Quantitative tools in urban morphology: Combining space syntax, spacematrix and mixed-use index in a GIS framework. Ye, Y. & Van Nes, A. Urban Morphology, 18(2):97-118, 2014.
abstract   bibtex   
A spatial modelling method is presented that utilizes a Geo- graphical Information System (GIS) to combine the analyses of three constituent elements of urban form recognized by M. R. G. Conzen. The aim is to produce a spatial classification system for various types of urban areas, and reveal how they perform socio-economically. In the proposed method, space syntax, spacematrix, and mixed-use index (MXI) are used to assess street-network integration, building density, and land-use mixture. These elements are incorporated into a single framework. The validity of the method is initially tested through human behaviour records based on Global Positioning System (GPS) tracking. The method is then used in a comparison of the various spatial parameters of three new towns and one old town in the Netherlands. The results show that the old town has higher values of street- network integration, building density, and land-use mixture than the new towns. The method functions well as a diagnostic tool for suggesting ways of improving socio-economic performance in urban areas. For example a spatial diagnosis can be made for new towns suffering from a lack of vibrant street life. The method helps to reveal the interdependences of street-network integration, building density, and land-use mixture in urban transformation processes.
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 title = {Quantitative tools in urban morphology: Combining space syntax, spacematrix and mixed-use index in a GIS framework},
 type = {article},
 year = {2014},
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 keywords = {Building density,Integrated approach,Land-use mixture,Netherlands,Street-network integration},
 pages = {97-118},
 volume = {18},
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 abstract = {A spatial modelling method is presented that utilizes a Geo- graphical Information System (GIS) to combine the analyses of three constituent elements of urban form recognized by M. R. G. Conzen. The aim is to produce a spatial classification system for various types of urban areas, and reveal how they perform socio-economically. In the proposed method, space syntax, spacematrix, and mixed-use index (MXI) are used to assess street-network integration, building density, and land-use mixture. These elements are incorporated into a single framework. The validity of the method is initially tested through human behaviour records based on Global Positioning System (GPS) tracking. The method is then used in a comparison of the various spatial parameters of three new towns and one old town in the Netherlands. The results show that the old town has higher values of street- network integration, building density, and land-use mixture than the new towns. The method functions well as a diagnostic tool for suggesting ways of improving socio-economic performance in urban areas. For example a spatial diagnosis can be made for new towns suffering from a lack of vibrant street life. The method helps to reveal the interdependences of street-network integration, building density, and land-use mixture in urban transformation processes.},
 bibtype = {article},
 author = {Ye, Yu and Van Nes, Akkelies},
 journal = {Urban Morphology},
 number = {2}
}

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