. As result, we demonstrate a highly flexible approach for integrating simulations for various as- pects that predict the behavior of an urban system in order to facilitate more sustainable urban planning processes. The main drawback of this new level of flexibility is the relatively slow\n
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\n \n\n \n \n \n \n \n \n The ‘Urban Elements’ method for teaching parametric urban design to professionals.\n \n \n \n \n\n\n \n von Richthofen, A.; Knecht, K.; Miao, Y.; and Koenig, R.\n\n\n \n\n\n\n Frontiers of Architectural Research,1–15. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{von_richthofen_urban_2018,\n\ttitle = {The ‘{Urban} {Elements}’ method for teaching parametric urban design to professionals},\n\tcopyright = {All rights reserved},\n\turl = {https://doi.org/10.1016/j.foar.2018.08.002},\n\tdoi = {10.1016/j.foar.2018.08.002},\n\tabstract = {The article proposes a method for teaching advanced urban design to working professionals in Singapore. The article aims to expand the discourse on parametric urban design education by introducing ‘Urban Elements’ as conceptual urban design instruments with an inherent rule-based logic, which can help to bridge gaps in teaching parametric urban design thinking. As case study we present a course developed for and delivered to the Urban Redevelopment Authority (URA) in Singapore in 2017 by the Future Cities Laboratory at the Singapore-ETH Centre. The article reports on the pedagogical method, course results and course feedback. The main difficulties of teaching professionals in parametric urban design are described and possible reasons and improvements are discussed. The results show that participants using the ‘Urban Elements’ method successfully linked theoretical input to urban design problems, applied evidence-based urban design strategies to these problems, and developed parametric definitions to explore the solution spaces of these urban design challenges. The teaching methodology presented opens up a new research field for urban design pedagogy at the intersection of explicating urban design intent, integrating multidisciplinary knowledge and exploring new software driven tools.},\n\tjournal = {Frontiers of Architectural Research},\n\tauthor = {von Richthofen, Aurel and Knecht, Katja and Miao, Yufan and Koenig, Reinhard},\n\tyear = {2018},\n\tkeywords = {Parametric urban design, Singapore, Urban Elements, Urban design education},\n\tpages = {1--15},\n}\n\n
\n
\n\n\n
\n The article proposes a method for teaching advanced urban design to working professionals in Singapore. The article aims to expand the discourse on parametric urban design education by introducing ‘Urban Elements’ as conceptual urban design instruments with an inherent rule-based logic, which can help to bridge gaps in teaching parametric urban design thinking. As case study we present a course developed for and delivered to the Urban Redevelopment Authority (URA) in Singapore in 2017 by the Future Cities Laboratory at the Singapore-ETH Centre. The article reports on the pedagogical method, course results and course feedback. The main difficulties of teaching professionals in parametric urban design are described and possible reasons and improvements are discussed. The results show that participants using the ‘Urban Elements’ method successfully linked theoretical input to urban design problems, applied evidence-based urban design strategies to these problems, and developed parametric definitions to explore the solution spaces of these urban design challenges. The teaching methodology presented opens up a new research field for urban design pedagogy at the intersection of explicating urban design intent, integrating multidisciplinary knowledge and exploring new software driven tools.\n
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\n \n\n \n \n \n \n \n \n Integrated Data Analysis for Parametric Design Environment - mineR: a Grasshopper plugin based on R.\n \n \n \n \n\n\n \n Abdulmawla, A.; Schneider, S.; Bielik, M.; and Koenig, R.\n\n\n \n\n\n\n In Kepczynska-Walczak, A; and Bialkowski, S, editor(s), Proceedings of the 36th eCAADe Conference - Computing for a better tomorrow, pages 319–326, 2018. Lodz University of Technology, Lodz, Poland\n \n\n\n\n
\n\n\n\n \n \n \"IntegratedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@inproceedings{abdulmawla_integrated_2018,\n\ttitle = {Integrated {Data} {Analysis} for {Parametric} {Design} {Environment} - {mineR}: a {Grasshopper} plugin based on {R}},\n\tcopyright = {All rights reserved},\n\turl = {http://papers.cumincad.org/cgi-bin/works/paper/ecaade2018_138},\n\tabstract = {In this paper we introduce mineR- a tool that integrates statistical data analysis inside the parametric design environment Grasshopper. We first discuss how the integration of statistical data analysis would improve the parametric modelling workflow. Then we present the statistical programming language R. Thereafter, we show how mineR is built to facilitate the use of R in the context of parametric modelling. Using two example cases, we demonstrate the potential of implementing mineR in the context of urban design and analysis. Finally, we discuss the results and possible further developments.},\n\tbooktitle = {Proceedings of the 36th {eCAADe} {Conference} - {Computing} for a better tomorrow},\n\tpublisher = {Lodz University of Technology, Lodz, Poland},\n\tauthor = {Abdulmawla, Abdulmalik and Schneider, Sven and Bielik, Martin and Koenig, Reinhard},\n\teditor = {Kepczynska-Walczak, A and Bialkowski, S},\n\tyear = {2018},\n\tkeywords = {Parametric Design, Statistical Data Analysis},\n\tpages = {319--326},\n}\n\n
\n
\n\n\n
\n In this paper we introduce mineR- a tool that integrates statistical data analysis inside the parametric design environment Grasshopper. We first discuss how the integration of statistical data analysis would improve the parametric modelling workflow. Then we present the statistical programming language R. Thereafter, we show how mineR is built to facilitate the use of R in the context of parametric modelling. Using two example cases, we demonstrate the potential of implementing mineR in the context of urban design and analysis. Finally, we discuss the results and possible further developments.\n
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\n \n\n \n \n \n \n \n \n Parametric assistance for complex urban planning processes: Three examples from Africa and South-East Asia.\n \n \n \n \n\n\n \n Konieva, K.; Knecht, K.; Osintseva, I.; Vesely, O.; and Koenig, R.\n\n\n \n\n\n\n In Architecture, Civil Engineering and Urbanization (ACEU) Conference, 2018. \n \n\n\n\n
\n\n\n\n \n \n \"ParametricPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n
@inproceedings{konieva_parametric_2018,\n\ttitle = {Parametric assistance for complex urban planning processes: {Three} examples from {Africa} and {South}-{East} {Asia}},\n\tcopyright = {All rights reserved},\n\turl = {http://ace-conference.org/},\n\tabstract = {This paper will discuss the process of development and application of procedural methods in urban planning and design. Despite a lot of progress being made at architectural scale to consider a planning area as an integrated system of infrastructure, constructions, uses, socio-economic indices and many more, there is a gap in approaching larger urban areas with a similar degree of coherence. Addressing this challenge, we were working on a framework that would facilitate communication and discussion during decision- making processes between various fields of expertise. Using a modular approach, we developed a design and analysis workflow for a city-scale project in Ethiopia, district-scale developments and neighborhood-scale interventions in Singapore. The number of examples shows the flexibility of the approach and its prospect for more effective transdisciplinary collaborations. The method applied has proved a high potential due to approaching several aspects simultaneously: the speed and, hence, number of variations considered can be increased drastically enlarging the design space with no significant time investments; a modular work flow breaks down the linear sequence of the design process and gives opportunity for changes at any stage without affecting all the decisions made afterwards; automatization of a larger part of decisions makes it possible to correct the direction of the initial strategy, as a simple draft with any level of detail is enough to generate the best possible solution on its basis. These case-studies have also shown that parametric interventions can be most effectively made in several phases of project development that},\n\tbooktitle = {Architecture, {Civil} {Engineering} and {Urbanization} ({ACEU}) {Conference}},\n\tauthor = {Konieva, Kateryna and Knecht, Katja and Osintseva, Iuliia and Vesely, Ondrej and Koenig, Reinhard},\n\tyear = {2018},\n\tkeywords = {modular design process, parametric design, urban design},\n}\n\n
\n
\n\n\n
\n This paper will discuss the process of development and application of procedural methods in urban planning and design. Despite a lot of progress being made at architectural scale to consider a planning area as an integrated system of infrastructure, constructions, uses, socio-economic indices and many more, there is a gap in approaching larger urban areas with a similar degree of coherence. Addressing this challenge, we were working on a framework that would facilitate communication and discussion during decision- making processes between various fields of expertise. Using a modular approach, we developed a design and analysis workflow for a city-scale project in Ethiopia, district-scale developments and neighborhood-scale interventions in Singapore. The number of examples shows the flexibility of the approach and its prospect for more effective transdisciplinary collaborations. The method applied has proved a high potential due to approaching several aspects simultaneously: the speed and, hence, number of variations considered can be increased drastically enlarging the design space with no significant time investments; a modular work flow breaks down the linear sequence of the design process and gives opportunity for changes at any stage without affecting all the decisions made afterwards; automatization of a larger part of decisions makes it possible to correct the direction of the initial strategy, as a simple draft with any level of detail is enough to generate the best possible solution on its basis. These case-studies have also shown that parametric interventions can be most effectively made in several phases of project development that\n
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\n \n\n \n \n \n \n \n \n Computational urban design prototyping: Interactive planning synthesis methods—a case study in Cape Town.\n \n \n \n \n\n\n \n Miao, Y.; Koenig, R.; Knecht, K.; Konieva, K.; Buš, P.; and Chang, M.\n\n\n \n\n\n\n International Journal of Architectural Computing, 16(3): 212–226. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"ComputationalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{miao_computational_2018,\n\ttitle = {Computational urban design prototyping: {Interactive} planning synthesis methods—a case study in {Cape} {Town}},\n\tvolume = {16},\n\tcopyright = {All rights reserved},\n\turl = {https://doi.org/10.1177/1478077118798395},\n\tdoi = {10.1177/1478077118798395},\n\tabstract = {This article is motivated by the fact that in Cape Town, South Africa, approximately 7.5 million people live in informal settlements and focuses on potential upgrading strategies for such sites. To this end, we developed a computational method for rapid urban design prototyping. The corresponding planning tool generates urban layouts including street network, blocks, parcels and buildings based on an urban designer’s specific requirements. It can be used to scale and replicate a developed urban planning concept to fit different sites. To facilitate the layout generation process computationally, we developed a new data structure to represent street networks, land parcellation, and the relationship between the two. We also introduced a nested parcellation strategy to reduce the number of irregular shapes generated due to algorithmic limitations. Network analysis methods are applied to control the distribution of buildings in the communities so that preferred neighborhood relationships can be considered in the design process. Finally, we demonstrate how to compare designs based on various urban analysis measures and discuss the limitations that arise when we apply our method in practice, especially when dealing with more complex urban design scenarios.},\n\tnumber = {3},\n\tjournal = {International Journal of Architectural Computing},\n\tauthor = {Miao, Yufan and Koenig, Reinhard and Knecht, Katja and Konieva, Kateryna and Buš, Peter and Chang, Mei-Chih},\n\tyear = {2018},\n\tkeywords = {generative design, procedural modeling, spatial synthesis, urban planning},\n\tpages = {212--226},\n}\n\n
\n
\n\n\n
\n This article is motivated by the fact that in Cape Town, South Africa, approximately 7.5 million people live in informal settlements and focuses on potential upgrading strategies for such sites. To this end, we developed a computational method for rapid urban design prototyping. The corresponding planning tool generates urban layouts including street network, blocks, parcels and buildings based on an urban designer’s specific requirements. It can be used to scale and replicate a developed urban planning concept to fit different sites. To facilitate the layout generation process computationally, we developed a new data structure to represent street networks, land parcellation, and the relationship between the two. We also introduced a nested parcellation strategy to reduce the number of irregular shapes generated due to algorithmic limitations. Network analysis methods are applied to control the distribution of buildings in the communities so that preferred neighborhood relationships can be considered in the design process. Finally, we demonstrate how to compare designs based on various urban analysis measures and discuss the limitations that arise when we apply our method in practice, especially when dealing with more complex urban design scenarios.\n
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\n \n\n \n \n \n \n \n \n Machine learning approaches to understand the influence of urban environments on human’s physiological response.\n \n \n \n \n\n\n \n Ojha, V. K.; Griego, D.; Kuliga, S.; Bielik, M.; Schaeben, C.; Treyer, L.; Standfest, M.; Schneider, S.; Koenig, R.; Donath, D.; and Schmitt, G.\n\n\n \n\n\n\n Information Sciences, 474: 154–169. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"MachinePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{ojha_machine_2018,\n\ttitle = {Machine learning approaches to understand the influence of urban environments on human’s physiological response},\n\tvolume = {474},\n\tcopyright = {All rights reserved},\n\turl = {https://doi.org/10.1016/j.ins.2018.09.061},\n\tdoi = {10.1016/j.ins.2018.09.061},\n\tjournal = {Information Sciences},\n\tauthor = {Ojha, Varun Kumar and Griego, Danielle and Kuliga, Saskia and Bielik, Martin and Schaeben, Charlotte and Treyer, Lukas and Standfest, Matthias and Schneider, Sven and Koenig, Reinhard and Donath, Dirk and Schmitt, Gerhard},\n\tyear = {2018},\n\tkeywords = {Data fusion, Features selection, Signal processing, W},\n\tpages = {154--169},\n}\n\n
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\n  \n 2017\n \n \n (10)\n \n \n
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\n \n\n \n \n \n \n \n \n ESUM Urban Sensing Handbook: Component, Assembly and Operational Guide: Sensor backpack & 360° Videos.\n \n \n \n \n\n\n \n Griego, D.; Kuliga, S.; Bielik, M.; Standfest, M.; Ojha, V. K.; Schneider, S.; Koenig, R.; Donath, D.; and Schmitt, G. C N - D. 1.\n\n\n \n\n\n\n Technical Report ETH Zurich, Chair of Information Architecture, Switzerland, 2017.\n \n\n\n\n
\n\n\n\n \n \n \"ESUMPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{griego_esum_2017,\n\taddress = {Switzerland},\n\ttitle = {{ESUM} {Urban} {Sensing} {Handbook}: {Component}, {Assembly} and {Operational} {Guide}: {Sensor} backpack \\& 360° {Videos}},\n\tcopyright = {All rights reserved},\n\turl = {http://esum.arch.ethz.ch/study#manuals},\n\tlanguage = {English},\n\tinstitution = {ETH Zurich, Chair of Information Architecture},\n\tauthor = {Griego, Danielle and Kuliga, Saskia and Bielik, Martin and Standfest, Matthias and Ojha, Varun Kumar and Schneider, Sven and Koenig, Reinhard and Donath, Dirk and Schmitt, Gerhard C N - DOI: 10.13140/RG.2.2.15179.90400},\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n \n Managing Urban Resilience: Stream Processing Platform for Responsive Cities.\n \n \n \n \n\n\n \n Klein, B.; Koenig, R.; and Schmitt, G.\n\n\n \n\n\n\n Informatik-Spektrum, 40(1): 35–45. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"ManagingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{klein_managing_2017,\n\ttitle = {Managing {Urban} {Resilience}: {Stream} {Processing} {Platform} for {Responsive} {Cities}},\n\tvolume = {40},\n\tcopyright = {All rights reserved},\n\turl = {https://link.springer.com/epdf/10.1007/s00287-016-1005-2?author_access_token=_C-NIsaZNBHEPgFXweqAjve4RwlQNchNByi7wbcMAY4USxybRocKnwNV7EN4OlYTJTcgUwvaJNbCVlyPBOBv_o8WfjEpwIIa_KfNOZi29gXZhYtRJuhlMscalaL1Cr27OwZ6amKwkTl3YurJK1f_VA%3D%3D},\n\tdoi = {10.1007/s00287-016-1005-2},\n\tabstract = {Good governance is necessary to make cities resilient and sustainable. To achieve this, we propose the Responsive City, in which citizens, enabled by technology, take on an active role in urban planning processes. Adequate planning of Responsive Cities requires a change and evolvement of the role of policy-makers, government experts, urban planners, and architects. A key factor is hereby the understanding of urban dynamics. In this paper we present a method to model the dynamics of the city from the viewpoint of the urban metabolism as a system of stocks and flows. Understanding these flows helps to identify the main characteristics of the city and advances the knowledge of relationships between different stocks and flows in the system. Big Data can inform and support this process with evidence by taking advantage of behavioural data from infrastructure sensors and crowdsourcing initiatives. They can be overlaid with spatial information in order to respond to events in decreasing time spans by automating the response process partially, which is a necessity for any resilient city management.},\n\tnumber = {1},\n\tjournal = {Informatik-Spektrum},\n\tauthor = {Klein, Bernhard and Koenig, Reinhard and Schmitt, Gerhard},\n\tyear = {2017},\n\tpages = {35--45},\n}\n\n
\n
\n\n\n
\n Good governance is necessary to make cities resilient and sustainable. To achieve this, we propose the Responsive City, in which citizens, enabled by technology, take on an active role in urban planning processes. Adequate planning of Responsive Cities requires a change and evolvement of the role of policy-makers, government experts, urban planners, and architects. A key factor is hereby the understanding of urban dynamics. In this paper we present a method to model the dynamics of the city from the viewpoint of the urban metabolism as a system of stocks and flows. Understanding these flows helps to identify the main characteristics of the city and advances the knowledge of relationships between different stocks and flows in the system. Big Data can inform and support this process with evidence by taking advantage of behavioural data from infrastructure sensors and crowdsourcing initiatives. They can be overlaid with spatial information in order to respond to events in decreasing time spans by automating the response process partially, which is a necessity for any resilient city management.\n
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\n \n\n \n \n \n \n \n \n Towards a modular design strategy for urban masterplanning - Experiences from a parametric urban design studio on emerging cities in Ethiopia.\n \n \n \n \n\n\n \n Dennemark, M.; Schneider, S.; Koenig, R.; Abdulmawla, A.; and Donath, D.\n\n\n \n\n\n\n In 35th eCAADe Conference, volume 1, pages 485–494, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{dennemark_towards_2017,\n\ttitle = {Towards a modular design strategy for urban masterplanning - {Experiences} from a parametric urban design studio on emerging cities in {Ethiopia}},\n\tvolume = {1},\n\tcopyright = {All rights reserved},\n\turl = {http://papers.cumincad.org/cgi-bin/works/Show?_id=ecaade2017_048},\n\tabstract = {In emerging countries there is a need for rapid urban planning, since they are confronted by unprecedented wave of urbanization. This need is even bigger since usually there is no adequate number of professional educated urban planners in these countries. Therefore, we investigate in this paper how to develop a set of methods that allow to generate urban fabric semi-automatically. The challenge is to come up with a generative planning model that adapts to multiple boundary conditions.Through a modular design strategy generative methods are applied by students in an urban design studio in order to combine them into more complex planning strategies for small cities in the emerging country of Ethiopia. The modular approach allows to break down planning into sub-issues to better deal with the overarching problem. For testing the implemented generative urban design strategies various cities are generated at different locations in Ethiopia with various topographic situations. Their underlying design strategies and modular approach are discussed in this paper.},\n\tbooktitle = {35th {eCAADe} {Conference}},\n\tauthor = {Dennemark, Martin and Schneider, Sven and Koenig, Reinhard and Abdulmawla, Abdulmalik and Donath, Dirk},\n\tyear = {2017},\n\tkeywords = {CoDeC},\n\tpages = {485--494},\n}\n\n
\n
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\n In emerging countries there is a need for rapid urban planning, since they are confronted by unprecedented wave of urbanization. This need is even bigger since usually there is no adequate number of professional educated urban planners in these countries. Therefore, we investigate in this paper how to develop a set of methods that allow to generate urban fabric semi-automatically. The challenge is to come up with a generative planning model that adapts to multiple boundary conditions.Through a modular design strategy generative methods are applied by students in an urban design studio in order to combine them into more complex planning strategies for small cities in the emerging country of Ethiopia. The modular approach allows to break down planning into sub-issues to better deal with the overarching problem. For testing the implemented generative urban design strategies various cities are generated at different locations in Ethiopia with various topographic situations. Their underlying design strategies and modular approach are discussed in this paper.\n
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\n \n\n \n \n \n \n \n Cognitive Computing for Urban Design.\n \n \n \n\n\n \n Koenig, R.; Schmitt, G.; and Standfest, M.\n\n\n \n\n\n\n In Yamu, C.; Poplin, A.; Devisch, O.; and De Roo, G., editor(s), The Virtual and the Real in Planning and Urban Design: Perspectives, Practices and Applications. Routledge, 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{koenig_cognitive_2017,\n\ttitle = {Cognitive {Computing} for {Urban} {Design}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-138-28348-0},\n\tbooktitle = {The {Virtual} and the {Real} in {Planning} and {Urban} {Design}: {Perspectives}, {Practices} and {Applications}},\n\tpublisher = {Routledge},\n\tauthor = {Koenig, Reinhard and Schmitt, Gerhard and Standfest, Matthias},\n\teditor = {Yamu, Claudia and Poplin, Alenka and Devisch, Oswald and De Roo, Gert},\n\tyear = {2017},\n}\n\n
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\n \n\n \n \n \n \n \n From Real to Virtual and Back: A multi-method approach for investigating the impact of urban morphology on human spatial experiences.\n \n \n \n\n\n \n Kuliga, S.; Standfest, M.; Bielik, M.; Schneider, S.; Koenig, R.; Donath, D.; and Schmitt, G.\n\n\n \n\n\n\n In Yamu, C.; Poplin, A.; Devisch, O.; and Roo, G. D., editor(s), The Virtual and the Real in Planning and Urban Design: Perspectives, Practices and Applications. Routledge, 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@incollection{kuliga_real_2017,\n\ttitle = {From {Real} to {Virtual} and {Back}: {A} multi-method approach for investigating the impact of urban morphology on human spatial experiences},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-138-28348-0},\n\tabstract = {Designing pleasant, sustainable cities is a long-term goal of urban design researchers and practitioners alike. Since changes to existing streets and buildings are hard to implement once constructed, evaluations are iteratively needed in the early design stages. However, urban designers may find it challenging to anticipate how future inhabitants perceive and experience built space, since real-world urban environments contain many naturally occurring environmental variables that simultaneously and dynamically impact human cognition, behaviour and emotion. The aim of this chapter is to explore how real and virtual methodologies could be iteratively combined to inform a predictive model for urban perception that could support urban designers in their design decisions. We propose an iterative research workflow that starts by identifying relevant environmental variables from the real world as a basis for informing hypotheses for controlled laboratory testing in a virtual setting. In this context, we point out the challenges and strengths that research in real and virtual environments brings to the field of urban design research. The chapter presents insight from the research lab and outlines the next steps of our work. We end with a general conclusion that interdisciplinary research using multiple methodologies, perspectives and paradigms can help to untangle the components of urban perception and environmental complexity.},\n\tbooktitle = {The {Virtual} and the {Real} in {Planning} and {Urban} {Design}: {Perspectives}, {Practices} and {Applications}},\n\tpublisher = {Routledge},\n\tauthor = {Kuliga, Saskia and Standfest, Matthias and Bielik, Martin and Schneider, Sven and Koenig, Reinhard and Donath, Dirk and Schmitt, Gerhard},\n\teditor = {Yamu, Claudia and Poplin, Alenka and Devisch, Oswald and Roo, Gert De},\n\tyear = {2017},\n\tkeywords = {CoDeC},\n}\n\n
\n
\n\n\n
\n Designing pleasant, sustainable cities is a long-term goal of urban design researchers and practitioners alike. Since changes to existing streets and buildings are hard to implement once constructed, evaluations are iteratively needed in the early design stages. However, urban designers may find it challenging to anticipate how future inhabitants perceive and experience built space, since real-world urban environments contain many naturally occurring environmental variables that simultaneously and dynamically impact human cognition, behaviour and emotion. The aim of this chapter is to explore how real and virtual methodologies could be iteratively combined to inform a predictive model for urban perception that could support urban designers in their design decisions. We propose an iterative research workflow that starts by identifying relevant environmental variables from the real world as a basis for informing hypotheses for controlled laboratory testing in a virtual setting. In this context, we point out the challenges and strengths that research in real and virtual environments brings to the field of urban design research. The chapter presents insight from the research lab and outlines the next steps of our work. We end with a general conclusion that interdisciplinary research using multiple methodologies, perspectives and paradigms can help to untangle the components of urban perception and environmental complexity.\n
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\n \n\n \n \n \n \n \n Empowering urban design prototyping.\n \n \n \n\n\n \n Miao, Y.; Koenig, R.; Buš, P.; Chang, M.; Chirkin, A.; and Treyer, L.\n\n\n \n\n\n\n In CAADRIA 2017 - 22nd International Conference on Computer-Aided Architectural Design Research in Asia: Protocols, Flows and Glitches, 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{miao_empowering_2017,\n\ttitle = {Empowering urban design prototyping},\n\tcopyright = {All rights reserved},\n\tisbn = {978-988-19026-8-9},\n\tabstract = {© 2017, The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong. Although Cape Town city in South Africa is generally regarded as the most stable and prosperous city in the region, there are still approximately 7.5 million people living in informal settlements and about 2.5 million housing units are needed. This motivates the so-called Empower Shack project, aiming to develop upgrading strategies for these informal settlements. To facilitate the fulfillment of this project, urban design prototyping tools are researched and developed with the capabilities for fast urban design synthesis. In this paper we present a computational method for fast interactive synthesis of urban planning prototypes. For the generation of mock-up urban layouts, one hierarchical slicing structure, namely, the slicing tree is introduced to abstractly represent the parcels, as an extension of the existing generative method for street network. It has been proved that our methods can interactively assist the urban planning process in practice. However, the slicing tree data structure has several limitations that hinder the further improvement of the generated urban layouts. In the future, the development of a new data structure is required to fulfill urban synthesis for urban layout generation with Evolutionary Multi-objective Optimization methods and evaluation strategies should be developed to verify the generated results.},\n\tbooktitle = {{CAADRIA} 2017 - 22nd {International} {Conference} on {Computer}-{Aided} {Architectural} {Design} {Research} in {Asia}: {Protocols}, {Flows} and {Glitches}},\n\tauthor = {Miao, Y. and Koenig, R. and Buš, P. and Chang, M.-C. and Chirkin, A. and Treyer, L.},\n\tyear = {2017},\n}\n\n
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\n © 2017, The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong. Although Cape Town city in South Africa is generally regarded as the most stable and prosperous city in the region, there are still approximately 7.5 million people living in informal settlements and about 2.5 million housing units are needed. This motivates the so-called Empower Shack project, aiming to develop upgrading strategies for these informal settlements. To facilitate the fulfillment of this project, urban design prototyping tools are researched and developed with the capabilities for fast urban design synthesis. In this paper we present a computational method for fast interactive synthesis of urban planning prototypes. For the generation of mock-up urban layouts, one hierarchical slicing structure, namely, the slicing tree is introduced to abstractly represent the parcels, as an extension of the existing generative method for street network. It has been proved that our methods can interactively assist the urban planning process in practice. However, the slicing tree data structure has several limitations that hinder the further improvement of the generated urban layouts. In the future, the development of a new data structure is required to fulfill urban synthesis for urban layout generation with Evolutionary Multi-objective Optimization methods and evaluation strategies should be developed to verify the generated results.\n
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\n \n\n \n \n \n \n \n \n Empowering urban design prototyping: a case study in Cape Town with interactive computational synthesis methods.\n \n \n \n \n\n\n \n Miao, Y.; Koenig, R.; Bus, P.; Chang, M.; Chirkin, A.; and Treyer, L.\n\n\n \n\n\n\n In Janssen, P.; Loh, P.; Atomic, A.; and Schnabel, M. A., editor(s), Protocols, Flows and Glitches, Proceedings of the 22nd International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), pages 407–416, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"EmpoweringPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{miao_empowering_2017-1,\n\ttitle = {Empowering urban design prototyping: a case study in {Cape} {Town} with interactive computational synthesis methods},\n\tcopyright = {All rights reserved},\n\turl = {http://papers.cumincad.org/data/works/att/caadria2017_058.pdf},\n\tabstract = {Although Cape Town city in South Africa is generally regarded as the most stable and prosperous city in the region, there are still approximately 7.5 million people living in informal settlements and about 2.5 million housing units are needed. This motivates the so-called Empower Shack project, aiming to develop upgrading strategies for these informal settlements. To facilitate the fulfillment of this project, urban design prototyping tools are researched and developed with the capabilities for fast urban design synthesis. In this paper we present a computational method for fast interactive synthesis of urban planning prototypes. For the generation of mock-up urban layouts, one hierarchical slicing structure, namely, the slicing tree is introduced to abstractly represent the parcels, as an extension of the existing generative method for street network. It has been proved that our methods can interactively assist the urban planning process in practice. However, the slicing tree data structure has several limitations that hinder the further improvement of the generated urban layouts. In the future, the development of a new data structure is required to fulfill urban synthesis for urban lay- out generation with Evolutionary Multi-objective Optimization methods and evaluation strategies should be developed to verify the generated results.},\n\tbooktitle = {Protocols, {Flows} and {Glitches}, {Proceedings} of the 22nd {International} {Conference} of the {Association} for {Computer}-{Aided} {Architectural} {Design} {Research} in {Asia} ({CAADRIA})},\n\tauthor = {Miao, Yufan and Koenig, Reinhard and Bus, Peter and Chang, Mei-Chih and Chirkin, Artem and Treyer, Lukas},\n\teditor = {Janssen, P. and Loh, P. and Atomic, A. and Schnabel, M. A.},\n\tyear = {2017},\n\tpages = {407--416},\n}\n\n
\n
\n\n\n
\n Although Cape Town city in South Africa is generally regarded as the most stable and prosperous city in the region, there are still approximately 7.5 million people living in informal settlements and about 2.5 million housing units are needed. This motivates the so-called Empower Shack project, aiming to develop upgrading strategies for these informal settlements. To facilitate the fulfillment of this project, urban design prototyping tools are researched and developed with the capabilities for fast urban design synthesis. In this paper we present a computational method for fast interactive synthesis of urban planning prototypes. For the generation of mock-up urban layouts, one hierarchical slicing structure, namely, the slicing tree is introduced to abstractly represent the parcels, as an extension of the existing generative method for street network. It has been proved that our methods can interactively assist the urban planning process in practice. However, the slicing tree data structure has several limitations that hinder the further improvement of the generated urban layouts. In the future, the development of a new data structure is required to fulfill urban synthesis for urban lay- out generation with Evolutionary Multi-objective Optimization methods and evaluation strategies should be developed to verify the generated results.\n
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\n \n\n \n \n \n \n \n \n A web-based prototype survey method exemplarily applied on activity allocations in apartment floor plans and their spatial properties.\n \n \n \n \n\n\n \n Triemer, M.; Schneider, S.; Kuliga, S.; Koenig, R.; and Donath, D.\n\n\n \n\n\n\n In Proceedings of the 11th Space Syntax Symposium, pages 1–19, 2017. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{triemer_web-based_2017,\n\ttitle = {A web-based prototype survey method exemplarily applied on activity allocations in apartment floor plans and their spatial properties},\n\tcopyright = {All rights reserved},\n\turl = {http://www.11ssslisbon.pt/docs/proceedings/papers/29.pdf},\n\tabstract = {Floor plan retrieval for supporting design by suppliance of reference objects requires comparable information in understandable categories. Spatial properties of floor plans are objectively comparable, but hard to relate to subjectively perceived verbal demands toward a searched-for spatial configuration in a digital reference repository. In this paper, we will sketch a comprehensive methodological approach on filling this gap by presenting a prototype framework, which combines databases, responsive web interfaces, analysis measures and aggregation methods of all kinds, in order to conduct online surveys about icon allocations in floor plans. Participants allocate these icons, which are adjustable to any examined verbally stated meaning in floor plans. We aim at supporting previous studies like, e.g., Güney (2007), Hanson (1999), Seo (2004) and Monteiro (1997), by using a floor plan database that contains information about multiple local (e.g. ‘daylight factor’, ‘isovist properties’, ‘visibility graph’, ‘exterior view’) and relational (‘euclidian distance’, ‘walking distance’, ‘visual step depth’) spatial properties grid cell-wise for the usable interior area of floor plans. We developed this prototype framework in order to gain knowledge about (1) the behaviour, while participants operate on allocating icons in floor plans using the framework, (2) approaches towards the exploration of relationships between the assumed allocations and their spatial properties and (3) the method itself regarding its applicability and enhancements for future studies. As a use case, we exemplarily study how people allocate activities (‘Cooking’, ‘Eating’, ‘Hygiene’, ‘Leisure’, ‘Sleeping’, ‘Working’) in single-floored apartment units and whether certain patterns can be detected, in order to show potential for the database application framework that we seek to develop. We asked 154 participants online to allocate expected user activities (represented by icons) in floor plan drawings of apartments (without furniture) via drag and drop, in order to determine afterwards, by which degree which kinds of spatial configurations meet the participants’ expectations towards the cultural code transported by the icon. Participants were advised to mark exactly the location where in their opinion the user would be situated ‘best’ while acting on an activity. Each participant saw three floor plans that were a priori categorized as (1) closed structured, (2) open structured, and (3) not supplying a separated space for each activity. In addition to the final allocations of the activity placements, the drag events done on the icons were stored and analysed. We concluded that the framework meets the expectations well, yet enhancements can be identified. The gathered data reflects on the expectations towards its characteristics well; and thus there is strong potential in implementing ‘fuzzy’ matching algorithms based on comparable studies in anticipation of the future environment of a case- based reasoning approach. Our long term objective is to fill a floor plan database containing geometries and analysis measures of floor plans, in order to supply a reference repository with ‘fuzzy’ retrieval approaches based on participants’ input data regarding allocations. Additional use cases can be found for design automatisation, support and decision making.},\n\tbooktitle = {Proceedings of the 11th {Space} {Syntax} {Symposium}},\n\tauthor = {Triemer, Michel and Schneider, Sven and Kuliga, Saskia and Koenig, Reinhard and Donath, Dirk},\n\tyear = {2017},\n\tkeywords = {Activity Patterns, Floor Plan Retrieval, Online Research Tool, Space Usage, Spatial Properties},\n\tpages = {1--19},\n}\n\n
\n
\n\n\n
\n Floor plan retrieval for supporting design by suppliance of reference objects requires comparable information in understandable categories. Spatial properties of floor plans are objectively comparable, but hard to relate to subjectively perceived verbal demands toward a searched-for spatial configuration in a digital reference repository. In this paper, we will sketch a comprehensive methodological approach on filling this gap by presenting a prototype framework, which combines databases, responsive web interfaces, analysis measures and aggregation methods of all kinds, in order to conduct online surveys about icon allocations in floor plans. Participants allocate these icons, which are adjustable to any examined verbally stated meaning in floor plans. We aim at supporting previous studies like, e.g., Güney (2007), Hanson (1999), Seo (2004) and Monteiro (1997), by using a floor plan database that contains information about multiple local (e.g. ‘daylight factor’, ‘isovist properties’, ‘visibility graph’, ‘exterior view’) and relational (‘euclidian distance’, ‘walking distance’, ‘visual step depth’) spatial properties grid cell-wise for the usable interior area of floor plans. We developed this prototype framework in order to gain knowledge about (1) the behaviour, while participants operate on allocating icons in floor plans using the framework, (2) approaches towards the exploration of relationships between the assumed allocations and their spatial properties and (3) the method itself regarding its applicability and enhancements for future studies. As a use case, we exemplarily study how people allocate activities (‘Cooking’, ‘Eating’, ‘Hygiene’, ‘Leisure’, ‘Sleeping’, ‘Working’) in single-floored apartment units and whether certain patterns can be detected, in order to show potential for the database application framework that we seek to develop. We asked 154 participants online to allocate expected user activities (represented by icons) in floor plan drawings of apartments (without furniture) via drag and drop, in order to determine afterwards, by which degree which kinds of spatial configurations meet the participants’ expectations towards the cultural code transported by the icon. Participants were advised to mark exactly the location where in their opinion the user would be situated ‘best’ while acting on an activity. Each participant saw three floor plans that were a priori categorized as (1) closed structured, (2) open structured, and (3) not supplying a separated space for each activity. In addition to the final allocations of the activity placements, the drag events done on the icons were stored and analysed. We concluded that the framework meets the expectations well, yet enhancements can be identified. The gathered data reflects on the expectations towards its characteristics well; and thus there is strong potential in implementing ‘fuzzy’ matching algorithms based on comparable studies in anticipation of the future environment of a case- based reasoning approach. Our long term objective is to fill a floor plan database containing geometries and analysis measures of floor plans, in order to supply a reference repository with ‘fuzzy’ retrieval approaches based on participants’ input data regarding allocations. Additional use cases can be found for design automatisation, support and decision making.\n
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\n \n\n \n \n \n \n \n \n Interactive Urban Synthesis Computational: Computational Methods for Fast Prototyping of Urban Design Proposals.\n \n \n \n \n\n\n \n Koenig, R.; Miao, Y.; Knecht, K.; Buš, P.; and Mei-chih, C.\n\n\n \n\n\n\n In Çağdaş, G.; Özkar, M.; Gül, L. F.; and Gürer, E., editor(s), Computer-Aided Architectural Design. Future Trajectories, volume 724, pages 23–41. Springer, Singapore, CCIS 724 edition, 2017.\n \n\n\n\n
\n\n\n\n \n \n \"InteractivePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@incollection{koenig_interactive_2017,\n\taddress = {Singapore},\n\tedition = {CCIS 724},\n\ttitle = {Interactive {Urban} {Synthesis} {Computational}: {Computational} {Methods} for {Fast} {Prototyping} of {Urban} {Design} {Proposals}},\n\tvolume = {724},\n\tcopyright = {All rights reserved},\n\tisbn = {978-981-10-5196-8},\n\turl = {http://link.springer.com/10.1007/978-981-10-5197-5},\n\tabstract = {In this paper, we present a method for generating fast conceptual urban design prototypes. We synthesize spatial configurations for street net- works, parcels and building volumes. Therefore, we address the problem of implementing custom data structures for these configurations and how the generation process can be controlled and parameterized. We exemplify our method by the development of new components for Grasshopper/Rhino3D and their application in the scope of selected case studies. By means of these components, we show use case applications of the synthesis algorithms. In the conclusion, we reflect on the advantages of being able to generate fast urban design prototypes, but we also discuss the disadvantages of the concept and the usage of Grasshopper as a user interface.},\n\tbooktitle = {Computer-{Aided} {Architectural} {Design}. {Future} {Trajectories}},\n\tpublisher = {Springer},\n\tauthor = {Koenig, Reinhard and Miao, Yufan and Knecht, Katja and Buš, Peter and Mei-chih, Chang},\n\teditor = {Çağdaş, Gülen and Özkar, Mine and Gül, Leman Figen and Gürer, Ethem},\n\tyear = {2017},\n\tdoi = {10.1007/978-981-10-5197-5},\n\tkeywords = {Artificial intelligence in design, Cognitive design computing, Generative design, Grasshopper plugin, Procedural grammars, Urban synthesis},\n\tpages = {23--41},\n}\n\n
\n
\n\n\n
\n In this paper, we present a method for generating fast conceptual urban design prototypes. We synthesize spatial configurations for street net- works, parcels and building volumes. Therefore, we address the problem of implementing custom data structures for these configurations and how the generation process can be controlled and parameterized. We exemplify our method by the development of new components for Grasshopper/Rhino3D and their application in the scope of selected case studies. By means of these components, we show use case applications of the synthesis algorithms. In the conclusion, we reflect on the advantages of being able to generate fast urban design prototypes, but we also discuss the disadvantages of the concept and the usage of Grasshopper as a user interface.\n
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\n \n\n \n \n \n \n \n City Afforestation : Abstracting the Urban Geometries into Tree Structures for Urban Fabric Optimization.\n \n \n \n\n\n \n Miao, Y.; Koenig, R.; and Knecht, K.\n\n\n \n\n\n\n In CUPUM: 15th International Conference on Computers in Urban Planning and Urban Management, 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{miao_city_2017,\n\ttitle = {City {Afforestation} : {Abstracting} the {Urban} {Geometries} into {Tree} {Structures} for {Urban} {Fabric} {Optimization}},\n\tcopyright = {All rights reserved},\n\tabstract = {Traditional urban design methods, still relying on the static and sectoral approaches, reach their limits to adapt themselves to the growing complexities and dynamics of modern cities. With the flourishing of artificial intelligence, a new approach called “cognitive design computing” has been proposed to utilize both the human creativity and computing power for the development of next generation urban design supporting tools, where Evolutionary Multi-objective Optimization (EMO) is employed for urban synthesis. However, a unified data structure is missing for the genotype representation of different urban features, such as streets, blocks, plots and buildings, so that they can be optimized together. This paper aims to address this problem and is focused on i) the introduction and description of the genotype data structure, and ii) the application of the prototype of the proposed design tool in practice.},\n\tbooktitle = {{CUPUM}: 15th {International} {Conference} on {Computers} in {Urban} {Planning} and {Urban} {Management}},\n\tauthor = {Miao, Yufan and Koenig, Reinhard and Knecht, Katja},\n\tyear = {2017},\n}\n\n
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\n Traditional urban design methods, still relying on the static and sectoral approaches, reach their limits to adapt themselves to the growing complexities and dynamics of modern cities. With the flourishing of artificial intelligence, a new approach called “cognitive design computing” has been proposed to utilize both the human creativity and computing power for the development of next generation urban design supporting tools, where Evolutionary Multi-objective Optimization (EMO) is employed for urban synthesis. However, a unified data structure is missing for the genotype representation of different urban features, such as streets, blocks, plots and buildings, so that they can be optimized together. This paper aims to address this problem and is focused on i) the introduction and description of the genotype data structure, and ii) the application of the prototype of the proposed design tool in practice.\n
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\n  \n 2016\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n Measuring the homogeneity of urban fabric using 2D geometry data.\n \n \n \n \n\n\n \n Hijazi, I.; Li, X.; Koenig, R.; Schmit, G.; El Meouche, R.; Lv, Z.; and Abunemeh, M.\n\n\n \n\n\n\n Environment and Planning B: Planning and Design,1–25. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"MeasuringPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{hijazi_measuring_2016,\n\ttitle = {Measuring the homogeneity of urban fabric using {2D} geometry data},\n\tcopyright = {All rights reserved},\n\turl = {http://epb.sagepub.com/lookup/doi/10.1177/0265813516659070},\n\tdoi = {10.1177/0265813516659070},\n\tjournal = {Environment and Planning B: Planning and Design},\n\tauthor = {Hijazi, I. and Li, X. and Koenig, R. and Schmit, G. and El Meouche, R. and Lv, Z. and Abunemeh, M.},\n\tyear = {2016},\n\tpages = {1--25},\n}\n\n
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\n \n\n \n \n \n \n \n \n Concept of Interactive Machine Learning in Urban Design Problems.\n \n \n \n \n\n\n \n Chirkin, A. M.; and Koenig, R.\n\n\n \n\n\n\n In CHI'16 Conference on Human Factors in Computing Systems, pages 10–13, 2016. ACM New York, NY, USA\n \n\n\n\n
\n\n\n\n \n \n \"ConceptPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{chirkin_concept_2016,\n\ttitle = {Concept of {Interactive} {Machine} {Learning} in {Urban} {Design} {Problems}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-4194-3},\n\turl = {http://dl.acm.org/citation.cfm?id=2898365},\n\tdoi = {10.1145/2898365.2899795},\n\tabstract = {This work presents a concept of interactive machine learn- ing in a human design process. An urban design problem is viewed as a multiple-criteria optimization problem. The out- lined feature of an urban design problem is the dependence of a design goal on a context of the problem. We model the design goal as a randomized fitness measure that de- pends on the context. In terms of multiple-criteria decision analysis (MCDA), the defined measure corresponds to a subjective expected utility of a user. In the first stage of the proposed approach we let the algo- rithm explore a design space using clustering techniques. The second stage is an interactive design loop; the user makes a proposal, then the program optimizes it, gets the user’s feedback and returns back the control over the appli- cation interface.},\n\tbooktitle = {{CHI}'16 {Conference} on {Human} {Factors} in {Computing} {Systems}},\n\tpublisher = {ACM New York, NY, USA},\n\tauthor = {Chirkin, Artem M. and Koenig, Reinhard},\n\tyear = {2016},\n\tkeywords = {MCDM, interactive machine learning, multiple-criteria optimization, urban design},\n\tpages = {10--13},\n}\n\n
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\n This work presents a concept of interactive machine learn- ing in a human design process. An urban design problem is viewed as a multiple-criteria optimization problem. The out- lined feature of an urban design problem is the dependence of a design goal on a context of the problem. We model the design goal as a randomized fitness measure that de- pends on the context. In terms of multiple-criteria decision analysis (MCDA), the defined measure corresponds to a subjective expected utility of a user. In the first stage of the proposed approach we let the algo- rithm explore a design space using clustering techniques. The second stage is an interactive design loop; the user makes a proposal, then the program optimizes it, gets the user’s feedback and returns back the control over the appli- cation interface.\n
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\n \n\n \n \n \n \n \n Geostatistical Analysis for the Study of Relationships between the Emotional Responses of Urban Walkers to Urban Spaces.\n \n \n \n\n\n \n Hijazi, I. H.; Koenig, R.; Schneider, S.; Li, X.; Bielik, M.; Schmitt, G. N. J.; and Donath, D.\n\n\n \n\n\n\n International Journal of E-Planning Research, 5(1): 1–19. 2016.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{hijazi_geostatistical_2016,\n\ttitle = {Geostatistical {Analysis} for the {Study} of {Relationships} between the {Emotional} {Responses} of {Urban} {Walkers} to {Urban} {Spaces}},\n\tvolume = {5},\n\tcopyright = {All rights reserved},\n\tdoi = {10.4018/IJEPR.2016010101},\n\tabstract = {The described study aims to find correlations between urban spatial configurations and human emotions. To this end, the authors measured people’s emotions while they walk along a path in an urban area using an instrument that measures skin conductance and skin temperature. The corresponding locations of the test persons were measured recorded by using a GPS-tracker (n=13). The results are interpreted and categorized as measures for positive and negative emotional arousal. To evaluate the technical and methodological process. The test results offer initial evidence that certain spaces or spatial sequences do cause positive or negative emotional arousal while others are relatively neutral. To achieve the goal of the study, the outcome was used as a basis for the study of testing correlations between people’s emotional responses and urban spatial configurations represented by Isovist properties of the urban form. By using their model the authors can explain negative emotional arousal for certain places, but they couldn’t find a model to predict emotional responses for individual spatial configurations.},\n\tnumber = {1},\n\tjournal = {International Journal of E-Planning Research},\n\tauthor = {Hijazi, Ihab Hamzi and Koenig, Reinhard and Schneider, Sven and Li, Xin and Bielik, Martin and Schmitt, Gerhard Norbert Johannes and Donath, Dirk},\n\tyear = {2016},\n\tkeywords = {ESUM, Emotion, GIS, GPS, Geo-Statistical Analysis, Isovist, Point Pattern Analysis, Regression Analysis, Space Syntax, Theory, Urban Design},\n\tpages = {1--19},\n}\n\n
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\n The described study aims to find correlations between urban spatial configurations and human emotions. To this end, the authors measured people’s emotions while they walk along a path in an urban area using an instrument that measures skin conductance and skin temperature. The corresponding locations of the test persons were measured recorded by using a GPS-tracker (n=13). The results are interpreted and categorized as measures for positive and negative emotional arousal. To evaluate the technical and methodological process. The test results offer initial evidence that certain spaces or spatial sequences do cause positive or negative emotional arousal while others are relatively neutral. To achieve the goal of the study, the outcome was used as a basis for the study of testing correlations between people’s emotional responses and urban spatial configurations represented by Isovist properties of the urban form. By using their model the authors can explain negative emotional arousal for certain places, but they couldn’t find a model to predict emotional responses for individual spatial configurations.\n
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\n \n\n \n \n \n \n \n \n Computational Urban Planning: Using the Value Lab as Control Center.\n \n \n \n \n\n\n \n Koenig, R.; and Klein, B.\n\n\n \n\n\n\n FCL Magazine, (Special Issue Simulation Platform): 38–45. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"ComputationalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{koenig_computational_2016,\n\ttitle = {Computational {Urban} {Planning}: {Using} the {Value} {Lab} as {Control} {Center}},\n\tcopyright = {All rights reserved},\n\turl = {http://www.fcl.ethz.ch/fcl-magazine/fcl-magazine-special-issue/},\n\tabstract = {Urban planning involves many aspects and various disciplines, demanding an asynchronous planning approach. The level of complexity rises with each aspect to be considered and makes it difficult to find universally satisfactory solutions. To improve this situation we propose a new approach, which complement traditional design methods with a computational urban plan- ning method that can fulfil formalizable design requirements automatically. Based on this approach we present a design space exploration framework for complex urban planning projects. For a better understanding of the idea of design space exploration, we introduce the concept of a digital scout which guides planners through the design space and assists them in their creative explorations. The scout can support planners during manual design by informing them about potential im- pacts or by suggesting different solutions that fulfill predefined quality requirements. The planner can change flexibly between a manually controlled and a completely automated design process. The developed system is presented using an exemplary urban planning scenario on two levels from the street layout to the placement of building volumes. Based on Self-Organizing Maps we implemented a method which makes it possible to visualize the multi-dimensional solution space in an easily analysable and comprehensible form.},\n\tnumber = {Special Issue Simulation Platform},\n\tjournal = {FCL Magazine},\n\tauthor = {Koenig, Reinhard and Klein, Bernhard},\n\tyear = {2016},\n\tpages = {38--45},\n}\n\n
\n
\n\n\n
\n Urban planning involves many aspects and various disciplines, demanding an asynchronous planning approach. The level of complexity rises with each aspect to be considered and makes it difficult to find universally satisfactory solutions. To improve this situation we propose a new approach, which complement traditional design methods with a computational urban plan- ning method that can fulfil formalizable design requirements automatically. Based on this approach we present a design space exploration framework for complex urban planning projects. For a better understanding of the idea of design space exploration, we introduce the concept of a digital scout which guides planners through the design space and assists them in their creative explorations. The scout can support planners during manual design by informing them about potential im- pacts or by suggesting different solutions that fulfill predefined quality requirements. The planner can change flexibly between a manually controlled and a completely automated design process. The developed system is presented using an exemplary urban planning scenario on two levels from the street layout to the placement of building volumes. Based on Self-Organizing Maps we implemented a method which makes it possible to visualize the multi-dimensional solution space in an easily analysable and comprehensible form.\n
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\n \n\n \n \n \n \n \n Backcasting and a new way of command in computational design.\n \n \n \n\n\n \n Koenig, R.; and Schmitt, G.\n\n\n \n\n\n\n In CAADence in Architecture, pages 15–25, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{koenig_backcasting_2016,\n\ttitle = {Backcasting and a new way of command in computational design},\n\tcopyright = {All rights reserved},\n\tdoi = {10.3311/CAADence.1692},\n\tabstract = {It's not uncommon that analysis and simulation methods are used mainly to evaluate finished designs and to proof their quality. Whereas the potential of such methods is to lead or control a design process from the beginning on. Therefore, we introduce a design method that move away from a “what-if” forecasting philosophy and increase the focus on backcasting approaches. We use the power of computation by combining sophisticated methods to generate design with analysis methods to close the gap between analysis and synthesis of designs. For the development of a future-oriented computational design support we need to be aware of the human designer’s role. A productive combination of the excellence of human cognition with the power of modern computing technology is needed. We call this approach “cognitive design computing”. The computational part aim to mimic the way a designer’s brain works by combining state-of-the-art optimization and machine learning approaches with available simulation methods. The cognition part respects the complex nature of design problems by the provision of models for human-computation interaction. This means that a design problem is distributed between computer and designer. In the context of the conference slogan “back to command”, we ask how we may imagine the command over a cognitive design computing system. We expect that designers will need to let go control of some parts of the design process to machines, but in exchange they will get a new powerful command on complex computing processes. This means that designers have to explore the potentials of their role as commanders of partially automated design processes. In this contribution we describe an approach for the development of a future cognitive design computing system with the focus on urban design issues. The aim of this system is to enable an urban planner to treat a planning problem as a backcasting problem by defining what performance a design solution should achieve and to automatically query or generate a set of best possible solutions. This kind of computational planning process offers proof that the designer meets the original explicitly defined design requirements. A key way in which digital tools can support designers is by generating design proposals. Evolutionary multi-criteria optimization methods allow us to explore a multi-dimensional design space and provide a basis for the designer to evaluate contradicting requirements: a task urban planners are faced with frequently. We also reflect why designers will give more and more control to machines. Therefore, we investigate first approaches learn how designers use computational design support systems in combination with manual design strategies to deal with urban design problems by employing machine learning methods. By observing how designers work, it is possible to derive more complex artificial solution strategies that can help computers make better suggestions in the future.},\n\tbooktitle = {{CAADence} in {Architecture}},\n\tauthor = {Koenig, Reinhard and Schmitt, Gerhard},\n\tyear = {2016},\n\tkeywords = {Cognitive design computing, backcasting, design synthesis, evolutionary optimization, machine learning},\n\tpages = {15--25},\n}\n\n
\n
\n\n\n
\n It's not uncommon that analysis and simulation methods are used mainly to evaluate finished designs and to proof their quality. Whereas the potential of such methods is to lead or control a design process from the beginning on. Therefore, we introduce a design method that move away from a “what-if” forecasting philosophy and increase the focus on backcasting approaches. We use the power of computation by combining sophisticated methods to generate design with analysis methods to close the gap between analysis and synthesis of designs. For the development of a future-oriented computational design support we need to be aware of the human designer’s role. A productive combination of the excellence of human cognition with the power of modern computing technology is needed. We call this approach “cognitive design computing”. The computational part aim to mimic the way a designer’s brain works by combining state-of-the-art optimization and machine learning approaches with available simulation methods. The cognition part respects the complex nature of design problems by the provision of models for human-computation interaction. This means that a design problem is distributed between computer and designer. In the context of the conference slogan “back to command”, we ask how we may imagine the command over a cognitive design computing system. We expect that designers will need to let go control of some parts of the design process to machines, but in exchange they will get a new powerful command on complex computing processes. This means that designers have to explore the potentials of their role as commanders of partially automated design processes. In this contribution we describe an approach for the development of a future cognitive design computing system with the focus on urban design issues. The aim of this system is to enable an urban planner to treat a planning problem as a backcasting problem by defining what performance a design solution should achieve and to automatically query or generate a set of best possible solutions. This kind of computational planning process offers proof that the designer meets the original explicitly defined design requirements. A key way in which digital tools can support designers is by generating design proposals. Evolutionary multi-criteria optimization methods allow us to explore a multi-dimensional design space and provide a basis for the designer to evaluate contradicting requirements: a task urban planners are faced with frequently. We also reflect why designers will give more and more control to machines. Therefore, we investigate first approaches learn how designers use computational design support systems in combination with manual design strategies to deal with urban design problems by employing machine learning methods. By observing how designers work, it is possible to derive more complex artificial solution strategies that can help computers make better suggestions in the future.\n
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\n \n\n \n \n \n \n \n Spatial Optimizations: Merging depthmapX , spatial graph networks and evolutionary design in Grasshopper.\n \n \n \n\n\n \n Koenig, R.; and Varoudis, T.\n\n\n \n\n\n\n In ecaade 34: Complexity & Simplicity, pages 1–6, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@inproceedings{koenig_spatial_2016,\n\ttitle = {Spatial {Optimizations}: {Merging} {depthmapX} , spatial graph networks and evolutionary design in {Grasshopper}},\n\tcopyright = {All rights reserved},\n\tabstract = {In the Space Syntax community, the standard tool for computing all kinds of spatial graph network measures is depthmapX (Turner, 2004; Varoudis, 2012). The process of evaluating many design variants of networks is relatively complicated, since they need to be drawn in a separated CAD system, exported and imported in depthmapX via dxf file format. This procedure disables a continuous integration into a design process. Furthermore, the standalone character of depthmapX makes it impossible to use its network centrality calculation for optimization processes. To overcome this limitations, we present in this paper the first steps of experimenting with a Grasshopper component (reference omitted until final version) that can access the functions of depthmapX and integrate them into Grasshopper/Rhino3D. Here the component is implemented in a way that it can be used directly for an evolutionary algorithm (EA) implemented in a Python scripting component in Grasshopper},\n\tbooktitle = {ecaade 34: {Complexity} \\& {Simplicity}},\n\tauthor = {Koenig, Reinhard and Varoudis, Tasos},\n\tyear = {2016},\n\tkeywords = {depthmapx, evolutionary algorithm, grasshopper, optimization, python, space syntax},\n\tpages = {1--6},\n}\n\n
\n
\n\n\n
\n In the Space Syntax community, the standard tool for computing all kinds of spatial graph network measures is depthmapX (Turner, 2004; Varoudis, 2012). The process of evaluating many design variants of networks is relatively complicated, since they need to be drawn in a separated CAD system, exported and imported in depthmapX via dxf file format. This procedure disables a continuous integration into a design process. Furthermore, the standalone character of depthmapX makes it impossible to use its network centrality calculation for optimization processes. To overcome this limitations, we present in this paper the first steps of experimenting with a Grasshopper component (reference omitted until final version) that can access the functions of depthmapX and integrate them into Grasshopper/Rhino3D. Here the component is implemented in a way that it can be used directly for an evolutionary algorithm (EA) implemented in a Python scripting component in Grasshopper\n
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\n \n\n \n \n \n \n \n \n Assessing Essential Qualities of Urban Space with Emotional and Visual Data Based on GIS Technique.\n \n \n \n \n\n\n \n Li, X.; Hijazi, I.; Koenig, R.; Lv, Z.; Zhong, C.; and Schmitt, G.\n\n\n \n\n\n\n ISPRS International Journal of Geo-Information, 5(11): 1–18. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"AssessingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{li_assessing_2016,\n\ttitle = {Assessing {Essential} {Qualities} of {Urban} {Space} with {Emotional} and {Visual} {Data} {Based} on {GIS} {Technique}},\n\tvolume = {5},\n\tcopyright = {All rights reserved},\n\turl = {http://www.mdpi.com/2220-9964/5/11/218},\n\tdoi = {10.3390/ijgi5110218},\n\tabstract = {Finding a method to evaluate people's emotional responses to urban spaces in a valid and objective way is fundamentally important for urban design practices and related policy making. Analysis of the essential qualities of urban space could be made both more effective and more accurate using innovative information techniques that have become available in the era of big data. This study introduces an integrated method based on geographical information systems (GIS) and an emotion-tracking technique to quantify the relationship between people's emotional responses and urban space. This method can evaluate the degree to which people's emotional responses are influenced by multiple urban characteristics such as building shapes and textures, isovist parameters, visual entropy, and visual fractals. The results indicate that urban spaces may influence people's emotional responses through both spatial sequence arrangements and shifting scenario sequences. Emotional data were collected with body sensors and GPS devices. Spatial clustering was detected to target effective sampling locations; then, isovists were generated to extract building textures. Logistic regression and a receiver operating characteristic analysis were used to determine the key isovist parameters and the probabilities that they influenced people's emotion. Finally, based on the results, we make some suggestions for design professionals in the field of urban space optimization.},\n\tnumber = {11},\n\tjournal = {ISPRS International Journal of Geo-Information},\n\tauthor = {Li, Xin and Hijazi, Ihab and Koenig, Reinhard and Lv, Zhihan and Zhong, Chen and Schmitt, Gerhard},\n\tyear = {2016},\n\tkeywords = {Geographical Information System, geographical information system, isovists, logistic regression, urban form, walking experience},\n\tpages = {1--18},\n}\n\n
\n
\n\n\n
\n Finding a method to evaluate people's emotional responses to urban spaces in a valid and objective way is fundamentally important for urban design practices and related policy making. Analysis of the essential qualities of urban space could be made both more effective and more accurate using innovative information techniques that have become available in the era of big data. This study introduces an integrated method based on geographical information systems (GIS) and an emotion-tracking technique to quantify the relationship between people's emotional responses and urban space. This method can evaluate the degree to which people's emotional responses are influenced by multiple urban characteristics such as building shapes and textures, isovist parameters, visual entropy, and visual fractals. The results indicate that urban spaces may influence people's emotional responses through both spatial sequence arrangements and shifting scenario sequences. Emotional data were collected with body sensors and GPS devices. Spatial clustering was detected to target effective sampling locations; then, isovists were generated to extract building textures. Logistic regression and a receiver operating characteristic analysis were used to determine the key isovist parameters and the probabilities that they influenced people's emotion. Finally, based on the results, we make some suggestions for design professionals in the field of urban space optimization.\n
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\n \n\n \n \n \n \n \n Die Simulation der Stadt.\n \n \n \n\n\n \n Schmitt, G.; Klein, B.; Koenig, R.; Zünd, D.; Treyer, L.; and Berger, M.\n\n\n \n\n\n\n In Stroschein, C., editor(s), Smart City: Die Zukunft der Stadt. Die digitale Stadt. Beuth Verlag, 2016.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@incollection{schmitt_simulation_2016,\n\ttitle = {Die {Simulation} der {Stadt}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-410-25118-7},\n\tbooktitle = {Smart {City}: {Die} {Zukunft} der {Stadt}. {Die} digitale {Stadt}},\n\tpublisher = {Beuth Verlag},\n\tauthor = {Schmitt, Gerhard and Klein, Bernhard and Koenig, Reinhard and Zünd, Daniel and Treyer, Lukas and Berger, Matthias},\n\teditor = {Stroschein, Christoph},\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n \n Lightweight Urban Computation Interchange (LUCI): A System to Couple Heterogenous Simulations and Views.\n \n \n \n \n\n\n \n Treyer, L.; Klein, B.; Koenig, R.; and Meixner, C.\n\n\n \n\n\n\n Spatial Information Research. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"LightweightPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{treyer_lightweight_2016,\n\ttitle = {Lightweight {Urban} {Computation} {Interchange} ({LUCI}): {A} {System} to {Couple} {Heterogenous} {Simulations} and {Views}},\n\tcopyright = {All rights reserved},\n\turl = {http://www.readcube.com/articles/10.1007/s41324-016-0025-y?author_access_token=irUnjg2Sp0sRL-TsP0ExZfe4RwlQNchNByi7wbcMAY43Y8HjMtKLnmLDYun0q3t4bmIjmcUF16IIlFT86AWIzSd7xH6k2ewd7qckimHwJgwBRS4JYdaUKYhhMRTdrKUAcCeLROc2c4UUU4rhs9Q52A==},\n\tdoi = {10.1007/s41324-016-0025-y},\n\tabstract = {In this paper we introduce LUCI, a Lightweight Urban Calculation Interchange system, designed to bring the advantages of calculation and content co-ordination system to small planning and design groups by the means of an open source middle-ware. The middle-ware focuses on problems typical to urban planning and therefore features a geo-data repository as well as a job runtime administration, to coordinate simulation models and its multiple views. The described system architecture is accompanied by two exemplary use cases, that have been used to test and further develop our concepts and implementations.},\n\tjournal = {Spatial Information Research},\n\tauthor = {Treyer, Lukas and Klein, Bernhard and Koenig, Reinhard and Meixner, Christine},\n\tyear = {2016},\n\tkeywords = {Computational urban planning, Design-simulation-loop, Distributed computing, Middle-ware, Multiple comparative views},\n}\n\n
\n
\n\n\n
\n In this paper we introduce LUCI, a Lightweight Urban Calculation Interchange system, designed to bring the advantages of calculation and content co-ordination system to small planning and design groups by the means of an open source middle-ware. The middle-ware focuses on problems typical to urban planning and therefore features a geo-data repository as well as a job runtime administration, to coordinate simulation models and its multiple views. The described system architecture is accompanied by two exemplary use cases, that have been used to test and further develop our concepts and implementations.\n
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\n  \n 2015\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n Interview on Information Architecture.\n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n In Steiner, E., editor(s), Swiss Architecture in the Moving Image, volume 14, pages 151–154. Christoph Merian Verlag, Basel, Swiss Arch edition, 2015.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{koenig_interview_2015,\n\taddress = {Basel},\n\tedition = {Swiss Arch},\n\ttitle = {Interview on {Information} {Architecture}},\n\tvolume = {14},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-85616-664-9},\n\tbooktitle = {Swiss {Architecture} in the {Moving} {Image}},\n\tpublisher = {Christoph Merian Verlag},\n\tauthor = {Koenig, Reinhard},\n\teditor = {Steiner, Evelyn},\n\tyear = {2015},\n\tpages = {151--154},\n}\n\n
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\n \n\n \n \n \n \n \n \n Urban Design Synthesis for Building Layouts based on Evolutionary Many-Criteria Optimization.\n \n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n International Journal of Architectural Computing, 13(3-4): 257–270. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"UrbanPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{koenig_urban_2015,\n\ttitle = {Urban {Design} {Synthesis} for {Building} {Layouts} based on {Evolutionary} {Many}-{Criteria} {Optimization}},\n\tvolume = {13},\n\tcopyright = {All rights reserved},\n\turl = {http://multi-science.atypon.com/doi/abs/10.1260/1478-0771.13.3-4.257},\n\tdoi = {10.1260/1478-0771.13.3-4.257},\n\tabstract = {When working on urban planning projects there are usually multiple aspects to consider. Often these aspects are contradictory and it is not possible to choose one over the other; instead, they each need to be fulfilled as well as possible. In this situation ideal solutions are not always found because they are either not sought or the problems are regarded as being too complex for human capabilities.To improve this situation we propose complementing traditional design approaches with a design synthesis process based on evolutionary many-criteria optimization methods that can fulfill formalizable design requirements. In addition we show how self-organizing maps can be used to visualize many-dimensional solution spaces in an easily analyzable and comprehensible form.The system is presented using an urban planning scenario for the placement of building volumes.},\n\tnumber = {3-4},\n\tjournal = {International Journal of Architectural Computing},\n\tauthor = {Koenig, Reinhard},\n\tyear = {2015},\n\tkeywords = {Deisgn synthesis, Optimization, evolutionary algorithm, multi-criteria},\n\tpages = {257--270},\n}\n\n
\n
\n\n\n
\n When working on urban planning projects there are usually multiple aspects to consider. Often these aspects are contradictory and it is not possible to choose one over the other; instead, they each need to be fulfilled as well as possible. In this situation ideal solutions are not always found because they are either not sought or the problems are regarded as being too complex for human capabilities.To improve this situation we propose complementing traditional design approaches with a design synthesis process based on evolutionary many-criteria optimization methods that can fulfill formalizable design requirements. In addition we show how self-organizing maps can be used to visualize many-dimensional solution spaces in an easily analyzable and comprehensible form.The system is presented using an urban planning scenario for the placement of building volumes.\n
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\n \n\n \n \n \n \n \n \n New Methods in Urban Analysis and Simulation: Documentation of the teaching results from the spring semester 2014.\n \n \n \n \n\n\n \n Koenig, R.; Tapias, E.; and Schmitt, G.\n\n\n \n\n\n\n Technical Report ETH Zurich, Zurich, Switzerland, 2015.\n \n\n\n\n
\n\n\n\n \n \n \"NewPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{koenig_new_2015,\n\taddress = {Zurich, Switzerland},\n\ttitle = {New {Methods} in {Urban} {Analysis} and {Simulation}: {Documentation} of the teaching results from the spring semester 2014},\n\tcopyright = {All rights reserved},\n\turl = {http://e-collection.library.ethz.ch/view/eth:47551?q=reinhard könig},\n\tinstitution = {ETH Zurich},\n\tauthor = {Koenig, Reinhard and Tapias, Estefania and Schmitt, Gerhard},\n\tyear = {2015},\n\tpages = {76--76},\n}\n\n
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\n \n\n \n \n \n \n \n \n CPlan: An Open Source Library for Computational Analysis and Synthesis.\n \n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n In Martens, B; Wurzer, G; T, G.; Lorenz, W E; and Schaffranek, R, editor(s), Real Time - Proceedings of the 33rd eCAADe Conference, volume 1, pages 245–250, 2015. Vienna University of Technology\n \n\n\n\n
\n\n\n\n \n \n \"CPlan:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{koenig_cplan:_2015,\n\ttitle = {{CPlan}: {An} {Open} {Source} {Library} for {Computational} {Analysis} and {Synthesis}},\n\tvolume = {1},\n\tcopyright = {All rights reserved},\n\turl = {http://cumincad.scix.net/cgi-bin/works/Show?_id=ecaade2015_336},\n\tdoi = {10.13140/RG.2.1.2001.9681},\n\tabstract = {Some caad packages offer additional support for the optimization of spatial configurations, but the possibilities for applying optimization are usually limited either by the complexity of the data model or by the constraints of the underlying caad system. Since we missed a system that allows to experiment with optimization techniques for the synthesis of spatial configurations, we developed a collection of methods over the past years. This collection is now combined in the presented open source library for computational planning synthesis, called CPlan. The aim of the library is to provide an easy to use programming framework with a flat learning curve for people with basic programming knowledge. It offers an extensible structure that allows to add new customized parts for various purposes. In this paper the existing functionality of the CPlan library is described.},\n\tbooktitle = {Real {Time} - {Proceedings} of the 33rd {eCAADe} {Conference}},\n\tpublisher = {Vienna University of Technology},\n\tauthor = {Koenig, Reinhard},\n\teditor = {Martens, B and Wurzer, G and T, Grasl and Lorenz, W E and Schaffranek, R},\n\tyear = {2015},\n\tkeywords = {c-sharp, evolutionary algorithms, open source, planning synthesis, spatial configurations},\n\tpages = {245--250},\n}\n\n
\n
\n\n\n
\n Some caad packages offer additional support for the optimization of spatial configurations, but the possibilities for applying optimization are usually limited either by the complexity of the data model or by the constraints of the underlying caad system. Since we missed a system that allows to experiment with optimization techniques for the synthesis of spatial configurations, we developed a collection of methods over the past years. This collection is now combined in the presented open source library for computational planning synthesis, called CPlan. The aim of the library is to provide an easy to use programming framework with a flat learning curve for people with basic programming knowledge. It offers an extensible structure that allows to add new customized parts for various purposes. In this paper the existing functionality of the CPlan library is described.\n
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\n \n\n \n \n \n \n \n \n Lightweight urban computation interchange (LUCI) system.\n \n \n \n \n\n\n \n Treyer, L.; Klein, B.; Meixner, C.; Koenig, R.; and Meixner, C.\n\n\n \n\n\n\n In FOSS4G 2015 Conference, pages 12–12, 2015. FOSS4G\n \n\n\n\n
\n\n\n\n \n \n \"LightweightPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{treyer_lightweight_2015,\n\ttitle = {Lightweight urban computation interchange ({LUCI}) system},\n\tcopyright = {All rights reserved},\n\turl = {http://e-collection.library.ethz.ch/view/eth:48096?q=reinhard könig},\n\tdoi = {10.3929/ethz-a-010525461},\n\tabstract = {In this paper we introduce LUCI, a Lightweight Urban Calculation Interchange system, designed to bring the advantages of a calculation and content co-ordination system to small planning and design groups by the means of an open source middle-ware. The middle-ware focuses on problems typical to urban planning and therefore features a geo-data repository as well as a job runtime administration, to coordinate simulation models and its multiple views. The described system architecture is accompanied by two exemplary use cases that have been used to test and further develop our concepts and implementations.},\n\tbooktitle = {{FOSS4G} 2015 {Conference}},\n\tpublisher = {FOSS4G},\n\tauthor = {Treyer, Lukas and Klein, Bernhard and Meixner, Christine and Koenig, Reinhard and Meixner, Christine},\n\tyear = {2015},\n\tkeywords = {Luci},\n\tpages = {12--12},\n}\n\n
\n
\n\n\n
\n In this paper we introduce LUCI, a Lightweight Urban Calculation Interchange system, designed to bring the advantages of a calculation and content co-ordination system to small planning and design groups by the means of an open source middle-ware. The middle-ware focuses on problems typical to urban planning and therefore features a geo-data repository as well as a job runtime administration, to coordinate simulation models and its multiple views. The described system architecture is accompanied by two exemplary use cases that have been used to test and further develop our concepts and implementations.\n
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\n  \n 2014\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n \n Comparing two evolutionary algorithm based methods for layout generation: Dense packing versus subdivision.\n \n \n \n \n\n\n \n Koenig, R.; and Knecht, K.\n\n\n \n\n\n\n Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 28(03): 285–299. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"ComparingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{koenig_comparing_2014,\n\ttitle = {Comparing two evolutionary algorithm based methods for layout generation: {Dense} packing versus subdivision},\n\tvolume = {28},\n\tcopyright = {All rights reserved},\n\turl = {http://www.journals.cambridge.org/abstract_S0890060414000237},\n\tdoi = {10.1017/S0890060414000237},\n\tabstract = {We present and compare two evolutionary algorithm based methods for rectangular architectural layout generation: dense packing and subdivision algorithms.We analyze the characteristics of the two methods on the basis of three floor plan sce- narios. Our analyses include the speed with which solutions are generated, the reliability with which optimal solutions can be found, and the number of different solutions that can be found overall. In a following step, we discuss the methods with respect to their different user interaction capabilities. In addition, we show that each method has the capability to generate more complex L-shaped layouts. Finally,we conclude that neither of the methods is superior but that each of them is suitable for use in distinct application scenarios because of its different properties.},\n\tnumber = {03},\n\tjournal = {Artificial Intelligence for Engineering Design, Analysis and Manufacturing},\n\tauthor = {Koenig, Reinhard and Knecht, Katja},\n\tyear = {2014},\n\tkeywords = {dense packing, evolutionary algorithm, layout generation, subdivision},\n\tpages = {285--299},\n}\n\n
\n
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\n We present and compare two evolutionary algorithm based methods for rectangular architectural layout generation: dense packing and subdivision algorithms.We analyze the characteristics of the two methods on the basis of three floor plan sce- narios. Our analyses include the speed with which solutions are generated, the reliability with which optimal solutions can be found, and the number of different solutions that can be found overall. In a following step, we discuss the methods with respect to their different user interaction capabilities. In addition, we show that each method has the capability to generate more complex L-shaped layouts. Finally,we conclude that neither of the methods is superior but that each of them is suitable for use in distinct application scenarios because of its different properties.\n
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\n \n\n \n \n \n \n \n Using geo statistical analysis to detect similarities in emotional responses of urban walkers to urban space.\n \n \n \n\n\n \n Koenig, R.; Schneider, S.; Hijazi, I.; Li, X.; Bielik, M.; Schmitt, G.; and Dirk, D.\n\n\n \n\n\n\n In Sixth International Conference on Design Computing and Cognition (DCC14), pages 1–1, 2014. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{koenig_using_2014,\n\ttitle = {Using geo statistical analysis to detect similarities in emotional responses of urban walkers to urban space},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Sixth {International} {Conference} on {Design} {Computing} and {Cognition} ({DCC14})},\n\tauthor = {Koenig, Reinhard and Schneider, Sven and Hijazi, Ihab and Li, Xin and Bielik, Martin and Schmitt, Gerhard and Dirk, Donath},\n\tyear = {2014},\n\tpages = {1--1},\n}\n\n
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\n \n\n \n \n \n \n \n \n Digital Urban Simulation: Documentation of the teaching results from the fall semester 2014.\n \n \n \n \n\n\n \n Koenig, R.; Tapias, E.; and Schmitt, G.\n\n\n \n\n\n\n Technical Report Zurich, Switzerland, 2014.\n \n\n\n\n
\n\n\n\n \n \n \"DigitalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{koenig_digital_2014,\n\taddress = {Zurich, Switzerland},\n\ttitle = {Digital {Urban} {Simulation}: {Documentation} of the teaching results from the fall semester 2014},\n\tcopyright = {All rights reserved},\n\turl = {http://e-collection.library.ethz.ch/view/eth:47755?q=reinhard könig},\n\tauthor = {Koenig, Reinhard and Tapias, Estefania and Schmitt, Gerhard},\n\tyear = {2014},\n\tpages = {102--102},\n}\n\n
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\n \n\n \n \n \n \n \n \n Enabling geo-design: Evaluating the capacity of 3D city model to support thermal design in building.\n \n \n \n \n\n\n \n Hijazi, I.; Hussein, M H; and Koenig, R.\n\n\n \n\n\n\n In Martin Breunig Edgar Butwilowski, J. B.; and Karl-Heinz Haefele, M. A., editor(s), 9th 3DGeoInfo Conference, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"EnablingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{hijazi_enabling_2014,\n\ttitle = {Enabling geo-design: {Evaluating} the capacity of {3D} city model to support thermal design in building},\n\tcopyright = {All rights reserved},\n\turl = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000043804},\n\tbooktitle = {9th {3DGeoInfo} {Conference}},\n\tauthor = {Hijazi, I. and Hussein, M H and Koenig, Reinhard},\n\teditor = {Martin Breunig Edgar Butwilowski, Joachim Benner, Karl-Heinz Haefele, Mulhim Al-Doori, Paul Vincent Kuper},\n\tyear = {2014},\n\tkeywords = {bim, cad, citygml, gbxml, thermal design},\n}\n\n
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\n \n\n \n \n \n \n \n \n Evolutionary multi-criteria optimization for building layout planning: Exemplary application based on the PSSA framework.\n \n \n \n \n\n\n \n Koenig, R.; Standfest, M.; and Schmitt, G.\n\n\n \n\n\n\n In Thompson, E. M., editor(s), Proceedings of the 32nd eCAADe Conference - Volume 2, pages 567–574, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"EvolutionaryPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@inproceedings{koenig_evolutionary_2014,\n\ttitle = {Evolutionary multi-criteria optimization for building layout planning: {Exemplary} application based on the {PSSA} framework},\n\tcopyright = {All rights reserved},\n\turl = {http://cumincad.scix.net/cgi-bin/works/Show?_id=ecaade2014_019&sort=DEFAULT&search=series%3Aecaade year%3A2014&hits=132},\n\tdoi = {10.13140/2.1.4951.4888},\n\tabstract = {When working on urban planning projects there are usually multiple aspects to consider. Often these aspects are contradictory and it is not possible to choose one over the other; instead, they each need to be fulfilled as well as possible. Planners typically draw on past experience when subjectively prioritising which aspects to consider with which degree of importance for their planning concepts. This practice, although understandable, places power and authority in the hands of people who have varying degrees of expertise, which means that the best possible solution is not always found, because it is either not sought or the problem is regarded as being too complex for human capabilities. To improve this situation, the project presented here shows the potential of multi-criteria optimisation algorithms using the example of a new housing layout for an urban block. In addition it is shown, how Self-Organizing-Maps can be used to visualise multi-dimensional solution spaces in an easy analysable and comprehensible form.},\n\tbooktitle = {Proceedings of the 32nd {eCAADe} {Conference} - {Volume} 2},\n\tauthor = {Koenig, Reinhard and Standfest, Matthias and Schmitt, Gerhard},\n\teditor = {Thompson, Emine Mine},\n\tyear = {2014},\n\tkeywords = {Isovist, Planning synthesis, isovist, multi-criteria, optimization, planning synthesis, spatial analysis},\n\tpages = {567--574},\n}\n\n
\n
\n\n\n
\n When working on urban planning projects there are usually multiple aspects to consider. Often these aspects are contradictory and it is not possible to choose one over the other; instead, they each need to be fulfilled as well as possible. Planners typically draw on past experience when subjectively prioritising which aspects to consider with which degree of importance for their planning concepts. This practice, although understandable, places power and authority in the hands of people who have varying degrees of expertise, which means that the best possible solution is not always found, because it is either not sought or the problem is regarded as being too complex for human capabilities. To improve this situation, the project presented here shows the potential of multi-criteria optimisation algorithms using the example of a new housing layout for an urban block. In addition it is shown, how Self-Organizing-Maps can be used to visualise multi-dimensional solution spaces in an easy analysable and comprehensible form.\n
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\n  \n 2013\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n New Methods in Urban Analysis and Simulation.\n \n \n \n \n\n\n \n Koenig, R.; Tapias, E.; and Schmitt, G.\n\n\n \n\n\n\n Technical Report Zurich, Switzerland, 2013.\n \n\n\n\n
\n\n\n\n \n \n \"NewPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{koenig_new_2013,\n\taddress = {Zurich, Switzerland},\n\ttitle = {New {Methods} in {Urban} {Analysis} and {Simulation}},\n\tcopyright = {All rights reserved},\n\turl = {http://e-collection.library.ethz.ch/view/eth:47550?q=reinhard könig},\n\tabstract = {Documentation of the teaching results from the autumn semester 2013},\n\tauthor = {Koenig, Reinhard and Tapias, Estefania and Schmitt, Gerhard},\n\tyear = {2013},\n\tdoi = {10.3929/ethz-a-010403847},\n\tpages = {60--60},\n}\n\n
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\n Documentation of the teaching results from the autumn semester 2013\n
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\n \n\n \n \n \n \n \n New Methods in Urban Analysis and Simulation: Documentation of teaching results from the autumn semester 2013.\n \n \n \n\n\n \n Koenig, R.; Tapias, E.; and Schmitt, G.\n\n\n \n\n\n\n Technical Report Zurich, Switzerland, 2013.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{koenig_new_2013-1,\n\taddress = {Zurich, Switzerland},\n\ttitle = {New {Methods} in {Urban} {Analysis} and {Simulation}: {Documentation} of teaching results from the autumn semester 2013},\n\tcopyright = {All rights reserved},\n\tauthor = {Koenig, Reinhard and Tapias, Estefania and Schmitt, Gerhard},\n\tyear = {2013},\n\tpages = {60--60},\n}\n\n
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\n \n\n \n \n \n \n \n \n Graphical smalltalk with my optimization system for urban planning tasks.\n \n \n \n \n\n\n \n Koenig, R.; Treyer, L.; and Schmitt, G.\n\n\n \n\n\n\n In Stouffs, R.; and Sariyildiz, S., editor(s), Proceedings of the 31st eCAADe Conference – Volume 2, pages 195–203, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"GraphicalPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@inproceedings{koenig_graphical_2013,\n\ttitle = {Graphical smalltalk with my optimization system for urban planning tasks},\n\tcopyright = {All rights reserved},\n\turl = {http://cumincad.scix.net/cgi-bin/works/Show?_id=ecaade2013_197&sort=DEFAULT&search=Koenig Reinhard&hits=10},\n\tabstract = {Based on the description of a conceptual framework for the representation of planning problems on various scales, we introduce an evolutionary design optimization system. This system is exemplified by means of the generation of street networks with locally defined properties for centrality. We show three different scenarios for planning requirements and evaluate the resulting structures with respect to the requirements of our framework. Finally the potentials and challenges of the presented approach are discussed in detail.},\n\tbooktitle = {Proceedings of the 31st {eCAADe} {Conference} – {Volume} 2},\n\tauthor = {Koenig, Reinhard and Treyer, Lukas and Schmitt, Gerhard},\n\teditor = {Stouffs, Rudi and Sariyildiz, Sevil},\n\tyear = {2013},\n\tkeywords = {Design optimization, evolutionary multi-criteria optimization, generative system integration, interactive planning support system},\n\tpages = {195--203},\n}\n\n
\n
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\n Based on the description of a conceptual framework for the representation of planning problems on various scales, we introduce an evolutionary design optimization system. This system is exemplified by means of the generation of street networks with locally defined properties for centrality. We show three different scenarios for planning requirements and evaluate the resulting structures with respect to the requirements of our framework. Finally the potentials and challenges of the presented approach are discussed in detail.\n
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\n  \n 2012\n \n \n (12)\n \n \n
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\n \n\n \n \n \n \n \n Parametric Urban Patterns: Exploring and integrating graph-based spatial properties in parametric urban modelling.\n \n \n \n\n\n \n Bielik, M.; Schneider, S.; and Koenig, R.\n\n\n \n\n\n\n In eCAADe 2012, 2012. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@inproceedings{bielik_parametric_2012,\n\ttitle = {Parametric {Urban} {Patterns}: {Exploring} and integrating graph-based spatial properties in parametric urban modelling},\n\tcopyright = {All rights reserved},\n\tabstract = {The article presents a graph-based spatial analysis toolset (“decoding spaces” components) which we have recently developed as an extension of the visual scripting language Grasshopper3D for Rhino. These tools directly integrate spatial analysis methods into CAD design software which can have a significant effect on current design workflows. However, grasshopper doesn’t only enable the results of analyses to be used in the standard Rhino modelling environment. It also makes it possible to integrate spatial analysis into a parametric design approach as discussed in this paper. The functionality of this toolset is demonstrated using a simple urban design scenario where we introduce the idea of parametric patterns based on graph-measures.},\n\tbooktitle = {{eCAADe} 2012},\n\tauthor = {Bielik, Martin and Schneider, Sven and Koenig, Reinhard},\n\tyear = {2012},\n\tkeywords = {decoding spaces, design process, parametric modelling, spatial analysis, urban layout},\n}\n\n
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\n The article presents a graph-based spatial analysis toolset (“decoding spaces” components) which we have recently developed as an extension of the visual scripting language Grasshopper3D for Rhino. These tools directly integrate spatial analysis methods into CAD design software which can have a significant effect on current design workflows. However, grasshopper doesn’t only enable the results of analyses to be used in the standard Rhino modelling environment. It also makes it possible to integrate spatial analysis into a parametric design approach as discussed in this paper. The functionality of this toolset is demonstrated using a simple urban design scenario where we introduce the idea of parametric patterns based on graph-measures.\n
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\n \n\n \n \n \n \n \n Generating urban structures: A method for urban planning supported by multi-agent systems and cellular automata.\n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n Space & Form, 16. 2012.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{koenig_generating_2012,\n\ttitle = {Generating urban structures: {A} method for urban planning supported by multi-agent systems and cellular automata},\n\tvolume = {16},\n\tcopyright = {All rights reserved},\n\tabstract = {This work is based on the concept that the structure of a city can be defined by six basic urban patterns. To enable more complex urban planning as a long-term objective I have developed a simulation method for generating these basic patterns and for combining them to form various structures. The generative process starts with the two-dimensional organisation of streets followed by the parceling of the remaining areas. An agent-based diffusion-contact model is the basis of these first two steps. Then, with the help of cellular automata, the sites for building on are defined and a three-dimensional building structure is derived. I illustrate the proposed method by showing how it can be applied to generate possible structures for an urban area in the city of Munich. Keywords:},\n\tjournal = {Space \\& Form},\n\tauthor = {Koenig, Reinhard},\n\tyear = {2012},\n\tkeywords = {cellular automata, diffusion limited aggregation, diffusion-contact model, generative design system, multi-agent systems, urban modeling},\n}\n\n
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\n\n\n
\n This work is based on the concept that the structure of a city can be defined by six basic urban patterns. To enable more complex urban planning as a long-term objective I have developed a simulation method for generating these basic patterns and for combining them to form various structures. The generative process starts with the two-dimensional organisation of streets followed by the parceling of the remaining areas. An agent-based diffusion-contact model is the basis of these first two steps. Then, with the help of cellular automata, the sites for building on are defined and a three-dimensional building structure is derived. I illustrate the proposed method by showing how it can be applied to generate possible structures for an urban area in the city of Munich. Keywords:\n
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\n \n\n \n \n \n \n \n \n Hierarchical structuring of layout problems in an interactive evolutionary layout system.\n \n \n \n \n\n\n \n Koenig, R.; and Schneider, S.\n\n\n \n\n\n\n AIEDAM: Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 26(2): 129–142. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"HierarchicalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{koenig_hierarchical_2012,\n\ttitle = {Hierarchical structuring of layout problems in an interactive evolutionary layout system},\n\tvolume = {26},\n\tcopyright = {All rights reserved},\n\turl = {http://journals.cambridge.org/article_S0890060412000030},\n\tdoi = {10.1017/S0890060412000030},\n\tabstract = {This paper focuses on computer-based generative methods for layout problems in architecture and urban planning with special regard for the hierarchical structuring of layout elements. The generation of layouts takes place using evolutionary algorithms, which are used to optimize the arrangement of elements in terms of overlapping within a given boundary and the topological relations between them. In this paper, the approach is extended by a data structure that facilitates the hierarchical organization of layout elements making it possible to structure and organize larger layout problems into subsets that can be solved in parallel. An important aspect for the applicability of such a system in the design process is an appropriate means of user interaction. This depends largely on the calculation speed of the system and the variety of viable solutions. These properties are evaluated for hierarchical as well as for nonhierarchical structured layout problems§},\n\tnumber = {2},\n\tjournal = {AIEDAM: Artificial Intelligence for Engineering Design, Analysis and Manufacturing},\n\tauthor = {Koenig, Reinhard and Schneider, Sven},\n\tyear = {2012},\n\tpages = {129--142},\n}\n\n
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\n This paper focuses on computer-based generative methods for layout problems in architecture and urban planning with special regard for the hierarchical structuring of layout elements. The generation of layouts takes place using evolutionary algorithms, which are used to optimize the arrangement of elements in terms of overlapping within a given boundary and the topological relations between them. In this paper, the approach is extended by a data structure that facilitates the hierarchical organization of layout elements making it possible to structure and organize larger layout problems into subsets that can be solved in parallel. An important aspect for the applicability of such a system in the design process is an appropriate means of user interaction. This depends largely on the calculation speed of the system and the variety of viable solutions. These properties are evaluated for hierarchical as well as for nonhierarchical structured layout problems§\n
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\n \n\n \n \n \n \n \n \n KREMLAS: Entwicklung einer kreativen evolutionären Entwurfsmethode für Layoutprobleme in Architektur und Städtebau.\n \n \n \n \n\n\n \n Koenig, R.; Schneider, S.; and Knecht, K.\n\n\n \n\n\n\n Verlag der Bauhaus-Universität Weimar, Weimar, Koenig, R edition, 2012.\n \n\n\n\n
\n\n\n\n \n \n \"KREMLAS:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@book{koenig_kremlas:_2012,\n\taddress = {Weimar},\n\tedition = {Koenig, R},\n\ttitle = {{KREMLAS}: {Entwicklung} einer kreativen evolutionären {Entwurfsmethode} für {Layoutprobleme} in {Architektur} und {Städtebau}},\n\tcopyright = {All rights reserved},\n\turl = {http://e-pub.uni-weimar.de/opus4/frontdoor/index/index/docId/1650},\n\tabstract = {Die im vorliegenden Buch dokumentierten Untersu- chungen befassen sich mit der Entwicklung von Methoden zur algorithmischen Lösung von Layout- aufgaben im architektonischen Kontext. Layout bezeichnet hier die gestalterisch und funktional sinnvolle Anordnung räumlicher Elemente, z.B. von Parzellen, Gebäuden, Räumen auf bestimmten Maßstabsebenen. Die vorliegenden Untersuchun- gen sind im Rahmen eines von der Deutschen Forschungsgemeinschaft geförderten Forschungs- projekts entstanden. gefördert},\n\tpublisher = {Verlag der Bauhaus-Universität Weimar},\n\tauthor = {Koenig, Reinhard and Schneider, Sven and Knecht, Katja},\n\teditor = {Koenig, R and Donath, D and Petzold, F},\n\tyear = {2012},\n}\n\n
\n
\n\n\n
\n Die im vorliegenden Buch dokumentierten Untersu- chungen befassen sich mit der Entwicklung von Methoden zur algorithmischen Lösung von Layout- aufgaben im architektonischen Kontext. Layout bezeichnet hier die gestalterisch und funktional sinnvolle Anordnung räumlicher Elemente, z.B. von Parzellen, Gebäuden, Räumen auf bestimmten Maßstabsebenen. Die vorliegenden Untersuchun- gen sind im Rahmen eines von der Deutschen Forschungsgemeinschaft geförderten Forschungs- projekts entstanden. gefördert\n
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\n \n\n \n \n \n \n \n \n Automatische Grundstücksumlegung mithilfe von Unterteilungsalgorithmen und typenbasierte Generierung von Stadtstrukturen.\n \n \n \n \n\n\n \n Knecht, K.; Koenig, R.; Donath, D; and Koenig, R\n\n\n \n\n\n\n Technical Report Bauhaus-Universität Weimar, Weimar, 2012.\n \n\n\n\n
\n\n\n\n \n \n \"AutomatischePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@techreport{knecht_automatische_2012,\n\taddress = {Weimar},\n\ttitle = {Automatische {Grundstücksumlegung} mithilfe von {Unterteilungsalgorithmen} und typenbasierte {Generierung} von {Stadtstrukturen}},\n\tcopyright = {All rights reserved},\n\turl = {http://infar.architektur.uni-weimar.de/service/drupal-infar/Arbeitspapier15},\n\tabstract = {Dieses Arbeitspapier beschreibt, wie ausgehend von einem vorhandenen Straßennetzwerk Bebauungsareale mithilfe von Unterteilungsalgorithmen automatisch umgelegt, d.h. in Grundstücke unterteilt, und anschließend auf Basis verschiedener städtebaulicher Typen bebaut werden können. Die Unterteilung von Bebauungsarealen und die Generierung von Bebauungsstrukturen unterliegen dabei bestimmten stadtplanerischen Einschränkungen, Vorgaben und Parametern. Ziel ist es aus den dargestellten Untersuchungen heraus ein Vorschlagssystem für stadtplanerische Entwürfe zu entwickeln, das anhand der Umsetzung eines ersten Softwareprototyps zur Generierung von Stadtstrukturen weiter diskutiert wird.},\n\tinstitution = {Bauhaus-Universität Weimar},\n\tauthor = {Knecht, Katja and Koenig, Reinhard and Donath, D and Koenig, R},\n\tyear = {2012},\n\tkeywords = {Automatisierung, Computational Design, Generierung, Grundstücksumlegung, Unterteilungsalgorithmen, städtische Strukturen},\n\tpages = {1--21},\n}\n\n
\n
\n\n\n
\n Dieses Arbeitspapier beschreibt, wie ausgehend von einem vorhandenen Straßennetzwerk Bebauungsareale mithilfe von Unterteilungsalgorithmen automatisch umgelegt, d.h. in Grundstücke unterteilt, und anschließend auf Basis verschiedener städtebaulicher Typen bebaut werden können. Die Unterteilung von Bebauungsarealen und die Generierung von Bebauungsstrukturen unterliegen dabei bestimmten stadtplanerischen Einschränkungen, Vorgaben und Parametern. Ziel ist es aus den dargestellten Untersuchungen heraus ein Vorschlagssystem für stadtplanerische Entwürfe zu entwickeln, das anhand der Umsetzung eines ersten Softwareprototyps zur Generierung von Stadtstrukturen weiter diskutiert wird.\n
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\n \n\n \n \n \n \n \n \n Vergleich zweier Methoden zur Erzeugung von Grundriss-Layouts: Dichte Packung vs. Unterteilungsalgorithmen.\n \n \n \n \n\n\n \n Koenig, R.; and Knecht, K.\n\n\n \n\n\n\n In Donath, D.; Koenig, R.; and Petzold, F., editor(s), KREMLAS Entwicklung einer kreativen evolutionären Entwurfsmethode für Layoutprobleme in Architektur und Städtebau, pages 141–153. Verlag der Bauhaus-Universität Weimar, Weimar, 2012.\n \n\n\n\n
\n\n\n\n \n \n \"VergleichPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@incollection{koenig_vergleich_2012,\n\taddress = {Weimar},\n\ttitle = {Vergleich zweier {Methoden} zur {Erzeugung} von {Grundriss}-{Layouts}: {Dichte} {Packung} vs. {Unterteilungsalgorithmen}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-86068-471-9},\n\turl = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20120509-16504},\n\tabstract = {In diesem Kapitel werden die Methoden zur Erzeugung von Grundrisslayouts mit- tels dichter Packung (Kapitel 5) und mittels Unterteilungsalgorithmen (Kapitel 7) miteinander verglichen. Basierend auf zwei Grundrissszenarien werden die Eigen- schaften der beiden Layoutsolver analysiert. Die Analysen betrachten erstens die Geschwindigkeit, mit der Lösungen gefunden werden, zweitens die Zuverlässigkeit, mit der optimale Lösung gefunden werden, sowie drittens die Anzahl an unter- schiedlichen Lösungen, die überhaupt gefunden werden können. Die Ergebnisse der Analysen werden einer vergleichbaren Studie von Flemming, Baykan et al. (1992) gegenübergestellt. Abschließend werden die Unterschiede der beiden verglichenen Methoden im Hinblick auf die Möglichkeiten der Nutzerinteraktion besprochen. In einer abschließenden Betrachtung wird dargestellt, dass keine der betrachteten Me- thoden der anderen überlegen ist, sondern dass sie sich aufgrund ihrer unterschied- lichen Eigenschaften für verschiedene Anwendungsszenarien mehr oder weniger eignen.},\n\tbooktitle = {{KREMLAS} {Entwicklung} einer kreativen evolutionären {Entwurfsmethode} für {Layoutprobleme} in {Architektur} und {Städtebau}},\n\tpublisher = {Verlag der Bauhaus-Universität Weimar},\n\tauthor = {Koenig, Reinhard and Knecht, Katja},\n\teditor = {Donath, Dirk and Koenig, Reinhard and Petzold, Frank},\n\tyear = {2012},\n\tpages = {141--153},\n}\n\n
\n
\n\n\n
\n In diesem Kapitel werden die Methoden zur Erzeugung von Grundrisslayouts mit- tels dichter Packung (Kapitel 5) und mittels Unterteilungsalgorithmen (Kapitel 7) miteinander verglichen. Basierend auf zwei Grundrissszenarien werden die Eigen- schaften der beiden Layoutsolver analysiert. Die Analysen betrachten erstens die Geschwindigkeit, mit der Lösungen gefunden werden, zweitens die Zuverlässigkeit, mit der optimale Lösung gefunden werden, sowie drittens die Anzahl an unter- schiedlichen Lösungen, die überhaupt gefunden werden können. Die Ergebnisse der Analysen werden einer vergleichbaren Studie von Flemming, Baykan et al. (1992) gegenübergestellt. Abschließend werden die Unterschiede der beiden verglichenen Methoden im Hinblick auf die Möglichkeiten der Nutzerinteraktion besprochen. In einer abschließenden Betrachtung wird dargestellt, dass keine der betrachteten Me- thoden der anderen überlegen ist, sondern dass sie sich aufgrund ihrer unterschied- lichen Eigenschaften für verschiedene Anwendungsszenarien mehr oder weniger eignen.\n
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\n \n\n \n \n \n \n \n Exploring the Generative Potential of Isovist Fields: The Evolutionary Generation of Urban Layouts based on Isovist Field Properties.\n \n \n \n\n\n \n Schneider, S.; and Koenig, R.\n\n\n \n\n\n\n In 30th International Conference on Education and research in Computer Aided Architectural Design in Europe, pages 355–363, 2012. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@inproceedings{schneider_exploring_2012,\n\ttitle = {Exploring the {Generative} {Potential} of {Isovist} {Fields}: {The} {Evolutionary} {Generation} of {Urban} {Layouts} based on {Isovist} {Field} {Properties}},\n\tcopyright = {All rights reserved},\n\tabstract = {Isovists and isovist fields can be used to numerically capture the visual properties of spatial configurations (e.g. floor plans or urban layouts). To a certain degree these properties allow one to make statements about how spaces affect people. The question that serves as the starting point of this study is to examine whether spatial configurations can generated on the basis of these properties. This question is explored using an experimental approach for the computer-based generation of two-dimensional urban layouts. The spatial arrangements of two-dimensional elements (building-footprints) within a given boundary is optimised in terms of the desired isovist field properties by means of an evolutionary strategy. The paper presents the results of this optimisation and discusses the advantages of this method compared with pattern books as commonly used in architecture.},\n\tbooktitle = {30th {International} {Conference} on {Education} and research in {Computer} {Aided} {Architectural} {Design} in {Europe}},\n\tauthor = {Schneider, Sven and Koenig, Reinhard},\n\tyear = {2012},\n\tkeywords = {Evolutionary Strategy, Generative Design, Isovists, Spatial Configuration, Visibility Based Design},\n\tpages = {355--363},\n}\n\n
\n
\n\n\n
\n Isovists and isovist fields can be used to numerically capture the visual properties of spatial configurations (e.g. floor plans or urban layouts). To a certain degree these properties allow one to make statements about how spaces affect people. The question that serves as the starting point of this study is to examine whether spatial configurations can generated on the basis of these properties. This question is explored using an experimental approach for the computer-based generation of two-dimensional urban layouts. The spatial arrangements of two-dimensional elements (building-footprints) within a given boundary is optimised in terms of the desired isovist field properties by means of an evolutionary strategy. The paper presents the results of this optimisation and discusses the advantages of this method compared with pattern books as commonly used in architecture.\n
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\n \n\n \n \n \n \n \n \n Real-Time Visibility Analysis: Enhancing calculation speed of isovists and isovist-fields using the GPU.\n \n \n \n \n\n\n \n Schneider, S.; and Koenig, R.\n\n\n \n\n\n\n In 11th International Conference on Design & Decision Support Systems (DDSS), 2012. \n \n\n\n\n
\n\n\n\n \n \n \"Real-TimePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@inproceedings{schneider_real-time_2012,\n\ttitle = {Real-{Time} {Visibility} {Analysis}: {Enhancing} calculation speed of isovists and isovist-fields using the {GPU}},\n\tcopyright = {All rights reserved},\n\turl = {http://infar.architektur.uni-weimar.de/service/drupal-infar/webfm_send/1163},\n\tdoi = {10.13140/2.1.1419.8725},\n\tabstract = {In this paper a tool is presented that links the modelling process (drawing of floor plans) and visibility analysis (isovists and isovist-fields). The basic premise of the paper is that the designer must receive immediate analytical feedback to changes made to the drawing in order to comprehend the effects of his actions. To achieve such immediate feedback, analysis calculations have to be conducted at high speed. We show how the calculation of isovists or isovist-fields can be accelerated by using the graphical processing unit (GPU).},\n\tbooktitle = {11th {International} {Conference} on {Design} \\& {Decision} {Support} {Systems} ({DDSS})},\n\tauthor = {Schneider, Sven and Koenig, Reinhard},\n\tyear = {2012},\n\tkeywords = {GPU, Isovist, Real-Time, Visbility},\n}\n\n
\n
\n\n\n
\n In this paper a tool is presented that links the modelling process (drawing of floor plans) and visibility analysis (isovists and isovist-fields). The basic premise of the paper is that the designer must receive immediate analytical feedback to changes made to the drawing in order to comprehend the effects of his actions. To achieve such immediate feedback, analysis calculations have to be conducted at high speed. We show how the calculation of isovists or isovist-fields can be accelerated by using the graphical processing unit (GPU).\n
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\n \n\n \n \n \n \n \n \n Aktionsräume in Dresden.\n \n \n \n \n\n\n \n Köhler, H.; Koenig, R.; Donath, D; and Koenig, R\n\n\n \n\n\n\n Technical Report ISSN 2191-2416, Bauhaus-Universität Weimar, Weimar, 2012.\n \n\n\n\n
\n\n\n\n \n \n \"AktionsräumePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@techreport{kohler_aktionsraume_2012,\n\taddress = {Weimar},\n\ttitle = {Aktionsräume in {Dresden}},\n\tcopyright = {All rights reserved},\n\turl = {http://infar.architektur.uni-weimar.de/service/drupal-infar/Arbeitspapier14},\n\tabstract = {In vorliegender Studie werden die Aktionsräume von Befragten in Dresden über eine stan- dardisierte Befragung (n=360) untersucht. Die den Aktionsräumen zugrundeliegenden Akti- vitäten werden unterschieden in Einkaufen für den täglichen Bedarf, Ausgehen (z.B. in Café, Kneipe, Gaststätte), Erholung im Freien (z.B. spazieren gehen, Nutzung von Grünanlagen) und private Geselligkeit (z.B. Feiern, Besuch von Verwandten/Freunden). Der Aktionsradius wird unterschieden in Wohnviertel, Nachbarviertel und sonstiges weiteres Stadtgebiet. Um aus den vier betrachteten Aktivitäten einen umfassenden Kennwert für den durchschnittli- chen Aktionsradius eines Befragten zu bilden, wird ein Modell für den Kennwert eines Ak- tionsradius entwickelt. Die Studie kommt zu dem Ergebnis, dass das Alter der Befragten einen signifikanten – wenn auch geringen – Einfluss auf den Aktionsradius hat. Das Haus- haltsnettoeinkommen hat einen mit Einschränkung signifikanten, ebenfalls geringen Einfluss auf alltägliche Aktivitäten der Befragten. Keywords:},\n\tnumber = {ISSN 2191-2416},\n\tinstitution = {Bauhaus-Universität Weimar},\n\tauthor = {Köhler, Hermann and Koenig, Reinhard and Donath, D and Koenig, R},\n\tyear = {2012},\n\tkeywords = {CoMStaR, Dresden, Milieuforschung, Quantitative Sozialforschung, Residentielle Mobilität, Wohn- standortentscheidungen, Wohnstandortpräferenzen},\n}\n\n
\n
\n\n\n
\n In vorliegender Studie werden die Aktionsräume von Befragten in Dresden über eine stan- dardisierte Befragung (n=360) untersucht. Die den Aktionsräumen zugrundeliegenden Akti- vitäten werden unterschieden in Einkaufen für den täglichen Bedarf, Ausgehen (z.B. in Café, Kneipe, Gaststätte), Erholung im Freien (z.B. spazieren gehen, Nutzung von Grünanlagen) und private Geselligkeit (z.B. Feiern, Besuch von Verwandten/Freunden). Der Aktionsradius wird unterschieden in Wohnviertel, Nachbarviertel und sonstiges weiteres Stadtgebiet. Um aus den vier betrachteten Aktivitäten einen umfassenden Kennwert für den durchschnittli- chen Aktionsradius eines Befragten zu bilden, wird ein Modell für den Kennwert eines Ak- tionsradius entwickelt. Die Studie kommt zu dem Ergebnis, dass das Alter der Befragten einen signifikanten – wenn auch geringen – Einfluss auf den Aktionsradius hat. Das Haus- haltsnettoeinkommen hat einen mit Einschränkung signifikanten, ebenfalls geringen Einfluss auf alltägliche Aktivitäten der Befragten. Keywords:\n
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\n \n\n \n \n \n \n \n \n The Parametric Exploration of Spatial Properties: Coupling parametric geometry modeling and graph-based spatial analysis.\n \n \n \n \n\n\n \n Schneider, S.; Bielik, M.; and Koenig, R.\n\n\n \n\n\n\n In Symposium on Simulation for Architecture and Urban Design (SimAUD 2012), volume 44, pages 93–99, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@inproceedings{schneider_parametric_2012,\n\ttitle = {The {Parametric} {Exploration} of {Spatial} {Properties}: {Coupling} parametric geometry modeling and graph-based spatial analysis},\n\tvolume = {44},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-61839-790-4},\n\turl = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84876513987&partnerID=tZOtx3y1},\n\tabstract = {Parametric modeling is a powerful tool that allows designers to explore a wide range of variants of their design concept. However, when evaluating the spatial properties of such variants, the tools for parametric modeling offer little support. While on the other hand a wide range of methods exists for analyzing geometry in terms of its spatial properties via graph-based-measures, the available software for analyzing these properties offers limited capabilities for changing the geometry. After analyzing the geometry, design changes then have to be made in another program, which hinders the design workflow and with it the desinger’s willingness to explore a wide range of variants. This paper describes an approach that attempts to bridge the gap between parametric geometry modeling and methods for measuring the spatial properties of this geometry. To this end we developed a component for a well-known parametric modeling software package for graph-based analysis. This component is able to interpret segment maps from parametric line drawings (e.g. urban networks) and calculates centrality (integration) and betweenness (choice) for different radii. We demonstrate the applicability of the method in a test scenario.},\n\tbooktitle = {Symposium on {Simulation} for {Architecture} and {Urban} {Design} ({SimAUD} 2012)},\n\tauthor = {Schneider, Sven and Bielik, Martin and Koenig, Reinhard},\n\tyear = {2012},\n\tkeywords = {Design process, Parametric modeling, Space syntax, Spatial analysis, Tool development, design process, parametric modeling, space syntax, spatial analysis, tool development},\n\tpages = {93--99},\n}\n\n
\n
\n\n\n
\n Parametric modeling is a powerful tool that allows designers to explore a wide range of variants of their design concept. However, when evaluating the spatial properties of such variants, the tools for parametric modeling offer little support. While on the other hand a wide range of methods exists for analyzing geometry in terms of its spatial properties via graph-based-measures, the available software for analyzing these properties offers limited capabilities for changing the geometry. After analyzing the geometry, design changes then have to be made in another program, which hinders the design workflow and with it the desinger’s willingness to explore a wide range of variants. This paper describes an approach that attempts to bridge the gap between parametric geometry modeling and methods for measuring the spatial properties of this geometry. To this end we developed a component for a well-known parametric modeling software package for graph-based analysis. This component is able to interpret segment maps from parametric line drawings (e.g. urban networks) and calculates centrality (integration) and betweenness (choice) for different radii. We demonstrate the applicability of the method in a test scenario.\n
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\n \n\n \n \n \n \n \n Investigating the impact of topological properties of two-dimensional layouts on aesthetic preference.\n \n \n \n\n\n \n Schneider, S.; Koenig, R.; and Knecht, K.\n\n\n \n\n\n\n In 22nd Biennial Congress of The International Association Empirical Aesthetics, 2012. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{schneider_investigating_2012,\n\ttitle = {Investigating the impact of topological properties of two-dimensional layouts on aesthetic preference},\n\tcopyright = {All rights reserved},\n\tabstract = {The starting point of this study is the hypothesis that aesthetic judgements about two-dimensional layouts indirectly inform how functional aspects are evaluated. To test this assumption we investigated whether there is a connection between the topological property of the “intelligibility” of two-dimensional layouts and their aesthetic evaluation. Intelligibility, a criterion from Space Syntax theory, can be regarded as a simplified measure of the functionality of a layout (it is commonly used as an indicator for ease of orientation in an urban layout). In an online survey we collected data from 62 test persons on the aesthetic judgement of different two-dimensional layouts. The analysis of the collected data has shown that, contrary to the hypothesis, no correlation could be found between intelligibility values and the aesthetic evaluation of the tested layouts.},\n\tbooktitle = {22nd {Biennial} {Congress} of {The} {International} {Association} {Empirical} {Aesthetics}},\n\tauthor = {Schneider, Sven and Koenig, Reinhard and Knecht, Katja},\n\tyear = {2012},\n\tkeywords = {Aesthetic, Graph, Kremlas, Topology, Visibility},\n}\n\n
\n
\n\n\n
\n The starting point of this study is the hypothesis that aesthetic judgements about two-dimensional layouts indirectly inform how functional aspects are evaluated. To test this assumption we investigated whether there is a connection between the topological property of the “intelligibility” of two-dimensional layouts and their aesthetic evaluation. Intelligibility, a criterion from Space Syntax theory, can be regarded as a simplified measure of the functionality of a layout (it is commonly used as an indicator for ease of orientation in an urban layout). In an online survey we collected data from 62 test persons on the aesthetic judgement of different two-dimensional layouts. The analysis of the collected data has shown that, contrary to the hypothesis, no correlation could be found between intelligibility values and the aesthetic evaluation of the tested layouts.\n
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\n \n\n \n \n \n \n \n Investigation of Cognitive Neighborhoodsize By Agent-Based Simulation.\n \n \n \n\n\n \n Steinhoefel, J.; Anders, F.; Kalisch, D.; Koehler, H.; and Koenig, R.\n\n\n \n\n\n\n In Troitzsch, K. G; Möhring, M.; and Lotzmann, U., editor(s), 26th European Conference on Modelling and Simulation, pages 7–7, 2012. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{steinhoefel_investigation_2012,\n\ttitle = {Investigation of {Cognitive} {Neighborhoodsize} {By} {Agent}-{Based} {Simulation}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-0-9564944-4-3},\n\tabstract = {Different social groups tend to settle in different parts of cities leading over time to social segregation. Neighborhood obviously plays an important role in this process – and what constitutes neighborhood is a cognitive notion. In segregation analysis neighborhood borders are often drawn arbitrarily or simple assumptions are used to weight neighbor influences. Some authors have developed ideas to overcome such approaches by more detailed models. In this work we investigate the size of a cognitive neighborhood on the base of a continuous, geographically unlimited definition of neighborhood, using a distance-dependent function as such neighborhood “size” definition. We use agent-based simulation of the choice of residence as our primary investigation tool. Tobler’s first law of geography tells us that close things are more related than far ones. Extrapolating this thought and applying it to the question discussed here one could expect that closer neighbors have – on their own and in sum – more influence than those living further apart. The “sum” in the last sentence would lead to a neighborhood weighting of less than the inverse square of distance. The results of this investigation confirm that this is the case.},\n\tbooktitle = {26th {European} {Conference} on {Modelling} and {Simulation}},\n\tauthor = {Steinhoefel, Jens and Anders, Frauke and Kalisch, Dominik and Koehler, Hermann and Koenig, Reinhard},\n\teditor = {Troitzsch, Klaus G and Möhring, Michael and Lotzmann, Ulf},\n\tyear = {2012},\n\tkeywords = {Agent-based simulation, Neighborhood, Segregation, Social sustainability, Urban planning, agent-based simulation, neighborhood, segregation, social sustainability, urban planning},\n\tpages = {7--7},\n}\n\n
\n
\n\n\n
\n Different social groups tend to settle in different parts of cities leading over time to social segregation. Neighborhood obviously plays an important role in this process – and what constitutes neighborhood is a cognitive notion. In segregation analysis neighborhood borders are often drawn arbitrarily or simple assumptions are used to weight neighbor influences. Some authors have developed ideas to overcome such approaches by more detailed models. In this work we investigate the size of a cognitive neighborhood on the base of a continuous, geographically unlimited definition of neighborhood, using a distance-dependent function as such neighborhood “size” definition. We use agent-based simulation of the choice of residence as our primary investigation tool. Tobler’s first law of geography tells us that close things are more related than far ones. Extrapolating this thought and applying it to the question discussed here one could expect that closer neighbors have – on their own and in sum – more influence than those living further apart. The “sum” in the last sentence would lead to a neighborhood weighting of less than the inverse square of distance. The results of this investigation confirm that this is the case.\n
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\n  \n 2011\n \n \n (17)\n \n \n
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\n \n\n \n \n \n \n \n \n A complexity perspective on collaborative decision making in organizations: The ecology of group-performance.\n \n \n \n \n\n\n \n Adler, B.; Baets, W.; and Koenig, R.\n\n\n \n\n\n\n Information & Management, 48(4-5): 157–165. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{adler_complexity_2011,\n\ttitle = {A complexity perspective on collaborative decision making in organizations: {The} ecology of group-performance},\n\tvolume = {48},\n\tcopyright = {All rights reserved},\n\turl = {http://linkinghub.elsevier.com/retrieve/pii/S0378720611000334},\n\tdoi = {10.1016/j.im.2011.04.002},\n\tabstract = {Networks of communication are essential when managing corporate work and performing information exchange; the systems must allow them to be dynamic and well-structured. They help provide high organizational performance and innovative capacity in today's knowledge intense corporations, and this means that organizations must manage the networks strategically. Despite the fact that practitioners are aware of the huge influence of informal communication on decision making, little is known about the underlying principles of efficient employee network collaboration, which is dynamic in nature, especially for complex environments resulting from steady innovation and high competitive pressure. We addressed this issue from a complexity perspective, using an agent based simulation to visualize the key elements of efficient, information-based, collaborative decision making. Our findings suggested that information and communication technologies (ICT) may not be able to leverage corporate performance of the increasingly complex adaptive organizations. There seem to be elementary natural constraints on the cognitive capacities of people dealing with and managing information. Rather than a better technical approach, a more ecologic one is therefore advocated as the best way to improve decision making.},\n\tnumber = {4-5},\n\tjournal = {Information \\& Management},\n\tauthor = {Adler, Bernd-Mathias and Baets, Walter and Koenig, Reinhard},\n\tyear = {2011},\n\tkeywords = {Agent based simulation, Complex adaptive systems, Emergent information management, Information ecology},\n\tpages = {157--165},\n}\n\n
\n
\n\n\n
\n Networks of communication are essential when managing corporate work and performing information exchange; the systems must allow them to be dynamic and well-structured. They help provide high organizational performance and innovative capacity in today's knowledge intense corporations, and this means that organizations must manage the networks strategically. Despite the fact that practitioners are aware of the huge influence of informal communication on decision making, little is known about the underlying principles of efficient employee network collaboration, which is dynamic in nature, especially for complex environments resulting from steady innovation and high competitive pressure. We addressed this issue from a complexity perspective, using an agent based simulation to visualize the key elements of efficient, information-based, collaborative decision making. Our findings suggested that information and communication technologies (ICT) may not be able to leverage corporate performance of the increasingly complex adaptive organizations. There seem to be elementary natural constraints on the cognitive capacities of people dealing with and managing information. Rather than a better technical approach, a more ecologic one is therefore advocated as the best way to improve decision making.\n
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\n \n\n \n \n \n \n \n \n Analyse und Generierung von Straßennetzwerken mittels graphenbasierter Methoden.\n \n \n \n \n\n\n \n Anders, F.; Koenig, R.; Donath, D; and Koenig, R\n\n\n \n\n\n\n Technical Report Bauhaus-Universität Weimar, Weimar, 2011.\n \n\n\n\n
\n\n\n\n \n \n \"AnalysePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n
@techreport{anders_analyse_2011,\n\taddress = {Weimar},\n\ttitle = {Analyse und {Generierung} von {Straßennetzwerken} mittels graphenbasierter {Methoden}},\n\tcopyright = {All rights reserved},\n\turl = {http://infar.architektur.uni-weimar.de/service/drupal-cms/node/533},\n\tabstract = {Der vorliegende Beitrag ist in zwei thematische Teilebereiche gegliedert. Der erste Teil be- schäftigt sich mit der Analyse von Graphen, insbesondere von Graphen, die Straßennetz- werke repräsentieren. Hierzu werden Methoden aus der Graphentheorie angewendet und Kenngrößen aus der Space Syntax Methode ausgewertet. Ein Framework, welches basie- rend auf der Graphentheorie in Architektur und Stadtplanung Einzug gehalten hat, ist die Space Syntax Methode. Sie umfasst die Ableitung unterschiedlicher Kenngrößen eines Gra- phen bzw. Netzwerkes, wodurch eine Analyse für architektonische und stadtplanerische Zwecke ermöglicht wird. Der zweite Teil dieses Berichts beschäftigt sich mit der Generierung von Graphen, insbe- sondere der von Straßennetzwerkgraphen. Die generativen Methoden basieren zum Teil auf den gewonnenen Erkenntnissen der Analyse von Straßennetzwerken. Es werden unter- schiedliche Ansätze untersucht, um verschiedene Parameterwerte zur Generierung von Straßengraphen festzulegen. Als Ergebnis der Arbeiten ist ein Softwaretool entstanden, welches es erlaubt, auf Grundlage einer Voronoi-Tesselierung realistische Straßennetzwerk- graphen zu erzeugen.},\n\tinstitution = {Bauhaus-Universität Weimar},\n\tauthor = {Anders, Frauke and Koenig, Reinhard and Donath, D and Koenig, R},\n\tyear = {2011},\n\tkeywords = {Graphentheorie, Softwareentwicklung, Straßennetzwerke},\n}\n\n
\n
\n\n\n
\n Der vorliegende Beitrag ist in zwei thematische Teilebereiche gegliedert. Der erste Teil be- schäftigt sich mit der Analyse von Graphen, insbesondere von Graphen, die Straßennetz- werke repräsentieren. Hierzu werden Methoden aus der Graphentheorie angewendet und Kenngrößen aus der Space Syntax Methode ausgewertet. Ein Framework, welches basie- rend auf der Graphentheorie in Architektur und Stadtplanung Einzug gehalten hat, ist die Space Syntax Methode. Sie umfasst die Ableitung unterschiedlicher Kenngrößen eines Gra- phen bzw. Netzwerkes, wodurch eine Analyse für architektonische und stadtplanerische Zwecke ermöglicht wird. Der zweite Teil dieses Berichts beschäftigt sich mit der Generierung von Graphen, insbe- sondere der von Straßennetzwerkgraphen. Die generativen Methoden basieren zum Teil auf den gewonnenen Erkenntnissen der Analyse von Straßennetzwerken. Es werden unter- schiedliche Ansätze untersucht, um verschiedene Parameterwerte zur Generierung von Straßengraphen festzulegen. Als Ergebnis der Arbeiten ist ein Softwaretool entstanden, welches es erlaubt, auf Grundlage einer Voronoi-Tesselierung realistische Straßennetzwerk- graphen zu erzeugen.\n
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\n \n\n \n \n \n \n \n Augmented Urban Model: Bridging the Gap between Virtual and Physical Models to Support Urban Design.\n \n \n \n\n\n \n Knecht, K.; and Koenig, R.\n\n\n \n\n\n\n In Bargstädt, H.; and Ailland, K., editor(s), CONVR 2011 - 11th International Conference on Construction Applications of Virtual Reality, pages 142–152, 2011. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@inproceedings{knecht_augmented_2011,\n\ttitle = {Augmented {Urban} {Model}: {Bridging} the {Gap} between {Virtual} and {Physical} {Models} to {Support} {Urban} {Design}},\n\tcopyright = {All rights reserved},\n\tabstract = {In architecture and urban planning physical and digital models fulfil different tasks and functions{\\textbackslash}nwithin the design process and are not directly connected. This is due to their largely complementary{\\textbackslash}ncharacteristics and qualities. Whereas physical models are primarily used as a design tool and to represent{\\textbackslash}nand communicate a design, digital models also support the evaluation of a design by employing computer-{\\textbackslash}naided analysis and simulation techniques.{\\textbackslash}nWithin the scope of the presented work we analysed the use of the model as an analogue and digital{\\textbackslash}ndesign tool as well as its importance for the work process. In addition, we examined existing tangible user{\\textbackslash}ninterfaces from the field of architecture and urban design. Based on early projects and approaches in this{\\textbackslash}narea such as the metaDESK by Ullmer and Ishii and the Urban Planning Tool Urp by Underkoffler and Ishii{\\textbackslash}nwe developed a prototype application, the Augmented Urban Model.{\\textbackslash}nThe Augmented Urban Model aims to bridge the gap between physical and digital models and their usage{\\textbackslash}nin urban design and planning. The objective is furthermore to create a tangible user interface which facilitates{\\textbackslash}ninteraction with and manipulation of digital data in real space. It combines the qualities of physical{\\textbackslash}nand digital models in the work process to facilitate the handling of digital applications and transfers digital{\\textbackslash}ndata into a spatial context by augmenting the physical model with digital information.{\\textbackslash}nThe Augmented Urban Model was realised using current technologies, such as a back projection table and{\\textbackslash}nconventional consumer electronics, which enabled us to use and process non-predefined model elements.},\n\tbooktitle = {{CONVR} 2011 - 11th {International} {Conference} on {Construction} {Applications} of {Virtual} {Reality}},\n\tauthor = {Knecht, Katja and Koenig, Reinhard},\n\teditor = {Bargstädt, H.-J. and Ailland, K.},\n\tyear = {2011},\n\tkeywords = {architecture, physical and digital models, simulation, tangible user interface, urban planning},\n\tpages = {142--152},\n}\n\n
\n
\n\n\n
\n In architecture and urban planning physical and digital models fulfil different tasks and functions\\nwithin the design process and are not directly connected. This is due to their largely complementary\\ncharacteristics and qualities. Whereas physical models are primarily used as a design tool and to represent\\nand communicate a design, digital models also support the evaluation of a design by employing computer-\\naided analysis and simulation techniques.\\nWithin the scope of the presented work we analysed the use of the model as an analogue and digital\\ndesign tool as well as its importance for the work process. In addition, we examined existing tangible user\\ninterfaces from the field of architecture and urban design. Based on early projects and approaches in this\\narea such as the metaDESK by Ullmer and Ishii and the Urban Planning Tool Urp by Underkoffler and Ishii\\nwe developed a prototype application, the Augmented Urban Model.\\nThe Augmented Urban Model aims to bridge the gap between physical and digital models and their usage\\nin urban design and planning. The objective is furthermore to create a tangible user interface which facilitates\\ninteraction with and manipulation of digital data in real space. It combines the qualities of physical\\nand digital models in the work process to facilitate the handling of digital applications and transfers digital\\ndata into a spatial context by augmenting the physical model with digital information.\\nThe Augmented Urban Model was realised using current technologies, such as a back projection table and\\nconventional consumer electronics, which enabled us to use and process non-predefined model elements.\n
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\n \n\n \n \n \n \n \n \n An agent-based simulation to show the effects of the size of a city on the socio-spatial organisation of its population.\n \n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n In Koch, A; and Mandl, P, editor(s), Modeling and Simulating Urban Processes. LIT Verlag, Münster, Geosimulat edition, 2011.\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@incollection{koenig_agent-based_2011,\n\taddress = {Münster},\n\tedition = {Geosimulat},\n\ttitle = {An agent-based simulation to show the effects of the size of a city on the socio-spatial organisation of its population},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-643-50036-6},\n\turl = {http://www.lit-verlag.de/isbn/3-643-50036-6},\n\tabstract = {In the present study we emanate from the thesis that the size of a settlement has an essential effect on the socio-spatial organisation respectively the residential segregation of its population. To verify this thesis the city´s spatial development structure from the streets via the buildings to the flats is represented as graph. This model city enables the investigation of every possible spatial configuration. On the basis of the graph an agent based segregation model is introduced. For the simulation of the residential segregation the households are represented by agents that try to get a flat with a neighbourhood as good as possible. Altogether the results of the model analysis show that there are relevant effects of the size of a settlement on the socio-spatial organisation of the population, if the tolerance thresholds of the population are in a critical area. A critical area refers to the area of tolerance thresholds within which a small change causes a relatively large effect on the segregation of the population. Within the critical areas a positive relationship between the size of a city and the segregation of the population can be shown. This relationship is enforced if the density of the settlement increases. In the model a higher density can be represented for example with more houses per street or more flats per house.},\n\tbooktitle = {Modeling and {Simulating} {Urban} {Processes}},\n\tpublisher = {LIT Verlag},\n\tauthor = {Koenig, Reinhard},\n\teditor = {Koch, A and Mandl, P},\n\tyear = {2011},\n}\n\n
\n
\n\n\n
\n In the present study we emanate from the thesis that the size of a settlement has an essential effect on the socio-spatial organisation respectively the residential segregation of its population. To verify this thesis the city´s spatial development structure from the streets via the buildings to the flats is represented as graph. This model city enables the investigation of every possible spatial configuration. On the basis of the graph an agent based segregation model is introduced. For the simulation of the residential segregation the households are represented by agents that try to get a flat with a neighbourhood as good as possible. Altogether the results of the model analysis show that there are relevant effects of the size of a settlement on the socio-spatial organisation of the population, if the tolerance thresholds of the population are in a critical area. A critical area refers to the area of tolerance thresholds within which a small change causes a relatively large effect on the segregation of the population. Within the critical areas a positive relationship between the size of a city and the segregation of the population can be shown. This relationship is enforced if the density of the settlement increases. In the model a higher density can be represented for example with more houses per street or more flats per house.\n
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\n \n\n \n \n \n \n \n Generating urban structures: A method for urban planning supported by multi-agent systems and cellular automata.\n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n Technical Report 3, Bauhaus-Universität Weimar, Weimar, 2011.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@techreport{koenig_generating_2011,\n\taddress = {Weimar},\n\ttype = {Working {Paper}},\n\ttitle = {Generating urban structures: {A} method for urban planning supported by multi-agent systems and cellular automata},\n\tcopyright = {All rights reserved},\n\tabstract = {This work is based on the concept that the structure of a city can be defined by six basic urban patterns. To enable more complex urban planning as a long-term objective I have developed a simulation method for generating these basic patterns and for combining them to form various structures. The generative process starts with the two-dimensional organi- sation of streets followed by the parceling of the remaining areas. An agent-based diffu- sion-contact model is the basis of these first two steps. Then, with the help of cellular au- tomata, the sites for building on are defined and a three-dimensional building structure is derived. I illustrate the proposed method by showing how it can be applied to generate possible structures for an urban area in the city of Munich. Keywords:},\n\tnumber = {3},\n\tinstitution = {Bauhaus-Universität Weimar},\n\tauthor = {Koenig, Reinhard},\n\tyear = {2011},\n\tkeywords = {cellular automata, diffusion lim- ited aggregation, diffusion-contact model, generative design system, multi-agent systems, urban modeling},\n}\n\n
\n
\n\n\n
\n This work is based on the concept that the structure of a city can be defined by six basic urban patterns. To enable more complex urban planning as a long-term objective I have developed a simulation method for generating these basic patterns and for combining them to form various structures. The generative process starts with the two-dimensional organi- sation of streets followed by the parceling of the remaining areas. An agent-based diffu- sion-contact model is the basis of these first two steps. Then, with the help of cellular au- tomata, the sites for building on are defined and a three-dimensional building structure is derived. I illustrate the proposed method by showing how it can be applied to generate possible structures for an urban area in the city of Munich. Keywords:\n
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\n \n\n \n \n \n \n \n Generative planning methods from a structuralist perspective.\n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n In Valena, T; Avermaete, T; and Vrachliotis, G, editor(s), Structuralism Reloaded: Rule-Based Design in Architecture and Urbanism, pages 275–280. Axel Menges, Stuttgart/London, 2011.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{koenig_generative_2011,\n\taddress = {Stuttgart/London},\n\ttitle = {Generative planning methods from a structuralist perspective},\n\tcopyright = {All rights reserved},\n\tabstract = {When considering the question of a relationship between structuralism and generative algorithmic planning methods, we first need to clarify what we mean by structuralism in architecture. There is, unfortunately, no clearly defined terminological framework to aid clarification. Structuralism in architecture is often regarded as formal phenomena and accordingly reduced to stylistic aspects. The following essay is not about the styles and manifestation of structuralism in architecture but instead concentrates on examining structuralist design methods and their relationship and relevance for algorithmic techniques, with particular emphasis on the interaction between rule-based and intuitive approaches in the design process.},\n\tbooktitle = {Structuralism {Reloaded}: {Rule}-{Based} {Design} in {Architecture} and {Urbanism}},\n\tpublisher = {Axel Menges},\n\tauthor = {Koenig, Reinhard},\n\teditor = {Valena, T and Avermaete, T and Vrachliotis, G},\n\tyear = {2011},\n\tpages = {275--280},\n}\n\n
\n
\n\n\n
\n When considering the question of a relationship between structuralism and generative algorithmic planning methods, we first need to clarify what we mean by structuralism in architecture. There is, unfortunately, no clearly defined terminological framework to aid clarification. Structuralism in architecture is often regarded as formal phenomena and accordingly reduced to stylistic aspects. The following essay is not about the styles and manifestation of structuralism in architecture but instead concentrates on examining structuralist design methods and their relationship and relevance for algorithmic techniques, with particular emphasis on the interaction between rule-based and intuitive approaches in the design process.\n
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\n \n\n \n \n \n \n \n Algorithmic Architecture: Arbeiten zu parametrischen Entwurfsmethoden an der Bauhaus-Universität Weimar.\n \n \n \n\n\n \n Koenig, R.; and Geddert, F.\n\n\n \n\n\n\n Books on Demand, Weimar, 2011.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@book{koenig_algorithmic_2011,\n\taddress = {Weimar},\n\ttitle = {Algorithmic {Architecture}: {Arbeiten} zu parametrischen {Entwurfsmethoden} an der {Bauhaus}-{Universität} {Weimar}},\n\tcopyright = {All rights reserved},\n\tisbn = {3842341482 Pick It!},\n\tabstract = {Das vorliegende Buch dokumentiert verschiedene studentische Arbeiten, die im Rahmen zweier Seminare mit dem Titel „Algorith- mic Architecture“ von 2009 bis 2010 an der Professur Informatik in der Architektur an der Bauhaus-Universität Weimar entstanden sind. Die Lehrveranstaltungen wurden konzipiert, um den aktuellen Entwicklungen im Bereich des parametrischen Entwerfens in der Architektur Rechnung zu tragen. Die dargestellten Projekte zeigen, wie sich mittels einfacher formaler Regeln auf spielerische Art und Weise komplizierte geometrische Strukturen erzeugen lassen, die sich durch eine besondere Ästhetik auszeichnen.},\n\tpublisher = {Books on Demand},\n\tauthor = {Koenig, Reinhard and Geddert, Florian},\n\tyear = {2011},\n\tkeywords = {algorithmische Architektur, parametrisches Entwerfen},\n}\n\n
\n
\n\n\n
\n Das vorliegende Buch dokumentiert verschiedene studentische Arbeiten, die im Rahmen zweier Seminare mit dem Titel „Algorith- mic Architecture“ von 2009 bis 2010 an der Professur Informatik in der Architektur an der Bauhaus-Universität Weimar entstanden sind. Die Lehrveranstaltungen wurden konzipiert, um den aktuellen Entwicklungen im Bereich des parametrischen Entwerfens in der Architektur Rechnung zu tragen. Die dargestellten Projekte zeigen, wie sich mittels einfacher formaler Regeln auf spielerische Art und Weise komplizierte geometrische Strukturen erzeugen lassen, die sich durch eine besondere Ästhetik auszeichnen.\n
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\n \n\n \n \n \n \n \n Generierung von Grundriss-Layouts mittels hybrider Evolutions-Strategie.\n \n \n \n\n\n \n Koenig, R.; Koenig, R; and Donath, D\n\n\n \n\n\n\n Technical Report Bauhaus-Universität Weimar, Weimar, 2011.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@techreport{koenig_generierung_2011,\n\taddress = {Weimar},\n\ttitle = {Generierung von {Grundriss}-{Layouts} mittels hybrider {Evolutions}-{Strategie}},\n\tcopyright = {All rights reserved},\n\tabstract = {Der vorliegende Text beschreibt ein computerbasiertes Verfahren zur Lösung von Layout- problemen in Architektur und Städtebau, welches mit möglichst wenig Problemwissen aus- kommt und schnell brauchbare Ergebnisse liefert, die durch schrittweises Hinzufügen von Problemwissen interaktiv weiter ausgearbeitet werden können. Für das generative Verfah- ren wurde eine Evolutions-Strategie verwendet, die mit Mechanismen zur Kollisionserken- nung und virtuellen Federn zu einem hybriden Algorithmus kombiniert wurde. Dieser dient erstens der Lösung des Problems der Dichten Packung von Rechtecken sowie zweitens der Herstellung bestimmter topologischer Beziehungen zwischen diesen Rechtecken. Die Bear- beitung beider Probleme wird durch schrittweise Erweiterung grundlegender Verfahren untersucht, wobei die einzelnen Schritte anhand von Performancetests miteinander vergli- chen werden. Am Ende wird ein iterativer Algorithmus vorgestellt, der einerseits optimale Lösungen garantiert und andererseits diese Lösungen in einer für eine akzeptable Nutzerin- teraktion ausreichenden Geschwindigkeit generiert. Keywords:},\n\tinstitution = {Bauhaus-Universität Weimar},\n\tauthor = {Koenig, Reinhard and Koenig, R and Donath, D},\n\tyear = {2011},\n\tkeywords = {Computational Design, Dich- te Packung, Evolutions-Strategie, Grundrissgenerierung, Kollisionserkennung, Kremlas, Multikriterielle Optimierung},\n}\n\n
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\n Der vorliegende Text beschreibt ein computerbasiertes Verfahren zur Lösung von Layout- problemen in Architektur und Städtebau, welches mit möglichst wenig Problemwissen aus- kommt und schnell brauchbare Ergebnisse liefert, die durch schrittweises Hinzufügen von Problemwissen interaktiv weiter ausgearbeitet werden können. Für das generative Verfah- ren wurde eine Evolutions-Strategie verwendet, die mit Mechanismen zur Kollisionserken- nung und virtuellen Federn zu einem hybriden Algorithmus kombiniert wurde. Dieser dient erstens der Lösung des Problems der Dichten Packung von Rechtecken sowie zweitens der Herstellung bestimmter topologischer Beziehungen zwischen diesen Rechtecken. Die Bear- beitung beider Probleme wird durch schrittweise Erweiterung grundlegender Verfahren untersucht, wobei die einzelnen Schritte anhand von Performancetests miteinander vergli- chen werden. Am Ende wird ein iterativer Algorithmus vorgestellt, der einerseits optimale Lösungen garantiert und andererseits diese Lösungen in einer für eine akzeptable Nutzerin- teraktion ausreichenden Geschwindigkeit generiert. Keywords:\n
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\n \n\n \n \n \n \n \n MediaArchitecture.\n \n \n \n\n\n \n Koenig, R.; and Zierold, S.\n\n\n \n\n\n\n Books on Demand GmbH, Norderstadt, 2011.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@book{koenig_mediaarchitecture_2011,\n\taddress = {Norderstadt},\n\ttitle = {{MediaArchitecture}},\n\tcopyright = {All rights reserved},\n\tabstract = {Die in dem vorliegenden Buch vorgestellten Arbeiten behandeln mediale Transformationen, deren Gegenstand vom konkreten architektonischen Artefakt bis hin zu abstrakten medialen Prozessen reicht. Transformation bezeichnet allgemein die Veränderung der Gestalt, Form oder Struktur im Möglichkeitsraum eines Mediums. Das Projektmodul setzt sich aus drei Teilen zusammen. In jedem Teil wird von zwei Professoren der Medien- und Architekturfakultät eine interdisziplinär angelegte Aufgabe hinsichtlich verschiedener theoretischer und entwurfspraktischer Schwerpunkte betreut.},\n\tpublisher = {Books on Demand GmbH},\n\tauthor = {Koenig, Reinhard and Zierold, Sabine},\n\tyear = {2011},\n}\n\n
\n
\n\n\n
\n Die in dem vorliegenden Buch vorgestellten Arbeiten behandeln mediale Transformationen, deren Gegenstand vom konkreten architektonischen Artefakt bis hin zu abstrakten medialen Prozessen reicht. Transformation bezeichnet allgemein die Veränderung der Gestalt, Form oder Struktur im Möglichkeitsraum eines Mediums. Das Projektmodul setzt sich aus drei Teilen zusammen. In jedem Teil wird von zwei Professoren der Medien- und Architekturfakultät eine interdisziplinär angelegte Aufgabe hinsichtlich verschiedener theoretischer und entwurfspraktischer Schwerpunkte betreut.\n
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\n \n\n \n \n \n \n \n \n Rethinking Automated Layout Design: Developing a Creative Evolutionary Design Method for the Layout Problems in Architecture and Urban Design.\n \n \n \n \n\n\n \n Schneider, S.; Fischer, J.; and Koenig, R.\n\n\n \n\n\n\n In Gero, J. S, editor(s), Design Computing and Cognition ’10, pages 367–386, 2011. Springer Netherlands\n \n\n\n\n
\n\n\n\n \n \n \"RethinkingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{schneider_rethinking_2011,\n\ttitle = {Rethinking {Automated} {Layout} {Design}: {Developing} a {Creative} {Evolutionary} {Design} {Method} for the {Layout} {Problems} in {Architecture} and {Urban} {Design}.},\n\tcopyright = {All rights reserved},\n\tisbn = {978-94-007-0509-8},\n\turl = {http://dx.doi.org/10.1007/978-94-007-0510-4_20},\n\tabstract = {The research project presented in this paper deals with the development of a creative evolutionary design methodology for layout problems in architecture and urban planning. To date many optimisation techniques for layout problems have already been developed. The first attempts to automate layout were undertaken back in the early 1960s. Since then, these ideas have been taken forward in various different manifestations, for example shape grammars, CBS, cellular automata and evolutionary approaches. These projects, however, are mostly restricted to very specific fields or neglect the creative, designerly component. Since pure optimisation methods are of little practical use for design purposes, there have been no useful attempts to derive a universally applicable method for computer aided layout design. For this we need to be aware that designing is a process that occurs at different levels and degrees of abstraction. The solution space is explored in the realm between intuition and rationality in a variety of ways. Good solutions can only arise through an intensive and fluid dialogue between the designer and the generating system. The goal of our project is to develop an adaptive design system for layout problems. To this end we examine different approaches to achieving the best possible general applicability of such a system and discuss criteria that are crucial for the development of such systems.},\n\tbooktitle = {Design {Computing} and {Cognition} ’10},\n\tpublisher = {Springer Netherlands},\n\tauthor = {Schneider, Sven and Fischer, Jan-Ruben and Koenig, Reinhard},\n\teditor = {Gero, John S},\n\tyear = {2011},\n\tpages = {367--386},\n}\n\n
\n
\n\n\n
\n The research project presented in this paper deals with the development of a creative evolutionary design methodology for layout problems in architecture and urban planning. To date many optimisation techniques for layout problems have already been developed. The first attempts to automate layout were undertaken back in the early 1960s. Since then, these ideas have been taken forward in various different manifestations, for example shape grammars, CBS, cellular automata and evolutionary approaches. These projects, however, are mostly restricted to very specific fields or neglect the creative, designerly component. Since pure optimisation methods are of little practical use for design purposes, there have been no useful attempts to derive a universally applicable method for computer aided layout design. For this we need to be aware that designing is a process that occurs at different levels and degrees of abstraction. The solution space is explored in the realm between intuition and rationality in a variety of ways. Good solutions can only arise through an intensive and fluid dialogue between the designer and the generating system. The goal of our project is to develop an adaptive design system for layout problems. To this end we examine different approaches to achieving the best possible general applicability of such a system and discuss criteria that are crucial for the development of such systems.\n
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\n \n\n \n \n \n \n \n Interaktion bei der computergestützten Generierung von Layouts.\n \n \n \n\n\n \n Schneider, S.; Koenig, R.; Donath, D; and Koenig, R\n\n\n \n\n\n\n Technical Report Bauhaus-Universität Weimar, Weimar, 2011.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@techreport{schneider_interaktion_2011,\n\taddress = {Weimar},\n\ttitle = {Interaktion bei der computergestützten {Generierung} von {Layouts}},\n\tcopyright = {All rights reserved},\n\tabstract = {Das vorliegende Arbeitspapier beschäftigt sich mit der Thematik der Nutzerinteraktion bei computerbasierten generativen Systemen. Zunächst wird erläutert, warum es notwendig ist, den Nutzer eines solchen Systems in den Generierungsprozess zu involvieren. Darauf auf- bauend werden Anforderungen an ein interaktives generatives System formuliert. Anhand eines Systems zur Generierung von Layouts werden Methoden diskutiert, um diesen Anfor- derungen gerecht zu werden. Es wird gezeigt, dass sich insbesondere evolutionäre Algo- rithmen für ein interaktives entwurfsunterstützendes System eignen. Es wird kurz beschrie- ben, wie sich Layoutprobleme durch eine evolutionäre Strategie lösen lassen. Abschließend werden Fragen bezüglich der grafischen Darstellung von Layoutlösungen und der Interakti- on mit dem Dargestellten diskutiert.},\n\tinstitution = {Bauhaus-Universität Weimar},\n\tauthor = {Schneider, Sven and Koenig, Reinhard and Donath, D and Koenig, R},\n\tyear = {2011},\n\tkeywords = {Entwurfswerkeugentwicklung, Evoluti- onäre Algorithmen, interaktive generative Entwurfssysteme},\n}\n\n
\n
\n\n\n
\n Das vorliegende Arbeitspapier beschäftigt sich mit der Thematik der Nutzerinteraktion bei computerbasierten generativen Systemen. Zunächst wird erläutert, warum es notwendig ist, den Nutzer eines solchen Systems in den Generierungsprozess zu involvieren. Darauf auf- bauend werden Anforderungen an ein interaktives generatives System formuliert. Anhand eines Systems zur Generierung von Layouts werden Methoden diskutiert, um diesen Anfor- derungen gerecht zu werden. Es wird gezeigt, dass sich insbesondere evolutionäre Algo- rithmen für ein interaktives entwurfsunterstützendes System eignen. Es wird kurz beschrie- ben, wie sich Layoutprobleme durch eine evolutionäre Strategie lösen lassen. Abschließend werden Fragen bezüglich der grafischen Darstellung von Layoutlösungen und der Interakti- on mit dem Dargestellten diskutiert.\n
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\n \n\n \n \n \n \n \n Evolutionäre Generierung von Grundriss-Layouts mithilfe von Unterteilungsalgorithmen.\n \n \n \n\n\n \n Knecht, K.; Koenig, R.; Donath, D; and Koenig, R\n\n\n \n\n\n\n Technical Report Bauhaus-Universität Weimar, Weimar, 2011.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@techreport{knecht_evolutionare_2011,\n\taddress = {Weimar},\n\ttitle = {Evolutionäre {Generierung} von {Grundriss}-{Layouts} mithilfe von {Unterteilungsalgorithmen}},\n\tcopyright = {All rights reserved},\n\tabstract = {Das Unterteilen einer vorgegebenen Grundfläche in Zonen und Räume ist eine im Architek- turentwurf häufig eingesetzte Methode zur Grundrissentwicklung. Für deren Automatisie- rung können Unterteilungsalgorithmen betrachtet werden, die einen vorgegebenen, mehr- dimensionalen Raum nach einer festgelegten Regel unterteilen. Neben dem Einsatz in der Computergrafik zur Polygondarstellung und im Floorplanning zur Optimierung von Plati- nen-, Chip- und Anlagenlayouts finden Unterteilungsalgorithmen zunehmend Anwendung bei der automatischen Generierung von Stadt- und Gebäudegrundrissen, insbesondere in Computerspielen. Im Rahmen des Forschungsprojekts Kremlas wurde das gestalterische und generative Po- tential von Unterteilungsalgorithmen im Hinblick auf architektonische Fragestellungen und ihre Einsatzmöglichkeiten zur Entwicklung einer kreativen evolutionären Entwurfsmethode zur Lösung von Layoutproblemen in Architektur und Städtebau untersucht. Es entstand ein generativer Mechanismus, der eine Unterteilungsfolge zufällig erstellt und Grundrisse mit einer festgelegten Anzahl an Räumen mit bestimmter Raumgröße durch Unterteilung gene- riert. In Kombination mit evolutionären Algorithmen lassen sich die erhaltenen Layoutlö- sungen zudem hinsichtlich architektonisch relevanter Kriterien optimieren, für die im vor- liegenden Fall Nachbarschaftsbeziehungen zwischen einzelnen Räumen betrachtet wurden. Keywords:},\n\tinstitution = {Bauhaus-Universität Weimar},\n\tauthor = {Knecht, Katja and Koenig, Reinhard and Donath, D and Koenig, R},\n\tyear = {2011},\n\tkeywords = {Computational Design, Evolutionäre Algorithmen, Genetische Al- gorithmen, Genetische Programmierung, Grundrissgenerierung, Optimierung, Unterteilungsalgorithmen},\n}\n\n
\n
\n\n\n
\n Das Unterteilen einer vorgegebenen Grundfläche in Zonen und Räume ist eine im Architek- turentwurf häufig eingesetzte Methode zur Grundrissentwicklung. Für deren Automatisie- rung können Unterteilungsalgorithmen betrachtet werden, die einen vorgegebenen, mehr- dimensionalen Raum nach einer festgelegten Regel unterteilen. Neben dem Einsatz in der Computergrafik zur Polygondarstellung und im Floorplanning zur Optimierung von Plati- nen-, Chip- und Anlagenlayouts finden Unterteilungsalgorithmen zunehmend Anwendung bei der automatischen Generierung von Stadt- und Gebäudegrundrissen, insbesondere in Computerspielen. Im Rahmen des Forschungsprojekts Kremlas wurde das gestalterische und generative Po- tential von Unterteilungsalgorithmen im Hinblick auf architektonische Fragestellungen und ihre Einsatzmöglichkeiten zur Entwicklung einer kreativen evolutionären Entwurfsmethode zur Lösung von Layoutproblemen in Architektur und Städtebau untersucht. Es entstand ein generativer Mechanismus, der eine Unterteilungsfolge zufällig erstellt und Grundrisse mit einer festgelegten Anzahl an Räumen mit bestimmter Raumgröße durch Unterteilung gene- riert. In Kombination mit evolutionären Algorithmen lassen sich die erhaltenen Layoutlö- sungen zudem hinsichtlich architektonisch relevanter Kriterien optimieren, für die im vor- liegenden Fall Nachbarschaftsbeziehungen zwischen einzelnen Räumen betrachtet wurden. Keywords:\n
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\n \n\n \n \n \n \n \n \n Cellular-automata-based simulation of the settlement development in Vienna.\n \n \n \n \n\n\n \n Koenig, R.; and Mueller, D.\n\n\n \n\n\n\n In Salcido, A., editor(s), Cellular Automata: Simplicity behind Complexity, pages 23–46. INTECH, Vienna, 2011.\n \n\n\n\n
\n\n\n\n \n \n \"Cellular-automata-basedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{koenig_cellular-automata-based_2011,\n\taddress = {Vienna},\n\ttitle = {Cellular-automata-based simulation of the settlement development in {Vienna}},\n\tcopyright = {All rights reserved},\n\turl = {http://www.intechopen.com/articles/show/title/cellular-automata-based-simulation-of-the-settlement-development-in-vienna},\n\tbooktitle = {Cellular {Automata}: {Simplicity} behind {Complexity}},\n\tpublisher = {INTECH},\n\tauthor = {Koenig, Reinhard and Mueller, Daniela},\n\teditor = {Salcido, Alejandro},\n\tyear = {2011},\n\tpages = {23--46},\n}\n\n
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\n \n\n \n \n \n \n \n Entwerfen Versionieren: Probleme und Lösungsansätze für die Organisation verteilter Entwurfsprozesse.\n \n \n \n\n\n \n Schneider, S.; Braunes, J; Thurow, T; Koenig, R.; Tonn, C; Donath, D; and Koenig, R\n\n\n \n\n\n\n Technical Report Bauhaus-Universität Weimar, Weimar, 2011.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@techreport{schneider_entwerfen_2011,\n\taddress = {Weimar},\n\ttitle = {Entwerfen {Versionieren}: {Probleme} und {Lösungsansätze} für die {Organisation} verteilter {Entwurfsprozesse}},\n\tcopyright = {All rights reserved},\n\tabstract = {Entwerfen ist ein komplexer Vorgang. Soll dieser Vorgang nicht allein, sondern räumlich verteilt mit mehreren Beteiligten gemeinsam stattfinden, so sind digitale Werkzeuge zur Unterstützung dieses Prozesses unumgänglich. Die Verwendung von Werkzeugen für Ent- wurfsprozesse bedeutet jedoch immer auch eine Manipulation des zu unterstützenden Pro- zesses selbst. Im Falle von Werkzeugen zur Unterstützung der Kollaboration mehrerer Be- teiligter stellen die implementierten Koordinationsmechanismen solche prozessbeeinflus- senden Faktoren dar. Damit diese Mechanismen, entsprechend der Charakteristika kreati- ver Prozesse, so flexibel wie möglich gestaltet werden können, liegt die Anforderung auf technischer Ebene darin, ein geeignetes Konzept für eine nachvollziehbare Speicherung (Versionierung) der stattfindenden Entwurfshandlungen zu schaffen. Der vorliegende Artikel beschäftigt sich mit dem Thema der Entwurfsversionierung in com- putergestützten kollaborativen Arbeitsumgebungen. Vor dem Hintergrund, dass die Versio- nierung den kreativen Entwurfsprozess möglichst wenig manipulieren soll, werden techni- sche sowie konzeptionelle Probleme der diskutiert und Lösungsansätze für diese vorge- stellt.},\n\tinstitution = {Bauhaus-Universität Weimar},\n\tauthor = {Schneider, Sven and Braunes, J and Thurow, T and Koenig, Reinhard and Tonn, C and Donath, D and Koenig, R},\n\tyear = {2011},\n\tkeywords = {Freac, Kollaboratives Entwerfen, Versionierung, computerbasierte Entwurfsprozesse, digitale Produktmodellierung},\n}\n\n
\n
\n\n\n
\n Entwerfen ist ein komplexer Vorgang. Soll dieser Vorgang nicht allein, sondern räumlich verteilt mit mehreren Beteiligten gemeinsam stattfinden, so sind digitale Werkzeuge zur Unterstützung dieses Prozesses unumgänglich. Die Verwendung von Werkzeugen für Ent- wurfsprozesse bedeutet jedoch immer auch eine Manipulation des zu unterstützenden Pro- zesses selbst. Im Falle von Werkzeugen zur Unterstützung der Kollaboration mehrerer Be- teiligter stellen die implementierten Koordinationsmechanismen solche prozessbeeinflus- senden Faktoren dar. Damit diese Mechanismen, entsprechend der Charakteristika kreati- ver Prozesse, so flexibel wie möglich gestaltet werden können, liegt die Anforderung auf technischer Ebene darin, ein geeignetes Konzept für eine nachvollziehbare Speicherung (Versionierung) der stattfindenden Entwurfshandlungen zu schaffen. Der vorliegende Artikel beschäftigt sich mit dem Thema der Entwurfsversionierung in com- putergestützten kollaborativen Arbeitsumgebungen. Vor dem Hintergrund, dass die Versio- nierung den kreativen Entwurfsprozess möglichst wenig manipulieren soll, werden techni- sche sowie konzeptionelle Probleme der diskutiert und Lösungsansätze für diese vorge- stellt.\n
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\n \n\n \n \n \n \n \n Design Versioning: Problems and possible solutions for the automatic management of distributed design processes.\n \n \n \n\n\n \n Schneider, S.; Braunes, J.; Thurow, T.; and Koenig, R.\n\n\n \n\n\n\n In CAAD Futures: Designing Together, 2011. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{schneider_design_2011,\n\ttitle = {Design {Versioning}: {Problems} and possible solutions for the automatic management of distributed design processes},\n\tcopyright = {All rights reserved},\n\tabstract = {Designing is a complex process. Where this process involves multiple participants located in different places, digital tools for supporting this process are indispensable. However, the use and creation of tools for supporting design processes necessary entails intervening in or manipulating the process it intends to support. For design collaboration tools the coordination mechanisms employed are a crucial aspect. To make these mechanisms as flexible as possible, the technical challenge lies in devising an adequate concept for storing the actions that happen during designing. This paper deals with the issue of versioning in computer-supported collaborative design environments. The paper examines the technical and conceptual problems of versioning and discusses possible solutions.},\n\tbooktitle = {{CAAD} {Futures}: {Designing} {Together}},\n\tauthor = {Schneider, Sven and Braunes, Jörg and Thurow, Torsten and Koenig, Reinhard},\n\tyear = {2011},\n\tkeywords = {freac},\n}\n\n
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\n Designing is a complex process. Where this process involves multiple participants located in different places, digital tools for supporting this process are indispensable. However, the use and creation of tools for supporting design processes necessary entails intervening in or manipulating the process it intends to support. For design collaboration tools the coordination mechanisms employed are a crucial aspect. To make these mechanisms as flexible as possible, the technical challenge lies in devising an adequate concept for storing the actions that happen during designing. This paper deals with the issue of versioning in computer-supported collaborative design environments. The paper examines the technical and conceptual problems of versioning and discusses possible solutions.\n
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\n \n\n \n \n \n \n \n Visibility-based Floor Plan Design: The Automatic Generation of Floor Plans based on Isovist Properties.\n \n \n \n\n\n \n Schneider, S.; and Koenig, R.\n\n\n \n\n\n\n In Symposium Spatial Cognition for Architectural Design (SCAD 11), 2011. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@inproceedings{schneider_visibility-based_2011,\n\ttitle = {Visibility-based {Floor} {Plan} {Design}: {The} {Automatic} {Generation} of {Floor} {Plans} based on {Isovist} {Properties}},\n\tcopyright = {All rights reserved},\n\tabstract = {This article addresses the computer-based generation of spatial configurations. It examines how visibility properties can be integrated into the generation of layouts. For this purpose two different experimental approaches are presented. Both approaches are discussed with respect to their potential for the future development of automated floor plan generation based on the experiential qualities of space.},\n\tbooktitle = {Symposium {Spatial} {Cognition} for {Architectural} {Design} ({SCAD} 11)},\n\tauthor = {Schneider, Sven and Koenig, Reinhard},\n\tyear = {2011},\n\tkeywords = {Evolutionary Algorithms, Generative Design Methods, Isovists, Spatial Configuration},\n}\n\n
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\n This article addresses the computer-based generation of spatial configurations. It examines how visibility properties can be integrated into the generation of layouts. For this purpose two different experimental approaches are presented. Both approaches are discussed with respect to their potential for the future development of automated floor plan generation based on the experiential qualities of space.\n
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\n \n\n \n \n \n \n \n Who cares about right angles? Overcoming barriers in creating rectangularity in layout structures.\n \n \n \n\n\n \n Schneider, S.; Koenig, R.; and Pohle, R.\n\n\n \n\n\n\n In eCAADe 2011: Respecting Fragile Places, 2011. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{schneider_who_2011,\n\ttitle = {Who cares about right angles? {Overcoming} barriers in creating rectangularity in layout structures},\n\tcopyright = {All rights reserved},\n\tabstract = {This paper examines methods for the generation of structures that exhibit rectangularity. Rectangularity in architectural and urban structures can be traced to various reasons, including facilitating the design process, since the use of rectangular geometry limits both the space of possible solutions and the operations necessary to search the solution space. With the help of computer-based methods it becomes possible to explore huge solution spaces, however most existing methods stick to traditional concepts for the generation of geometric structures, such as the use of predefined elements (rectangles). These approaches do not take into account geometric irregularities which the structure to be generated may be subject to. In this paper we present a method that makes it possible to create a nearly rectangular structure within a freely definable boundary.},\n\tbooktitle = {{eCAADe} 2011: {Respecting} {Fragile} {Places}},\n\tauthor = {Schneider, Sven and Koenig, Reinhard and Pohle, Robert},\n\tyear = {2011},\n\tkeywords = {Design Process, Design Tool, Evolutionary Optimization., Rectangularity, Structures},\n}\n\n
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\n This paper examines methods for the generation of structures that exhibit rectangularity. Rectangularity in architectural and urban structures can be traced to various reasons, including facilitating the design process, since the use of rectangular geometry limits both the space of possible solutions and the operations necessary to search the solution space. With the help of computer-based methods it becomes possible to explore huge solution spaces, however most existing methods stick to traditional concepts for the generation of geometric structures, such as the use of predefined elements (rectangles). These approaches do not take into account geometric irregularities which the structure to be generated may be subject to. In this paper we present a method that makes it possible to create a nearly rectangular structure within a freely definable boundary.\n
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\n  \n 2010\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n \n Road Network Analysis as a Means of Socio-spatial Investigation – the CoMStaR Project.\n \n \n \n \n\n\n \n Anders, F.; and Koenig, R.\n\n\n \n\n\n\n In Fabrikant, S. I; Reichenbacher, T.; van Kreveld, M.; and Schlieder, C., editor(s), 6th International Conference, GIScience 2010, Zurich, Switzerland, 2010. Springer\n \n\n\n\n
\n\n\n\n \n \n \"RoadPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{anders_road_2010,\n\ttitle = {Road {Network} {Analysis} as a {Means} of {Socio}-spatial {Investigation} – the {CoMStaR} {Project}},\n\tcopyright = {All rights reserved},\n\turl = {http://infar.architektur.uni-weimar.de/service/drupal-infar/webfm_send/661},\n\tabstract = {Urban development strategies aimed at improving sustainability such as densification, polycentrality and mixed-use planning are largely driven by economic and ecological considerations. The social dimension of such concepts is largely unknown. It is difficult to predict the effects of spatial restructuring measures on the social structure of cities. A key question is to examine how sustainable urban and regional planning strategies can be evaluated taking into account the interrelationship between spatial and social structures. In this context, our aim is to investigate road networks and urban infrastructure using graph-based analysis methods to gain insight into the interdependency of social patterns and the structure of the environment. We will describe methods for determining the meaningful characteristics of a network, which can serve as significant parameters for correlating social data with the urban infrastructure.},\n\tbooktitle = {6th {International} {Conference}, {GIScience} 2010, {Zurich}, {Switzerland}},\n\tpublisher = {Springer},\n\tauthor = {Anders, Frauke and Koenig, Reinhard},\n\teditor = {Fabrikant, Sara I and Reichenbacher, Tumasch and van Kreveld, Mark and Schlieder, Christoph},\n\tyear = {2010},\n}\n\n
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\n Urban development strategies aimed at improving sustainability such as densification, polycentrality and mixed-use planning are largely driven by economic and ecological considerations. The social dimension of such concepts is largely unknown. It is difficult to predict the effects of spatial restructuring measures on the social structure of cities. A key question is to examine how sustainable urban and regional planning strategies can be evaluated taking into account the interrelationship between spatial and social structures. In this context, our aim is to investigate road networks and urban infrastructure using graph-based analysis methods to gain insight into the interdependency of social patterns and the structure of the environment. We will describe methods for determining the meaningful characteristics of a network, which can serve as significant parameters for correlating social data with the urban infrastructure.\n
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\n \n\n \n \n \n \n \n Generating Floor Plan Layouts with K-d Trees and Evolutionary Algorithms.\n \n \n \n\n\n \n Knecht, K.; and Koenig, R.\n\n\n \n\n\n\n In Soddu, C, editor(s), GA2010 - 13th Generative Art Conference, 2010. Domus Argenia Publisher\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@inproceedings{knecht_generating_2010,\n\ttitle = {Generating {Floor} {Plan} {Layouts} with {K}-d {Trees} and {Evolutionary} {Algorithms}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-88-96610-06-0},\n\tabstract = {K-dimensional trees, abbreviated as k-d trees in the following, are binary search and partitioning trees which represent a set of n points in a multi-dimensional space [1]. K-d tree data structures have primarily been used for nearest neighbor queries and several other query types for example in database applications. [1] In the context of a research project at the Bauhaus-University Weimar concerned with the development of a creative evolutionary design method for layout problems in architecture and urban design, spatial partitioning with k-d trees has been applied as a partial solution to generate floor plan layouts. Unlike, for example, packing algorithms in [2] and slicing tree structures in [3] the employment of k-d tree algorithms in combination with evolutionary algorithms to generate floor plan layouts has not previously been examined in the scope presented here. In the application developed in this project the k-d tree algorithm is initially used to subdivide a given rectangular area. The dividing lines thereby correspond to eventual spatial boundaries. By combining the k-d tree algorithm with genetic algorithms and evolutionary strategies, layouts can – in the current version - be optimized in three criteria dimensions (size, ratio and topology). Through user interaction the layouts can be dynamically adjusted and altered in real time. The result is a generative mechanism that provides an interesting and promising alternative to existing well-established algorithms for the creative and evolutionary solution of layout problems in architecture and urban design.},\n\tbooktitle = {{GA2010} - 13th {Generative} {Art} {Conference}},\n\tpublisher = {Domus Argenia Publisher},\n\tauthor = {Knecht, Knecht and Koenig, Reinhard},\n\teditor = {Soddu, C},\n\tyear = {2010},\n\tkeywords = {Generative layout design, architecture},\n}\n\n
\n
\n\n\n
\n K-dimensional trees, abbreviated as k-d trees in the following, are binary search and partitioning trees which represent a set of n points in a multi-dimensional space [1]. K-d tree data structures have primarily been used for nearest neighbor queries and several other query types for example in database applications. [1] In the context of a research project at the Bauhaus-University Weimar concerned with the development of a creative evolutionary design method for layout problems in architecture and urban design, spatial partitioning with k-d trees has been applied as a partial solution to generate floor plan layouts. Unlike, for example, packing algorithms in [2] and slicing tree structures in [3] the employment of k-d tree algorithms in combination with evolutionary algorithms to generate floor plan layouts has not previously been examined in the scope presented here. In the application developed in this project the k-d tree algorithm is initially used to subdivide a given rectangular area. The dividing lines thereby correspond to eventual spatial boundaries. By combining the k-d tree algorithm with genetic algorithms and evolutionary strategies, layouts can – in the current version - be optimized in three criteria dimensions (size, ratio and topology). Through user interaction the layouts can be dynamically adjusted and altered in real time. The result is a generative mechanism that provides an interesting and promising alternative to existing well-established algorithms for the creative and evolutionary solution of layout problems in architecture and urban design.\n
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\n \n\n \n \n \n \n \n \n Simulation und Visualisierung der Dynamik räumlicher Prozesse: Eine computergestützte Untersuchung zu den Wechselwirkungen sozialräumlicher Organisation und den baulichen Strukturen städtischer Gesellschaften.\n \n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n VS Verlag, Wiesbaden, VS Researc edition, 2010.\n \n\n\n\n
\n\n\n\n \n \n \"SimulationPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@book{koenig_simulation_2010,\n\taddress = {Wiesbaden},\n\tedition = {VS Researc},\n\ttitle = {Simulation und {Visualisierung} der {Dynamik} räumlicher {Prozesse}: {Eine} computergestützte {Untersuchung} zu den {Wechselwirkungen} sozialräumlicher {Organisation} und den baulichen {Strukturen} städtischer {Gesellschaften}},\n\tcopyright = {All rights reserved},\n\turl = {http://www.springer.com/springer+vs/politikwissenschaft/book/978-3-531-17088-6},\n\tabstract = {Eine sinnvolle Stadtplanung ist erst dann möglich, wenn man – zumindest im Modell – versteht, wie eine Stadt mit ihren komplexen verwobenen Vorgängen im Wesentlichen funktioniert. Wie lassen sich räumliche, soziale und ökonomische Prinzipien sowie deren Wechselwirkungen abbilden und mit welchen Methoden können die Auswirkungen unterschiedlicher Planungen untersucht werden? Reinhard König analysiert, wie urbane Prozesse mittels Computersimulationen unter Zuhilfenahme agentenbasierter Systeme und Zellulärer Automaten verstanden werden können und veranschaulicht deren Ergebnisse mittels Visualisierungen sowie verschiedenen Messmethoden. Das Buch wendet sich an ForscherInnen, Lehrende und Studierende der Stadtgeographie und -planung, der (Stadt-)Soziologie und der Informatik sowie an Akteure aus der Praxis der Stadtplanung und der Informatik.},\n\tpublisher = {VS Verlag},\n\tauthor = {Koenig, Reinhard},\n\teditor = {Klüver, Jürgen},\n\tyear = {2010},\n\tkeywords = {Geosimulation - Multi-Agenten Simulation - Simulat},\n}\n\n
\n
\n\n\n
\n Eine sinnvolle Stadtplanung ist erst dann möglich, wenn man – zumindest im Modell – versteht, wie eine Stadt mit ihren komplexen verwobenen Vorgängen im Wesentlichen funktioniert. Wie lassen sich räumliche, soziale und ökonomische Prinzipien sowie deren Wechselwirkungen abbilden und mit welchen Methoden können die Auswirkungen unterschiedlicher Planungen untersucht werden? Reinhard König analysiert, wie urbane Prozesse mittels Computersimulationen unter Zuhilfenahme agentenbasierter Systeme und Zellulärer Automaten verstanden werden können und veranschaulicht deren Ergebnisse mittels Visualisierungen sowie verschiedenen Messmethoden. Das Buch wendet sich an ForscherInnen, Lehrende und Studierende der Stadtgeographie und -planung, der (Stadt-)Soziologie und der Informatik sowie an Akteure aus der Praxis der Stadtplanung und der Informatik.\n
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\n \n\n \n \n \n \n \n Generative Planungsmethoden aus strukturalistischer Perspektive.\n \n \n \n\n\n \n Koenig, R.; Donath, D; and Koenig, R\n\n\n \n\n\n\n Technical Report Bauhaus-Universität Weimar, Weimar, 2010.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@techreport{koenig_generative_2010,\n\taddress = {Weimar},\n\ttitle = {Generative {Planungsmethoden} aus strukturalistischer {Perspektive}},\n\tcopyright = {All rights reserved},\n\tabstract = {Nähert man sich der Frage nach den Zusammenhängen zwischen Strukturalismus und gene- rativen algorithmischen Planungsmethoden, so ist zunächst zu klären, was man unter Struk- turalismus in der Architektur versteht. Allerdings gibt es letztlich keinen verbindlichen ter- minologischen Rahmen, innerhalb dessen sich eine solche Klärung vollziehen könnte. Strukturalismus in der Architektur wird oftmals auf ein formales Phänomen und damit auf eine Stilfrage reduziert. Der vorliegende Text will sich nicht mit Stilen und Phänomenen strukturalistischer Architektur auseinandersetzen, sondern konzentriert sich auf die Betrach- tung strukturalistischer Entwurfsmethoden und stellt Bezüge her zu algorithmischen Verfah- ren, wobei das Zusammenspiel zwischen regelgeleitetem und intuitivem Vorgehen beim Entwerfen herausgearbeitet wird. Keywords:},\n\tinstitution = {Bauhaus-Universität Weimar},\n\tauthor = {Koenig, Reinhard and Donath, D and Koenig, R},\n\tyear = {2010},\n\tkeywords = {Generative Entwurfsmethoden, Planungstheorie, Strukturalismus, computerbasiertes Entwerfen},\n}\n\n
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\n\n\n
\n Nähert man sich der Frage nach den Zusammenhängen zwischen Strukturalismus und gene- rativen algorithmischen Planungsmethoden, so ist zunächst zu klären, was man unter Struk- turalismus in der Architektur versteht. Allerdings gibt es letztlich keinen verbindlichen ter- minologischen Rahmen, innerhalb dessen sich eine solche Klärung vollziehen könnte. Strukturalismus in der Architektur wird oftmals auf ein formales Phänomen und damit auf eine Stilfrage reduziert. Der vorliegende Text will sich nicht mit Stilen und Phänomenen strukturalistischer Architektur auseinandersetzen, sondern konzentriert sich auf die Betrach- tung strukturalistischer Entwurfsmethoden und stellt Bezüge her zu algorithmischen Verfah- ren, wobei das Zusammenspiel zwischen regelgeleitetem und intuitivem Vorgehen beim Entwerfen herausgearbeitet wird. Keywords:\n
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\n \n\n \n \n \n \n \n FREAC: A Technical Introduction to a Framework for Enhancing Research in Architectural Design and Communication.\n \n \n \n\n\n \n Koenig, R.; Thurow, T.; Braunes, J.; Tonn, C.; Donath, D.; and Schneider, S.\n\n\n \n\n\n\n In Schmitt, G.; Hovestadt, L. (.; and Van Gool, L., editor(s), Future Cities: Education and research in Computer Aided Architectural Design in Europe (eCAADe), 2010. vdf Hochschulverlag\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@inproceedings{koenig_freac:_2010,\n\ttitle = {{FREAC}: {A} {Technical} {Introduction} to a {Framework} for {Enhancing} {Research} in {Architectural} {Design} and {Communication}},\n\tcopyright = {All rights reserved},\n\tabstract = {This paper describes a framework for a collaborative, dynamically modifiable product model called FREAC built for the purposes of experimental software development. When developing FREAC, we attempted to realise the following properties that are typically lacking in currently available commercial systems: first, a high degree of flexibility so that it is highly adaptable to the needs of different disciplines; second, the ability to seamlessly connect different tools; third, real-time concurrent modelling by different remote partners; fourth, the ability to save a record of the entire modelling process; fifth, dynamic extensibility both for software developers as well as for the end users of the respective tools. The term FREAC encompasses both the framework for developing and managing a product model (FREAC-development) as well as the tools developed to work with it (FREAC-tools).},\n\tbooktitle = {Future {Cities}: {Education} and research in {Computer} {Aided} {Architectural} {Design} in {Europe} ({eCAADe})},\n\tpublisher = {vdf Hochschulverlag},\n\tauthor = {Koenig, Reinhard and Thurow, Torsten and Braunes, Jörg and Tonn, Christian and Donath, Dirk and Schneider, Sven},\n\teditor = {Schmitt, Gerhard and Hovestadt, Ludger (Autor) and Van Gool, Luc},\n\tyear = {2010},\n\tkeywords = {digital building model, experimental platform, product model, software development},\n}\n\n
\n
\n\n\n
\n This paper describes a framework for a collaborative, dynamically modifiable product model called FREAC built for the purposes of experimental software development. When developing FREAC, we attempted to realise the following properties that are typically lacking in currently available commercial systems: first, a high degree of flexibility so that it is highly adaptable to the needs of different disciplines; second, the ability to seamlessly connect different tools; third, real-time concurrent modelling by different remote partners; fourth, the ability to save a record of the entire modelling process; fifth, dynamic extensibility both for software developers as well as for the end users of the respective tools. The term FREAC encompasses both the framework for developing and managing a product model (FREAC-development) as well as the tools developed to work with it (FREAC-tools).\n
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\n \n\n \n \n \n \n \n \n Technische Einführung in FREAC.\n \n \n \n \n\n\n \n Koenig, R.; Thurow, T.; Braunes, J.; Tonn, C.; Donath, D.; Schneider, S.; Donath, D; and Koenig, R\n\n\n \n\n\n\n Technical Report Bauhaus-Universität Weimar, Weimar, 2010.\n \n\n\n\n
\n\n\n\n \n \n \"TechnischePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@techreport{koenig_technische_2010,\n\taddress = {Weimar},\n\ttitle = {Technische {Einführung} in {FREAC}},\n\tcopyright = {All rights reserved},\n\turl = {http://infar.architektur.uni-weimar.de/service/drupal-infar/node/405},\n\tinstitution = {Bauhaus-Universität Weimar},\n\tauthor = {Koenig, Reinhard and Thurow, Torsten and Braunes, Jörg and Tonn, Christian and Donath, Dirk and Schneider, Sven and Donath, D and Koenig, R},\n\tyear = {2010},\n\tkeywords = {Experimentalplattform, Produk, Softwareentwicklung, freac},\n}\n\n
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\n \n\n \n \n \n \n \n \n Straßennetzwerkanalysen zur Unterstützung sozialräumlicher Untersuchungen - das Projekt CoMStaR.\n \n \n \n \n\n\n \n Anders, F.; Koenig, R.; Steinhöfel, J.; Köhler, H.; and Kalisch, D.\n\n\n \n\n\n\n In Strobl, J.; Blaschke, T.; and Griesebner, G., editor(s), Angewandte Geoinformatik 2010. Beiträge zum 22. AGIT-Symposium Salzburg, pages 454–463, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"StraßennetzwerkanalysenPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{anders_strasennetzwerkanalysen_2010,\n\ttitle = {Straßennetzwerkanalysen zur {Unterstützung} sozialräumlicher {Untersuchungen} - das {Projekt} {CoMStaR}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-87907-495-2},\n\turl = {http://infar.architektur.uni-weimar.de/service/drupal-infar/webfm_send/658},\n\tabstract = {Stadt- und Raumplanung stehen heute aufgrund globaler Umstrukturierungen und Urbani- sierung vor der großen Herausforderung, nachhaltige Planungsstrategien anzubieten. Bishe- rige die Nachhaltigkeit fokussierende Entwicklungskonzepte wie z.B. Verdichtung, Misch- nutzungen oder Polyzentralität resultieren vornehmlich aus ökonomischen und ökologi- schen Überlegungen. Das vorliegende Forschungsvorhaben möchte unter besonderer Be- rücksichtigung der Wechselwirkungen zwischen räumlichen und sozialen Strukturen ein methodisches Instrumentarium zu Verfügung stellen, das die soziale Dimension der Nach- haltigkeit in der Planung zu berücksichtigen hilft, indem es eine Bewertung der aktuellen städtebaulichen Leitbilder hinsichtlich ihrer sozialen Nachhaltigkeit ermöglicht und darüber hinaus die Entwicklung neuartiger Planungskonzepte erlaubt. Simulationstechniken wie beispielsweise agentenbasierte Modelle und graphenbasierte Analyseverfahren sowie deren geeignete Kombination eröffnen neue Zugänge zu planungsrelevanten Fragestellungen. Unter Hinzunahme kleinräumiger empirischer Daten können Effekte der baulichen Struktur auf die räumliche Organisation der Bevölkerung und vice versa untersucht werden. Durch den Abgleich von Simulation und Empirie sollen sich schließlich theoretische Konzepte ableiten lassen, die der Bewertung bestimmter baulicher Strukturen zugrunde gelegt werden können. Diese Grundlagen könnten wiederum in eine generative Software einfließen, wel- che als Vorschlagssystem für nachhaltige stadtplanerische Entwürfe dienen soll. In diesem Beitrag wird insbesondere die graphenbasierte Analyse des Straßennetzwerkes vor dem Hintergrund einer sozialräumlichen Gliederung der Stadtstruktur beschrieben. Es werden Methoden aufgezeigt, um typische Kenngrößen eines Netzwerkes zu ermitteln und mit sozialen Daten zu korrelieren. 1},\n\tbooktitle = {Angewandte {Geoinformatik} 2010. {Beiträge} zum 22. {AGIT}-{Symposium} {Salzburg}},\n\tauthor = {Anders, Frauke and Koenig, Reinhard and Steinhöfel, Jens and Köhler, Hermann and Kalisch, Dominik},\n\teditor = {Strobl, Josef and Blaschke, Thomas and Griesebner, Gerald},\n\tyear = {2010},\n\tpages = {454--463},\n}\n\n
\n
\n\n\n
\n Stadt- und Raumplanung stehen heute aufgrund globaler Umstrukturierungen und Urbani- sierung vor der großen Herausforderung, nachhaltige Planungsstrategien anzubieten. Bishe- rige die Nachhaltigkeit fokussierende Entwicklungskonzepte wie z.B. Verdichtung, Misch- nutzungen oder Polyzentralität resultieren vornehmlich aus ökonomischen und ökologi- schen Überlegungen. Das vorliegende Forschungsvorhaben möchte unter besonderer Be- rücksichtigung der Wechselwirkungen zwischen räumlichen und sozialen Strukturen ein methodisches Instrumentarium zu Verfügung stellen, das die soziale Dimension der Nach- haltigkeit in der Planung zu berücksichtigen hilft, indem es eine Bewertung der aktuellen städtebaulichen Leitbilder hinsichtlich ihrer sozialen Nachhaltigkeit ermöglicht und darüber hinaus die Entwicklung neuartiger Planungskonzepte erlaubt. Simulationstechniken wie beispielsweise agentenbasierte Modelle und graphenbasierte Analyseverfahren sowie deren geeignete Kombination eröffnen neue Zugänge zu planungsrelevanten Fragestellungen. Unter Hinzunahme kleinräumiger empirischer Daten können Effekte der baulichen Struktur auf die räumliche Organisation der Bevölkerung und vice versa untersucht werden. Durch den Abgleich von Simulation und Empirie sollen sich schließlich theoretische Konzepte ableiten lassen, die der Bewertung bestimmter baulicher Strukturen zugrunde gelegt werden können. Diese Grundlagen könnten wiederum in eine generative Software einfließen, wel- che als Vorschlagssystem für nachhaltige stadtplanerische Entwürfe dienen soll. In diesem Beitrag wird insbesondere die graphenbasierte Analyse des Straßennetzwerkes vor dem Hintergrund einer sozialräumlichen Gliederung der Stadtstruktur beschrieben. Es werden Methoden aufgezeigt, um typische Kenngrößen eines Netzwerkes zu ermitteln und mit sozialen Daten zu korrelieren. 1\n
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\n \n\n \n \n \n \n \n A Matter of Negotiation: Managing Uncertainties in an Open Design Process.\n \n \n \n\n\n \n Schneider, S.; Richter, N.; Petzold, F.; and Koenig, R.\n\n\n \n\n\n\n In Design Research Society - International Conference Design & Complexity, 2010. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{schneider_matter_2010,\n\ttitle = {A {Matter} of {Negotiation}: {Managing} {Uncertainties} in an {Open} {Design} {Process}},\n\tcopyright = {All rights reserved},\n\tabstract = {Designing is a highly collaborative and communicative process. To achieve good results effective teamwork is extremely important. Digital technology makes it possible for this process to be distributed across different spatial locations. Despite the potential of digital networks, commercial systems in the field of Computer Aided Architectural Design remain stuck in old patterns with strict role definitions and linear working processes. Open Architectural Design offers an alternative to this “sequential model” by providing an approach to distributed work oriented around "Open Strategies”. Open strategies facilitate an open exchange of ideas and artefacts with the aim of making better use of distributed resources and realising greater creative potential. The goal of our project is to apply open strategies to the architectural design process. The technical basis for our research is FREAC, a software framework developed in-house which provides a collaboration space for co-operation between different users and tools. This framework is designed not just for exchanging the outcome of the design process but also for opening up the design process itself and making it more transparent. Such highly open and distributed design processes, however, also present new problems and uncertainties which need to be taken into account in order to reach successful design outcomes. As a result proposals for the management of such processes need to be developed that facilitate collaborative work but do not unnecessarily constrain the inherent complexity of the design process. The focus therefore lies on the improvement of the negotiation process between users, tools and architectural design models. The actor-network theory, and other different management concepts, provides a theoretical underpinning for our approach. The project is a collaboration between the fields of computer science in architecture and media management. Keywords},\n\tbooktitle = {Design {Research} {Society} - {International} {Conference} {Design} \\& {Complexity}},\n\tauthor = {Schneider, Sven and Richter, Nancy and Petzold, Frank and Koenig, Reinhard},\n\tyear = {2010},\n\tkeywords = {Collaborative Design, Complexity, Management, Open Design Processes, actor-network theory, design theory},\n}\n\n
\n
\n\n\n
\n Designing is a highly collaborative and communicative process. To achieve good results effective teamwork is extremely important. Digital technology makes it possible for this process to be distributed across different spatial locations. Despite the potential of digital networks, commercial systems in the field of Computer Aided Architectural Design remain stuck in old patterns with strict role definitions and linear working processes. Open Architectural Design offers an alternative to this “sequential model” by providing an approach to distributed work oriented around \"Open Strategies”. Open strategies facilitate an open exchange of ideas and artefacts with the aim of making better use of distributed resources and realising greater creative potential. The goal of our project is to apply open strategies to the architectural design process. The technical basis for our research is FREAC, a software framework developed in-house which provides a collaboration space for co-operation between different users and tools. This framework is designed not just for exchanging the outcome of the design process but also for opening up the design process itself and making it more transparent. Such highly open and distributed design processes, however, also present new problems and uncertainties which need to be taken into account in order to reach successful design outcomes. As a result proposals for the management of such processes need to be developed that facilitate collaborative work but do not unnecessarily constrain the inherent complexity of the design process. The focus therefore lies on the improvement of the negotiation process between users, tools and architectural design models. The actor-network theory, and other different management concepts, provides a theoretical underpinning for our approach. The project is a collaboration between the fields of computer science in architecture and media management. Keywords\n
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\n \n\n \n \n \n \n \n Open architectural design: an approach to managing complexity and uncertainty in an open design process.\n \n \n \n\n\n \n Schneider, S.; Richter, N.; Petzold, F.; and Koenig, R.\n\n\n \n\n\n\n In 15th International Conference on Computer Aided Architectural Design Research in Asia (CAADRIA), 2010. CAADRIA\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@inproceedings{schneider_open_2010,\n\ttitle = {Open architectural design: an approach to managing complexity and uncertainty in an open design process},\n\tcopyright = {All rights reserved},\n\tabstract = {Internationalisation, digitalisation and collaborative decentralised work are the primary challenges that a modern architectural design and planning process need to resolve. The paper aims to reconsider the possibilities and potential offered by the computer as a media for design and introduces a theoretical framework as a basis for a contemporary understanding of design. The proposed Open Architectural Design (OAD) model incorporates the influence of digital technologies on the architectural design process, in particular with regard to the interaction between people and their tools. To this end, we examine the Actor-Network Theory (ANT) as a means of identifying and coordinating the various interdependencies in their necessary complexity. Building on these theoretical considerations, we outline the technical basis for an open understanding of design. The “FREAC” research environment establishes a seamless means of coupling different digital tools at a technical level, and thus facilitates the formation of networks in digital design processes, as well as between different research projects in which new tools are developed for this network.},\n\tbooktitle = {15th {International} {Conference} on {Computer} {Aided} {Architectural} {Design} {Research} in {Asia} ({CAADRIA})},\n\tpublisher = {CAADRIA},\n\tauthor = {Schneider, Sven and Richter, Nancy and Petzold, Frank and Koenig, Reinhard},\n\tyear = {2010},\n\tkeywords = {actor-network theory, collaboration, freac, open design process, software framework},\n}\n\n
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\n Internationalisation, digitalisation and collaborative decentralised work are the primary challenges that a modern architectural design and planning process need to resolve. The paper aims to reconsider the possibilities and potential offered by the computer as a media for design and introduces a theoretical framework as a basis for a contemporary understanding of design. The proposed Open Architectural Design (OAD) model incorporates the influence of digital technologies on the architectural design process, in particular with regard to the interaction between people and their tools. To this end, we examine the Actor-Network Theory (ANT) as a means of identifying and coordinating the various interdependencies in their necessary complexity. Building on these theoretical considerations, we outline the technical basis for an open understanding of design. The “FREAC” research environment establishes a seamless means of coupling different digital tools at a technical level, and thus facilitates the formation of networks in digital design processes, as well as between different research projects in which new tools are developed for this network.\n
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\n  \n 2009\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n DFG-Forschungsprojekt CoMStaR.\n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n In: Der Bogen: Journal der Bauhaus-Universität Weimar, 2, 2009. S. 18. 2009.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{koenig_dfg-forschungsprojekt_2009,\n\ttitle = {{DFG}-{Forschungsprojekt} {CoMStaR}},\n\tcopyright = {All rights reserved},\n\tjournal = {In: Der Bogen: Journal der Bauhaus-Universität Weimar, 2, 2009. S. 18},\n\tauthor = {Koenig, Reinhard},\n\tyear = {2009},\n}\n\n
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\n \n\n \n \n \n \n \n \n Generating urban structures: A method for urban planning and analysis supported by cellular automata.\n \n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n In Stolk, E.; and Brömmelstroet, M. t., editor(s), Model Town: Using Urban Simulation in New Town. International New Town Institute, Almere, 2009.\n \n\n\n\n
\n\n\n\n \n \n \"GeneratingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{koenig_generating_2009,\n\taddress = {Almere},\n\ttitle = {Generating urban structures: {A} method for urban planning and analysis supported by cellular automata},\n\tcopyright = {All rights reserved},\n\tisbn = {978-90-8506-804-4},\n\turl = {http://www.sunarchitecture.nl/books/category/urbanism/model_town_9789085068044?sort=ti&lang=en},\n\tbooktitle = {Model {Town}: {Using} {Urban} {Simulation} in {New} {Town}},\n\tpublisher = {International New Town Institute},\n\tauthor = {Koenig, Reinhard},\n\teditor = {Stolk, Egbert and Brömmelstroet, Marco te},\n\tyear = {2009},\n}\n\n
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\n \n\n \n \n \n \n \n \n Generating settlement structures: a method for urban planning and analysis supported by cellular automata.\n \n \n \n \n\n\n \n Koenig, R.; and Bauriedel, C.\n\n\n \n\n\n\n Environment and Planning B Planning and Design, 36(4): 602–624. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"GeneratingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{koenig_generating_2009-1,\n\ttitle = {Generating settlement structures: a method for urban planning and analysis supported by cellular automata},\n\tvolume = {36},\n\tcopyright = {All rights reserved},\n\tissn = {9789085068044},\n\turl = {http://www.envplan.com.proxy.lib.sfu.ca/abstract.cgi?id=b34025},\n\tdoi = {10.1068/b34025},\n\tabstract = {Previous models for the explanation of settlement processes pay little attention to the interactions between settlement spreading and road networks. On the basis of a dielectric breakdown model in combination with cellular automata, we present a method to steer precisely the generation of settlement structures with regard to their global and local density as well as the size and number of forming clusters. The resulting structures depend on the logic of how the dependence of the settlements and the road network is implemented to the simulation model. After analysing the state of the art we begin with a discussion of the mutual dependence of roads and land development. Next, we elaborate a model that permits the precise control of permeability in the developing structure as well as the settlement density, using the fewest necessary control parameters. On the basis of different characteristic values, possible settlement structures are analysed and compared with each other. Finally, we reflect on the theoretical contribution of the model with regard to the context of urban dynamics.},\n\tnumber = {4},\n\tjournal = {Environment and Planning B Planning and Design},\n\tauthor = {Koenig, Reinhard and Bauriedel, Christian},\n\tyear = {2009},\n\tpages = {602--624},\n}\n\n
\n
\n\n\n
\n Previous models for the explanation of settlement processes pay little attention to the interactions between settlement spreading and road networks. On the basis of a dielectric breakdown model in combination with cellular automata, we present a method to steer precisely the generation of settlement structures with regard to their global and local density as well as the size and number of forming clusters. The resulting structures depend on the logic of how the dependence of the settlements and the road network is implemented to the simulation model. After analysing the state of the art we begin with a discussion of the mutual dependence of roads and land development. Next, we elaborate a model that permits the precise control of permeability in the developing structure as well as the settlement density, using the fewest necessary control parameters. On the basis of different characteristic values, possible settlement structures are analysed and compared with each other. Finally, we reflect on the theoretical contribution of the model with regard to the context of urban dynamics.\n
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\n \n\n \n \n \n \n \n \n Computer-based methods for a socially sustainable urban and regional planning.\n \n \n \n \n\n\n \n Koehler, H.; Koenig, R.; Steinhoefel, J.; Kalisch, D.; Steinhoefel, J.; and Anders, F.\n\n\n \n\n\n\n Proceedings of the Association of American Geographers, (4): 115–124. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"Computer-basedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{koehler_computer-based_2009,\n\ttitle = {Computer-based methods for a socially sustainable urban and regional planning},\n\tcopyright = {All rights reserved},\n\turl = {http://revistes.upc.edu/ojs/index.php/STH/article/view/1058},\n\tdoi = {10.5821/sth.v0i4.1058},\n\tabstract = {Due to global restructuring and urbanization, urban and regional planning is presented with the great challenge of offering sustainable planning strategies. Through particular consideration of the interaction between spatial and social structures, this research project aims to provide a methodical instrument that helps to factor the social dimension of sustainability into planning. The project comprises three modules. In the first one, a method will be developed, which makes it possible to generate spatial structures with very different characteristics. In the framework of the second module, we first elaborate on graph-based methods for analyzing spatial structures, and secondly we develop an agent-based simulation model for residential segregation. The third module contains an empirical study of the interactions between built structures and socio-spatial organization in the partner city of Dresden. Through the comparison of simulation models and small-scale empirical data, one should be able to derive theoretical concepts which can in turn be used to evaluate specific built structures.},\n\tnumber = {4},\n\tjournal = {Proceedings of the Association of American Geographers},\n\tauthor = {Koehler, Hermann and Koenig, Reinhard and Steinhoefel, Jens and Kalisch, Dominik and Steinhoefel, Jens and Anders, Frauke},\n\teditor = {Tanair, D and Gervasi, O and Murgante, B and Pardede, E and Apduhan, B O},\n\tyear = {2009},\n\tkeywords = {Social sustainability, computer-based planning systems, graph-based analysis methods, quantitative urban milieu research, spatial and agent-based simulation models, urban planning theory and methodology},\n\tpages = {115--124},\n}\n\n
\n
\n\n\n
\n Due to global restructuring and urbanization, urban and regional planning is presented with the great challenge of offering sustainable planning strategies. Through particular consideration of the interaction between spatial and social structures, this research project aims to provide a methodical instrument that helps to factor the social dimension of sustainability into planning. The project comprises three modules. In the first one, a method will be developed, which makes it possible to generate spatial structures with very different characteristics. In the framework of the second module, we first elaborate on graph-based methods for analyzing spatial structures, and secondly we develop an agent-based simulation model for residential segregation. The third module contains an empirical study of the interactions between built structures and socio-spatial organization in the partner city of Dresden. Through the comparison of simulation models and small-scale empirical data, one should be able to derive theoretical concepts which can in turn be used to evaluate specific built structures.\n
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\n \n\n \n \n \n \n \n DFG-Forschungsprojekt KREMLAS: Kreative computerbasierte Entwurfsunterstützung gesucht.\n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n In: Der Bogen: Journal der Bauhaus-Universität Weimar, 4, 2009. S. 19. 2009.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{koenig_dfg-forschungsprojekt_2009-1,\n\ttitle = {{DFG}-{Forschungsprojekt} {KREMLAS}: {Kreative} computerbasierte {Entwurfsunterstützung} gesucht},\n\tcopyright = {All rights reserved},\n\tjournal = {In: Der Bogen: Journal der Bauhaus-Universität Weimar, 4, 2009. S. 19},\n\tauthor = {Koenig, Reinhard},\n\tyear = {2009},\n}\n\n
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\n \n\n \n \n \n \n \n Simulationsmodell zur Untersuchung der Zusammenhänge zwischen baulicher und sozialer Struktur einer Stadt.\n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n In Deutscher Geographentag, Fachsitzung Modellierung und Simulation urbaner Entwicklungsprozesse, 2009. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{koenig_simulationsmodell_2009,\n\ttitle = {Simulationsmodell zur {Untersuchung} der {Zusammenhänge} zwischen baulicher und sozialer {Struktur} einer {Stadt}},\n\tcopyright = {All rights reserved},\n\tabstract = {Bei der vorliegenden Untersuchung wird von der These ausgegangen, dass die bauliche Gestaltung einer Stadt einen wesentlichen Einfluss auf die residentielle Segregation der Bevölkerung hat. Zur Prüfung dieser These wurde die bauliche Struktur auf Grundlage des Erschließungssystems von der Straße über die Gebäude bis zu den Wohnungen als Graph repräsentiert. Dieser Graph bildet die Basis für ein agentenbasiertes Modell zur Simulation der Wohnortwahl einzelner Haushalte. Die Simulationsergebnisse zeigen, dass die Einflüsse der baulichen Struktur einer Siedlung auf die sozialräumliche Organisation der Bewohner dann relevant sind, wenn die Toleranzschwellenwerte der Bevölkerung bereits ein einem kritischen Bereich liegen. Ein kritischer Bereich bezeichnet den Bereich der Toleranzschwellenwerte der Agenten, innerhalb dessen eine kleine Toleranz-Veränderung relativ große Auswirkung auf die Bevölkerungsentmischung hat.},\n\tbooktitle = {Deutscher {Geographentag}, {Fachsitzung} {Modellierung} und {Simulation} urbaner {Entwicklungsprozesse}},\n\tauthor = {Koenig, Reinhard},\n\tyear = {2009},\n}\n\n
\n
\n\n\n
\n Bei der vorliegenden Untersuchung wird von der These ausgegangen, dass die bauliche Gestaltung einer Stadt einen wesentlichen Einfluss auf die residentielle Segregation der Bevölkerung hat. Zur Prüfung dieser These wurde die bauliche Struktur auf Grundlage des Erschließungssystems von der Straße über die Gebäude bis zu den Wohnungen als Graph repräsentiert. Dieser Graph bildet die Basis für ein agentenbasiertes Modell zur Simulation der Wohnortwahl einzelner Haushalte. Die Simulationsergebnisse zeigen, dass die Einflüsse der baulichen Struktur einer Siedlung auf die sozialräumliche Organisation der Bewohner dann relevant sind, wenn die Toleranzschwellenwerte der Bevölkerung bereits ein einem kritischen Bereich liegen. Ein kritischer Bereich bezeichnet den Bereich der Toleranzschwellenwerte der Agenten, innerhalb dessen eine kleine Toleranz-Veränderung relativ große Auswirkung auf die Bevölkerungsentmischung hat.\n
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\n \n\n \n \n \n \n \n Simulating the development of residential areas of the city of Vienna from 1888 to 2001.\n \n \n \n\n\n \n Koenig, R.; and Müller, D.\n\n\n \n\n\n\n In Compendium of Abstracts of the 8th International Conference on Urban Planning and Environment (UPE8), 2009. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{koenig_simulating_2009,\n\ttitle = {Simulating the development of residential areas of the city of {Vienna} from 1888 to 2001},\n\tcopyright = {All rights reserved},\n\tabstract = {The structure and development of cities can be seen and evaluated from different points of view. By replicating the growth or shrinkage of a city using historical maps depicting different time states, we can obtain momentary snapshots of the dynamic mechanisms of the city. An examination of how these snapshots change over the course of time and a comparison of the different static time states reveals the various interdependencies of population density, technical infrastructure and the availability of public transport facilities. Urban infrastructure and facilities are not distributed evenly across the city – rather they are subject to different patterns and speeds of spread over the course of time and follow different spatial and temporal regularities. The reasons and underlying processes that cause the transition from one state to another result from the same recurring but varyingly pronounced hidden forces and their complex interactions. Such forces encompass a variety of economic, social, cultural and ecological conditions whose respective weighting defines the development of a city in general. Urban development is, however, not solely a product of the different spatial distribution of economic, legal or social indicators but also of the distribution of infrastructure. But to what extent is the development of a city affected by the changing provision of infrastructure? As},\n\tbooktitle = {Compendium of {Abstracts} of the 8th {International} {Conference} on {Urban} {Planning} and {Environment} ({UPE8})},\n\tauthor = {Koenig, Reinhard and Müller, Daniela},\n\tyear = {2009},\n}\n\n
\n
\n\n\n
\n The structure and development of cities can be seen and evaluated from different points of view. By replicating the growth or shrinkage of a city using historical maps depicting different time states, we can obtain momentary snapshots of the dynamic mechanisms of the city. An examination of how these snapshots change over the course of time and a comparison of the different static time states reveals the various interdependencies of population density, technical infrastructure and the availability of public transport facilities. Urban infrastructure and facilities are not distributed evenly across the city – rather they are subject to different patterns and speeds of spread over the course of time and follow different spatial and temporal regularities. The reasons and underlying processes that cause the transition from one state to another result from the same recurring but varyingly pronounced hidden forces and their complex interactions. Such forces encompass a variety of economic, social, cultural and ecological conditions whose respective weighting defines the development of a city in general. Urban development is, however, not solely a product of the different spatial distribution of economic, legal or social indicators but also of the distribution of infrastructure. But to what extent is the development of a city affected by the changing provision of infrastructure? As\n
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\n  \n 2008\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n Computers in the design phase: Ten thesis on their uselessness.\n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n Der Generalist, (0). 2008.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{koenig_computers_2008,\n\ttitle = {Computers in the design phase: {Ten} thesis on their uselessness},\n\tcopyright = {All rights reserved},\n\tabstract = {At the end of the 1960s, architects at various universities world- wide began to explore the potential of computer technology for their profession. With the decline in prices for PCs in the 1990s and the development of various computer-aided architectural design systems (CAAD), the use of such systems in architectural and planning offices grew continuously. Because today no ar- chitectural office manages without a costly CAAD system and because intensive soſtware training has become an integral part of a university education, the question arises about what influence the various computer systems have had on the design process forming the core of architectural practice. The text at hand devel- ops ten theses about why there has been no success to this day in introducing computers such that new qualitative possibilities for design result. RESTRICTEDNESS},\n\tnumber = {0},\n\tjournal = {Der Generalist},\n\tauthor = {Koenig, Reinhard},\n\tyear = {2008},\n}\n\n
\n
\n\n\n
\n At the end of the 1960s, architects at various universities world- wide began to explore the potential of computer technology for their profession. With the decline in prices for PCs in the 1990s and the development of various computer-aided architectural design systems (CAAD), the use of such systems in architectural and planning offices grew continuously. Because today no ar- chitectural office manages without a costly CAAD system and because intensive soſtware training has become an integral part of a university education, the question arises about what influence the various computer systems have had on the design process forming the core of architectural practice. The text at hand devel- ops ten theses about why there has been no success to this day in introducing computers such that new qualitative possibilities for design result. RESTRICTEDNESS\n
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\n \n\n \n \n \n \n \n \n Planung als Steuerung von Selbstorganisationsprozessen.\n \n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n Messezeitung KOMCOM Ost,35–35. 2008.\n \n\n\n\n
\n\n\n\n \n \n \"PlanungPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{koenig_planung_2008,\n\ttitle = {Planung als {Steuerung} von {Selbstorganisationsprozessen}},\n\tcopyright = {All rights reserved},\n\turl = {http://infar.architektur.uni-weimar.de/service/drupal-infar/webfm_send/149},\n\tabstract = {Siedlungsstrukturen kommen in wesent- lichen Teilen durch Selbstorganisations- prozesse zustande. Daher ist es wichtig, zu untersuchen, wie diese Prozesse durch planerische Interventionen gesteuert werden können. Dazu eignen sich ver- schiedene Computersimulationsmetho- den, die im Folgenden besprochen wer- den. Erstens wird ein Konzept für einen sich selbst organisierenden Bebauungs- plan (SOB) vorgestellt, zweitens wird anhand eines Modells gezeigt, wie sich bauliche Strukturen und deren Verände- rung auf die sozialräumliche Struktur der Bewohner einer Stadt auswirken können, und drittens wird dargestellt, wie sich Besiedlungsprozesse steuern lassen. Selbstorganisierender},\n\tlanguage = {eng},\n\tjournal = {Messezeitung KOMCOM Ost},\n\tauthor = {Koenig, Reinhard},\n\tyear = {2008},\n\tpages = {35--35},\n}\n\n
\n
\n\n\n
\n Siedlungsstrukturen kommen in wesent- lichen Teilen durch Selbstorganisations- prozesse zustande. Daher ist es wichtig, zu untersuchen, wie diese Prozesse durch planerische Interventionen gesteuert werden können. Dazu eignen sich ver- schiedene Computersimulationsmetho- den, die im Folgenden besprochen wer- den. Erstens wird ein Konzept für einen sich selbst organisierenden Bebauungs- plan (SOB) vorgestellt, zweitens wird anhand eines Modells gezeigt, wie sich bauliche Strukturen und deren Verände- rung auf die sozialräumliche Struktur der Bewohner einer Stadt auswirken können, und drittens wird dargestellt, wie sich Besiedlungsprozesse steuern lassen. Selbstorganisierender\n
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\n \n\n \n \n \n \n \n Smart Solutions for Spatial Planning: A Design Support System for Urban Generative Design.\n \n \n \n\n\n \n Coates, P.; and Derix, C.\n\n\n \n\n\n\n In Muylle, M, editor(s), Architecture 'in computro': 26th eCAADe, pages 231–238, 2008. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{coates_smart_2008,\n\ttitle = {Smart {Solutions} for {Spatial} {Planning}: {A} {Design} {Support} {System} for {Urban} {Generative} {Design}},\n\tcopyright = {All rights reserved},\n\tabstract = {SSSP is a Government funded knowledge transfer project under the overall umbrella of the UK ‘building sustainable communities’ initiative. The paper describes the innovative techniques being developed by the partners to build urban modelling tools for multiple simulation or regeneration scenarios in the Thames Gateway region of London. This knowledge transfer scheme is between the main partners and the London boroughs of Newham and Tower Hamlets. The main aim is to demonstrate the use of digital data in the development of planning scenarios The aim is to demonstrate a workflow, which should provide stakeholders with a way of testing regeneration options, which are grounded on ‘real’ data and are capable of providing rapid feedback for policy makers and inhabitants alike.},\n\tbooktitle = {Architecture 'in computro': 26th {eCAADe}},\n\tauthor = {Coates, Paul and Derix, Christian},\n\teditor = {Muylle, M},\n\tyear = {2008},\n\tpages = {231--238},\n}\n\n
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\n SSSP is a Government funded knowledge transfer project under the overall umbrella of the UK ‘building sustainable communities’ initiative. The paper describes the innovative techniques being developed by the partners to build urban modelling tools for multiple simulation or regeneration scenarios in the Thames Gateway region of London. This knowledge transfer scheme is between the main partners and the London boroughs of Newham and Tower Hamlets. The main aim is to demonstrate the use of digital data in the development of planning scenarios The aim is to demonstrate a workflow, which should provide stakeholders with a way of testing regeneration options, which are grounded on ‘real’ data and are capable of providing rapid feedback for policy makers and inhabitants alike.\n
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\n \n\n \n \n \n \n \n Simulation von Stadtentwicklungsprozessen am Beispiel der Stadt Wien.\n \n \n \n\n\n \n Koenig, R.; and Müller, D.\n\n\n \n\n\n\n In Schrenk, M., editor(s), CORP: Internationale Konferenz zu Stadtplanung, Regionalentwicklung und Informationsgesellschaft, volume 13, pages 409–420, 2008. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{koenig_simulation_2008,\n\ttitle = {Simulation von {Stadtentwicklungsprozessen} am {Beispiel} der {Stadt} {Wien}.},\n\tvolume = {13},\n\tcopyright = {All rights reserved},\n\tabstract = {Ziel des vorgestellten Projekts ist es, allgemeingültige Methoden zur Analyse und Simulation der Siedlungs- entwicklung zu erarbeitet und diese am Beispiel der Stadt Wien zu überprüfen. Reale Stadtentwicklungs- prozesse sollen mit verschiedenen Simulationstechniken so wahrheitsgetreu wie möglich nachgebildet werden. Dadurch wird einerseits die Simulation anhand der tatsächlichen Siedlungsentwicklung validiert, andererseits können mögliche Entwicklungsszenarien der Stadt aufgezeigt werden. Zugrunde liegen digital aufbereitete und statistisch analysierte Daten zur Entwicklung der technischen Infrastruktur, der ÖV-Systeme und der Wohnsiedlungen in Wien zwischen 1888 und 2001, sowie auf der Technik Zellulärer Automaten basierende Simulationsmethoden. Das Prinzip des eingesetzten Simulationsmodells beruht auf der Wechsel- wirkung eines Potentialfelds und der Entwicklung einzelner Flächen und ist im Allgemeinen unter der Bezeichnung „Reaction-Diffusion“ bzw. „Dialectic Breakdown“ bekannt. Der Zelluläre Automat dient der Repräsentation des untersuchten Raums und unterteilt diesen in einzelne Zellen, von denen jede bestimmte Informationen (Bevölkerung, Infrastruktur, Erschließungsqualität) speichern und diese lokal mit den benach- barten Zellen austauschen kann. Die verwendeten Modellparameter erlauben die Simulation unter- schiedlicher Ausbreitungsmuster und -geschwindigkeiten einer Siedlungsstruktur. Daraus lassen sich günstige oder nachteilige Bedingungen für die Stadtentwicklung ableiten und es kann auf methodische, strukturelle, räumliche und zeitliche Regelmäßigkeiten von Stadtentwicklungsprozessen geschlossen werden. Wir gehen davon aus, dass die der Entwicklung einer Stadt zugrundeliegenden Prozesse auf verschieden aus- geprägte, aber immer gleiche verborgene Kräfte zurückgeführt werden können. 2},\n\tbooktitle = {{CORP}: {Internationale} {Konferenz} zu {Stadtplanung}, {Regionalentwicklung} und {Informationsgesellschaft}},\n\tauthor = {Koenig, Reinhard and Müller, Daniela},\n\teditor = {Schrenk, Manfred},\n\tyear = {2008},\n\tpages = {409--420},\n}\n\n
\n
\n\n\n
\n Ziel des vorgestellten Projekts ist es, allgemeingültige Methoden zur Analyse und Simulation der Siedlungs- entwicklung zu erarbeitet und diese am Beispiel der Stadt Wien zu überprüfen. Reale Stadtentwicklungs- prozesse sollen mit verschiedenen Simulationstechniken so wahrheitsgetreu wie möglich nachgebildet werden. Dadurch wird einerseits die Simulation anhand der tatsächlichen Siedlungsentwicklung validiert, andererseits können mögliche Entwicklungsszenarien der Stadt aufgezeigt werden. Zugrunde liegen digital aufbereitete und statistisch analysierte Daten zur Entwicklung der technischen Infrastruktur, der ÖV-Systeme und der Wohnsiedlungen in Wien zwischen 1888 und 2001, sowie auf der Technik Zellulärer Automaten basierende Simulationsmethoden. Das Prinzip des eingesetzten Simulationsmodells beruht auf der Wechsel- wirkung eines Potentialfelds und der Entwicklung einzelner Flächen und ist im Allgemeinen unter der Bezeichnung „Reaction-Diffusion“ bzw. „Dialectic Breakdown“ bekannt. Der Zelluläre Automat dient der Repräsentation des untersuchten Raums und unterteilt diesen in einzelne Zellen, von denen jede bestimmte Informationen (Bevölkerung, Infrastruktur, Erschließungsqualität) speichern und diese lokal mit den benach- barten Zellen austauschen kann. Die verwendeten Modellparameter erlauben die Simulation unter- schiedlicher Ausbreitungsmuster und -geschwindigkeiten einer Siedlungsstruktur. Daraus lassen sich günstige oder nachteilige Bedingungen für die Stadtentwicklung ableiten und es kann auf methodische, strukturelle, räumliche und zeitliche Regelmäßigkeiten von Stadtentwicklungsprozessen geschlossen werden. Wir gehen davon aus, dass die der Entwicklung einer Stadt zugrundeliegenden Prozesse auf verschieden aus- geprägte, aber immer gleiche verborgene Kräfte zurückgeführt werden können. 2\n
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\n\n
\n
\n  \n 2007\n \n \n (4)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Die Dynamik der Stadt: Untersuchung eines agentenbasiertes Simulationsmodells am Beispiel der Wohnortdynamik.\n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n In Schrenk, M., editor(s), REAL CORP 007, 2007. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{koenig_dynamik_2007,\n\ttitle = {Die {Dynamik} der {Stadt}: {Untersuchung} eines agentenbasiertes {Simulationsmodells} am {Beispiel} der {Wohnortdynamik}},\n\tcopyright = {All rights reserved},\n\tabstract = {Der Beitrag präsentiert eine Methode, wie sich sowohl räumliche Strukturen, als auch individuelle und kollektive Aktivitäten einer Stadt als Spektrum von Prozessen mit unterschiedlicher Dynamik darstellen lassen. Es wird einleitend erläutert, was man unter dem Begriff Dynamik versteht. Daran anschließend wird ein Modell vorgestellt, welches von den klassischen zwei Teilbereichen einer Stadt ausgeht, die Interaktion von Standortentscheidungen und dem Erschließungssystem, welche bei den meisten urbanen Modellen als Grundlage dienen. Darauf aufbauend erfolgt eine Beschreibung der Dynamik, welche aus individuellen Verhaltensweisen resultiert. Dazu wird das Konzept eines agentenbasierten Simulationsmodells operationalisiert, indem individuelle Akteure informationstechnisch als so genannte Agenten repräsentiert werden und die bauliche Struktur einer Stadt in einzelne Objekte gegliedert wird. Auf der eingeführten Konzeption basierend wird dargelegt, wie sich innerhalb eines Teilbereichs, welcher als offenes, komplexes und sich selbst organisierendes System betrachtet wird, Sensitivitätsanalysen gegenüber den Kontrollparametern sowie Stabilitätsanalysen unter Beleuchtung kritischer Zustände vor Phasenübergängen durchführen lassen. Diese Analysen werden beispielhaft an einer Simulation der städtischen Wohnortdynamik durchgeführt. Eine entscheidende Frage stellt sich darin, wie sich bei dem vorgestellten Modellkonzept die Kombination und das Zusammenwirken der Teilbereiche bewerkstelligen lassen. Eine entsprechende Koppelung ist nur sinnvoll, solange das Gesamtmodell weiterhin kontrollierbar bleibt. In diesem Sinne ist es notwendig, die Auswirkungen verschiedener Parameterkonstellationen eines Teilbereichs zu analysieren. Die Ausgaben des einen Teilbereichs könnten dann als Steuerungsparameter oder Taktgeber eines anderen Bereichs dienen. Als abschließender Ausblick werden die Notwenigkeiten und Einschränkungen der Validierung der Simulationsmodelle anhand verfügbarer Daten besprochen und das Forschungsziel einer Planung als gezielte Stabilisierung beziehungsweise Destabilisierung von Prozessen skizziert.},\n\tbooktitle = {{REAL} {CORP} 007},\n\tauthor = {Koenig, Reinhard},\n\teditor = {Schrenk, Manfred},\n\tyear = {2007},\n}\n\n
\n
\n\n\n
\n Der Beitrag präsentiert eine Methode, wie sich sowohl räumliche Strukturen, als auch individuelle und kollektive Aktivitäten einer Stadt als Spektrum von Prozessen mit unterschiedlicher Dynamik darstellen lassen. Es wird einleitend erläutert, was man unter dem Begriff Dynamik versteht. Daran anschließend wird ein Modell vorgestellt, welches von den klassischen zwei Teilbereichen einer Stadt ausgeht, die Interaktion von Standortentscheidungen und dem Erschließungssystem, welche bei den meisten urbanen Modellen als Grundlage dienen. Darauf aufbauend erfolgt eine Beschreibung der Dynamik, welche aus individuellen Verhaltensweisen resultiert. Dazu wird das Konzept eines agentenbasierten Simulationsmodells operationalisiert, indem individuelle Akteure informationstechnisch als so genannte Agenten repräsentiert werden und die bauliche Struktur einer Stadt in einzelne Objekte gegliedert wird. Auf der eingeführten Konzeption basierend wird dargelegt, wie sich innerhalb eines Teilbereichs, welcher als offenes, komplexes und sich selbst organisierendes System betrachtet wird, Sensitivitätsanalysen gegenüber den Kontrollparametern sowie Stabilitätsanalysen unter Beleuchtung kritischer Zustände vor Phasenübergängen durchführen lassen. Diese Analysen werden beispielhaft an einer Simulation der städtischen Wohnortdynamik durchgeführt. Eine entscheidende Frage stellt sich darin, wie sich bei dem vorgestellten Modellkonzept die Kombination und das Zusammenwirken der Teilbereiche bewerkstelligen lassen. Eine entsprechende Koppelung ist nur sinnvoll, solange das Gesamtmodell weiterhin kontrollierbar bleibt. In diesem Sinne ist es notwendig, die Auswirkungen verschiedener Parameterkonstellationen eines Teilbereichs zu analysieren. Die Ausgaben des einen Teilbereichs könnten dann als Steuerungsparameter oder Taktgeber eines anderen Bereichs dienen. Als abschließender Ausblick werden die Notwenigkeiten und Einschränkungen der Validierung der Simulationsmodelle anhand verfügbarer Daten besprochen und das Forschungsziel einer Planung als gezielte Stabilisierung beziehungsweise Destabilisierung von Prozessen skizziert.\n
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\n \n\n \n \n \n \n \n \n Generating urban structures.\n \n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n In Stolk, E.; and Brömmelstroet, M. t., editor(s), Model Town: Using Urban Simulation in New Town Planning. International New Town Institute, Almere, Netherlands, 2007.\n \n\n\n\n
\n\n\n\n \n \n \"GeneratingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@incollection{koenig_generating_2007,\n\taddress = {Almere, Netherlands},\n\ttitle = {Generating urban structures.},\n\tcopyright = {All rights reserved},\n\tisbn = {978-90-8506-804-4},\n\turl = {http://www.sunarchitecture.nl/books/category/urbanism/model_town_9789085068044?sort=ti&lang=en},\n\tbooktitle = {Model {Town}: {Using} {Urban} {Simulation} in {New} {Town} {Planning}},\n\tpublisher = {International New Town Institute},\n\tauthor = {Koenig, Reinhard},\n\teditor = {Stolk, Egbert and Brömmelstroet, Marco te},\n\tyear = {2007},\n}\n\n
\n
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\n \n\n \n \n \n \n \n Die Stadt der Agenten und Automaten.\n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n FORUM - Architektur & Bauforum, 05. 2007.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{koenig_stadt_2007,\n\ttitle = {Die {Stadt} der {Agenten} und {Automaten}},\n\tvolume = {05},\n\tcopyright = {All rights reserved},\n\tabstract = {PLANUNGSUNTERSTÜTZUNG DURCH DIE ANALYSE RÄUMLICHER PROZESSE MITTELS COMPUTERSIMULATIONEN. Erst wenn man – zumindest im Prinzip – versteht, wie eine Stadt mit ihren komplexen, verwobenen Vorgängen im Wesentlichen funktioniert, ist eine sinnvolle Stadtplanung möglich. Denn jede Planung bedeutet einen Eingriff in den komplexen Organismus einer Stadt. Findet dieser Eingriff ohne Wissen über die Funktionsweise des Organis- mus statt, können auch die Auswirkungen nicht abgeschätzt werden. Dieser Beitrag stellt dar, wie urbane Pro- zesse mittels Computersimulationen unter Zuhilfenahme so genannter Multi-Agenten-Systeme und Zellulärer Automaten verstanden werden können. von},\n\tjournal = {FORUM - Architektur \\& Bauforum},\n\tauthor = {Koenig, Reinhard},\n\tyear = {2007},\n}\n\n
\n
\n\n\n
\n PLANUNGSUNTERSTÜTZUNG DURCH DIE ANALYSE RÄUMLICHER PROZESSE MITTELS COMPUTERSIMULATIONEN. Erst wenn man – zumindest im Prinzip – versteht, wie eine Stadt mit ihren komplexen, verwobenen Vorgängen im Wesentlichen funktioniert, ist eine sinnvolle Stadtplanung möglich. Denn jede Planung bedeutet einen Eingriff in den komplexen Organismus einer Stadt. Findet dieser Eingriff ohne Wissen über die Funktionsweise des Organis- mus statt, können auch die Auswirkungen nicht abgeschätzt werden. Dieser Beitrag stellt dar, wie urbane Pro- zesse mittels Computersimulationen unter Zuhilfenahme so genannter Multi-Agenten-Systeme und Zellulärer Automaten verstanden werden können. von\n
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\n \n\n \n \n \n \n \n Utilization of multi-criteria optimization for housing layout in urban areas.\n \n \n \n\n\n \n Koenig, R.; and Schneider, S.\n\n\n \n\n\n\n , 28(2001): 8093–8093. 2007.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{koenig_utilization_2007,\n\ttitle = {Utilization of multi-criteria optimization for housing layout in urban areas},\n\tvolume = {28},\n\tcopyright = {All rights reserved},\n\tnumber = {2001},\n\tauthor = {Koenig, Reinhard and Schneider, Sven},\n\tyear = {2007},\n\tpages = {8093--8093},\n}\n\n
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\n  \n 2006\n \n \n (2)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Computer-supported simulations for urban planning.\n \n \n \n\n\n \n Bauriedel, C.; Donath, D.; and Koenig, R.\n\n\n \n\n\n\n In Gürlebeck, K; Hempel, L; and Könke, C, editor(s), International Conference on the Applications of Computer Science and Mathematics in Architecture and Civil Engineering (IKM), 2006. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{bauriedel_computer-supported_2006,\n\ttitle = {Computer-supported simulations for urban planning.},\n\tcopyright = {All rights reserved},\n\tbooktitle = {International {Conference} on the {Applications} of {Computer} {Science} and {Mathematics} in {Architecture} and {Civil} {Engineering} ({IKM})},\n\tauthor = {Bauriedel, Christian and Donath, Dirk and Koenig, Reinhard},\n\teditor = {Gürlebeck, K and Hempel, L and Könke, C},\n\tyear = {2006},\n}\n\n
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\n \n\n \n \n \n \n \n Modular System of Simulation Patterns for a Spatial-Processes Laboratory.\n \n \n \n\n\n \n Koenig, R.; and Bauriedel, C.\n\n\n \n\n\n\n In Jann, B., editor(s), ICA Workshop on Geospatial Analysis and Modeling, 2006. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{koenig_modular_2006,\n\ttitle = {Modular {System} of {Simulation} {Patterns} for a {Spatial}-{Processes} {Laboratory}.},\n\tcopyright = {All rights reserved},\n\tabstract = {Until recently, the only possible way to examine the theoretical basis of an urban planning project was to realize the project and explore the effects of such a ‘field experiment’ on its environment in real time. The problem is that on the evaluation of an urban project, the results are mostly limited to qualitative conclusions. Long-term analyses to produce quantitative statements are rare. Thus, a falsification of basic planning theories is very difficult in what can be identified as the reason for the existence of so many individual theories in urban planning. The causes for this can be found, on the one hand, in the methodological difficulties of such long-term analyses and on the other hand, in the lack of interest of the people involved and their skeptical attitude on scientific methods in the practical planning purposes, in general. In this paper, we want to show an alternative way to examine particular planning theories by proposing a virtual laboratory for the exploration of spatial processes. For that purpose, geosimulation offers relatively new simulation techniques like cellular automata (CA) and multi agent systems (MAS), which allow the modeling of urban theory. By creating scenario models with the help of these components (CA and MAS), the effects of different planning theories can be observed in a laboratory environment over any period. The scientific findings are based on the interplay of theory and simulation. A scenario model is composed of subordinate simulation parts, in the following patterns referred to as simulation patterns. These patterns are designed on different levels of complexity as regards functionality; also, they can involve each other. Such a collection of simulation patterns could be the basis for a geographically object library.},\n\tbooktitle = {{ICA} {Workshop} on {Geospatial} {Analysis} and {Modeling}},\n\tauthor = {Koenig, Reinhard and Bauriedel, Christian},\n\teditor = {Jann, Benn},\n\tyear = {2006},\n}\n\n
\n
\n\n\n
\n Until recently, the only possible way to examine the theoretical basis of an urban planning project was to realize the project and explore the effects of such a ‘field experiment’ on its environment in real time. The problem is that on the evaluation of an urban project, the results are mostly limited to qualitative conclusions. Long-term analyses to produce quantitative statements are rare. Thus, a falsification of basic planning theories is very difficult in what can be identified as the reason for the existence of so many individual theories in urban planning. The causes for this can be found, on the one hand, in the methodological difficulties of such long-term analyses and on the other hand, in the lack of interest of the people involved and their skeptical attitude on scientific methods in the practical planning purposes, in general. In this paper, we want to show an alternative way to examine particular planning theories by proposing a virtual laboratory for the exploration of spatial processes. For that purpose, geosimulation offers relatively new simulation techniques like cellular automata (CA) and multi agent systems (MAS), which allow the modeling of urban theory. By creating scenario models with the help of these components (CA and MAS), the effects of different planning theories can be observed in a laboratory environment over any period. The scientific findings are based on the interplay of theory and simulation. A scenario model is composed of subordinate simulation parts, in the following patterns referred to as simulation patterns. These patterns are designed on different levels of complexity as regards functionality; also, they can involve each other. Such a collection of simulation patterns could be the basis for a geographically object library.\n
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\n  \n 2005\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Simulation und Visualisierung der Dynamik räumlicher Prozesse.\n \n \n \n \n\n\n \n Koenig, R.\n\n\n \n\n\n\n In Schrenk, M., editor(s), CORP & Geomultimedia, 2005. \n \n\n\n\n
\n\n\n\n \n \n \"SimulationPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{koenig_simulation_2005,\n\ttitle = {Simulation und {Visualisierung} der {Dynamik} räumlicher {Prozesse}},\n\tcopyright = {All rights reserved},\n\turl = {http://www.entwurfsforschung.de/Theorie/060130_RK_SimulationProzesse.pdf},\n\tabstract = {Städtische Strukturen resultieren aus verschiedenen kontinuierlich ablaufenden, sich wechselseitig beeinflussenden Prozessen. Stellt man das Erscheinungsbild einer Stadt zu einem bestimmten Zeit- punkt dar, erhält man lediglich eine Momentaufnahme dieses dynamischen Systems. Ziel des im Fol- genden beschriebenen Projekts ist die Repräsentation der Stadt als kontinuierlicher Prozess. Das Tätigkeitsfeld der Raumplanung umfasst die Organisation räumlicher Strukturen und deren Wechselwirkungen mit gesellschaftlichen Prozessen. Planung bedeutet stets die konzeptionelle Vor- wegnahme noch nicht existierender Zustände. Dabei konzentriert sich die gegenwärtige Praxis der Planung lediglich auf den Vergleich von Soll und Ist. Wesentlich für eine nachhaltige Stadtentwick- lung wäre aber eine Auseinandersetzung mit den Prozessen, die zu den jeweiligen Zuständen geführt haben bzw. führen sollen. Sowohl eine eingehende Analyse der für die städtische Entwicklung rele- vanten Zusammenhänge als auch ein bewusster Umgang mit der Dynamik und den zeitlichen Eigen- schaften von Prozessen sind der räumlichen Planung fremd geblieben. Dementsprechend sind Pläne immer noch statische Repräsentationen, während solche in der Form dynamischer Karten nicht be- kannt sind. Für eine Visualisierung räumlicher Prozesse ist zuerst einmal die städtische Dynamik in Raum und Zeit zu simulieren. Grundlage dieser Simulation ist eine ‚bottom-up’ Beschreibung urbaner Vorgänge mittels mathematischer Modelle, welche in einem weiteren Schritt für eine computertechnische Verar- beitung in Algorithmen übertragen werden. Der Verlauf der Berechnungen und die Entwicklung des Systems sollen grafisch dargestellt werden.},\n\tbooktitle = {{CORP} \\& {Geomultimedia}},\n\tauthor = {Koenig, Reinhard},\n\teditor = {Schrenk, Manfred},\n\tyear = {2005},\n}\n\n
\n
\n\n\n
\n Städtische Strukturen resultieren aus verschiedenen kontinuierlich ablaufenden, sich wechselseitig beeinflussenden Prozessen. Stellt man das Erscheinungsbild einer Stadt zu einem bestimmten Zeit- punkt dar, erhält man lediglich eine Momentaufnahme dieses dynamischen Systems. Ziel des im Fol- genden beschriebenen Projekts ist die Repräsentation der Stadt als kontinuierlicher Prozess. Das Tätigkeitsfeld der Raumplanung umfasst die Organisation räumlicher Strukturen und deren Wechselwirkungen mit gesellschaftlichen Prozessen. Planung bedeutet stets die konzeptionelle Vor- wegnahme noch nicht existierender Zustände. Dabei konzentriert sich die gegenwärtige Praxis der Planung lediglich auf den Vergleich von Soll und Ist. Wesentlich für eine nachhaltige Stadtentwick- lung wäre aber eine Auseinandersetzung mit den Prozessen, die zu den jeweiligen Zuständen geführt haben bzw. führen sollen. Sowohl eine eingehende Analyse der für die städtische Entwicklung rele- vanten Zusammenhänge als auch ein bewusster Umgang mit der Dynamik und den zeitlichen Eigen- schaften von Prozessen sind der räumlichen Planung fremd geblieben. Dementsprechend sind Pläne immer noch statische Repräsentationen, während solche in der Form dynamischer Karten nicht be- kannt sind. Für eine Visualisierung räumlicher Prozesse ist zuerst einmal die städtische Dynamik in Raum und Zeit zu simulieren. Grundlage dieser Simulation ist eine ‚bottom-up’ Beschreibung urbaner Vorgänge mittels mathematischer Modelle, welche in einem weiteren Schritt für eine computertechnische Verar- beitung in Algorithmen übertragen werden. Der Verlauf der Berechnungen und die Entwicklung des Systems sollen grafisch dargestellt werden.\n
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\n \n\n \n \n \n \n \n Simulationsprogramm für komplexere Stadtplanung.\n \n \n \n\n\n \n Koenig, R.; and Bauriedel, C.\n\n\n \n\n\n\n Autodesk iNews. 2005.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{koenig_simulationsprogramm_2005,\n\ttitle = {Simulationsprogramm für komplexere {Stadtplanung}},\n\tcopyright = {All rights reserved},\n\tjournal = {Autodesk iNews},\n\tauthor = {Koenig, Reinhard and Bauriedel, Christian},\n\tyear = {2005},\n}\n\n
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\n  \n 2004\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Computergenerierte Stadtstrukturen.\n \n \n \n \n\n\n \n Koenig, R.; and Bauriedel, C.\n\n\n \n\n\n\n Eigenverlag, München, 2004.\n \n\n\n\n
\n\n\n\n \n \n \"ComputergeneriertePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{koenig_computergenerierte_2004,\n\taddress = {München},\n\ttitle = {Computergenerierte {Stadtstrukturen}},\n\tcopyright = {All rights reserved},\n\turl = {http://entwurfsforschung.de/urbandesign/urbanstructures/},\n\tpublisher = {Eigenverlag},\n\tauthor = {Koenig, Reinhard and Bauriedel, Christian},\n\tyear = {2004},\n}\n\n
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\n \n\n \n \n \n \n \n \n Computer-generated Urban Structures.\n \n \n \n \n\n\n \n Koenig, R.; and Bauriedel, C.\n\n\n \n\n\n\n In Generative Art Conference, 2004. \n \n\n\n\n
\n\n\n\n \n \n \"Computer-generatedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{koenig_computer-generated_2004,\n\ttitle = {Computer-generated {Urban} {Structures}},\n\tcopyright = {All rights reserved},\n\turl = {http://www.generativeart.com/on/cic/papersGA2004/b29.htm},\n\tabstract = {How does it come to particular structure formations in the cities and which strengths play a role in this process? On which elements can the phenomena be reduced to find the respective combination rules? How do general principles have to be formulated to be able to describe the urban processes so that different structural qualities can be produced? With the aid of mathematic methods, models based on four basic levels are generated in the computer, through which the connections between the elements and the rules of their interaction can be examined. Conclusions on the function of developing processes and the further urban origin can be derived.},\n\tbooktitle = {Generative {Art} {Conference}},\n\tauthor = {Koenig, Reinhard and Bauriedel, Christian},\n\tyear = {2004},\n}\n\n
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\n How does it come to particular structure formations in the cities and which strengths play a role in this process? On which elements can the phenomena be reduced to find the respective combination rules? How do general principles have to be formulated to be able to describe the urban processes so that different structural qualities can be produced? With the aid of mathematic methods, models based on four basic levels are generated in the computer, through which the connections between the elements and the rules of their interaction can be examined. Conclusions on the function of developing processes and the further urban origin can be derived.\n
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\n  \n 2003\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Entwurfsgenerator.\n \n \n \n\n\n \n Koenig, R.; and Bauriedel, C.\n\n\n \n\n\n\n In Kraft, S.; and Taraz-Breinholt, S., editor(s), archpluspreis 3: Zweifelsohne, Konzepte und Kritik der jungen Generation. Archplus Verlag, 2003.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{koenig_entwurfsgenerator_2003,\n\ttitle = {Entwurfsgenerator},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-931435-01-1},\n\tbooktitle = {archpluspreis 3: {Zweifelsohne}, {Konzepte} und {Kritik} der jungen {Generation}},\n\tpublisher = {archplus Verlag},\n\tauthor = {Koenig, Reinhard and Bauriedel, Christian},\n\teditor = {Kraft, Sabine and Taraz-Breinholt, Schirin},\n\tyear = {2003},\n}\n\n
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\n \n\n \n \n \n \n \n Innovationen.\n \n \n \n\n\n \n Koenig, R.; and Bauriedel, C.\n\n\n \n\n\n\n In H, K.; and Mähl, F, editor(s), Seil und Membrankonstruktionen. Universität Kaiserslautern, Kaiserslautern, TEK Themen edition, 2003.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{koenig_innovationen_2003,\n\taddress = {Kaiserslautern},\n\tedition = {TEK Themen},\n\ttitle = {Innovationen},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Seil und {Membrankonstruktionen}},\n\tpublisher = {Universität Kaiserslautern},\n\tauthor = {Koenig, Reinhard and Bauriedel, Christian},\n\teditor = {H, Kloft and Mähl, F},\n\tyear = {2003},\n}\n\n
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\n  \n 2002\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Entwurfsgenerator 2002.\n \n \n \n\n\n \n Koenig, R.; and Bauriedel, C.\n\n\n \n\n\n\n Ph.D. Thesis, 2002.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@phdthesis{koenig_entwurfsgenerator_2002,\n\ttitle = {Entwurfsgenerator 2002},\n\tcopyright = {All rights reserved},\n\tauthor = {Koenig, Reinhard and Bauriedel, Christian},\n\tyear = {2002},\n}\n\n
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\n \n\n \n \n \n \n \n \n MedienWerkStadt.\n \n \n \n \n\n\n \n Koenig, R.; and Bauriedel, C.\n\n\n \n\n\n\n Ph.D. Thesis, Munich University of Applied Sciences, Munich, 2002.\n \n\n\n\n
\n\n\n\n \n \n \"MedienWerkStadtPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@phdthesis{koenig_medienwerkstadt_2002,\n\taddress = {Munich},\n\ttitle = {{MedienWerkStadt}},\n\tcopyright = {All rights reserved},\n\turl = {http://www.entwurfsforschung.de/alt/Entwurfsgenerator/index.htm},\n\tabstract = {Die in dem vorliegenden Buch vorgestellten Arbeiten behandeln mediale Transformationen, deren Gegenstand vom konkreten architektonischen Artefakt bis hin zu abstrakten medialen Prozessen reicht. Transformation bezeichnet allgemein die Veränderung der Gestalt, Form oder Struktur im Möglichkeitsraum eines Mediums. Das Projektmodul setzt sich aus drei Teilen zusammen. In jedem Teil wird von zwei Professoren der Medien- und Architekturfakultät eine interdisziplinär angelegte Aufgabe hinsichtlich verschiedener theoretischer und entwurfspraktischer Schwerpunkte betreut.},\n\tschool = {Munich University of Applied Sciences},\n\tauthor = {Koenig, Reinhard and Bauriedel, Christian},\n\tyear = {2002},\n}\n\n
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\n Die in dem vorliegenden Buch vorgestellten Arbeiten behandeln mediale Transformationen, deren Gegenstand vom konkreten architektonischen Artefakt bis hin zu abstrakten medialen Prozessen reicht. Transformation bezeichnet allgemein die Veränderung der Gestalt, Form oder Struktur im Möglichkeitsraum eines Mediums. Das Projektmodul setzt sich aus drei Teilen zusammen. In jedem Teil wird von zwei Professoren der Medien- und Architekturfakultät eine interdisziplinär angelegte Aufgabe hinsichtlich verschiedener theoretischer und entwurfspraktischer Schwerpunkte betreut.\n
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