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\n  \n 2019\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n The impacts of urbanization on fine particulate matter (PM2.5) concentrations: Empirical evidence from 135 countries worldwide.\n \n \n \n\n\n \n Wang, Q.; Kwan, M.; Zhou, K.; Fan, J.; Wang, Y.; and Zhan, D.\n\n\n \n\n\n\n Environmental Pollution (Barking, Essex: 1987), 247: 989–998. April 2019.\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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@article{wang_impacts_2019,\n\ttitle = {The impacts of urbanization on fine particulate matter ({PM2}.5) concentrations: {Empirical} evidence from 135 countries worldwide},\n\tvolume = {247},\n\tissn = {1873-6424},\n\tshorttitle = {The impacts of urbanization on fine particulate matter ({PM2}.5) concentrations},\n\tdoi = {10.1016/j.envpol.2019.01.086},\n\tabstract = {Few attempts have been made to systematically investigate the impacts of urbanization on PM2.5 concentrations in countries at different stages of economic development. In this study, a broad concept of urbanization that considers the transformations in the urban economy and the transport sector induced by urbanization is proposed to investigate the influence of urbanization on national PM2.5 concentrations for underdeveloped, developing and developed countries during 1998-2014. The results indicate that urbanization has a significant relationship with PM2.5 concentrations, but the magnitude of its influence varies among groups of countries with different development levels. First, the positive response of PM2.5 concentrations to increased urbanization and transport-related emissions in underdeveloped countries are noticeably stronger than that in developing and developed countries. Second, for developing countries, urbanization, transport-related emissions and industrialization all have a significant positive effect on national PM2.5 concentrations increase, although their impacts are unexpectedly smaller than those in the other groups of countries. Finally, increasing urbanization and the decrease in CO2 emissions from manufacturing industry appear to reduce national average PM2.5 concentrations in developed countries, while the decrease in transport-related CO2 emission is likely to cause the rise in national average PM2.5 concentrations.},\n\tlanguage = {eng},\n\tjournal = {Environmental Pollution (Barking, Essex: 1987)},\n\tauthor = {Wang, Qiang and Kwan, Mei-Po and Zhou, Kan and Fan, Jie and Wang, Yafei and Zhan, Dongsheng},\n\tmonth = apr,\n\tyear = {2019},\n\tpmid = {30823354},\n\tkeywords = {Manufacturing industry, PM(2.5) concentrations, Panel data, Transport sector, Urbanization},\n\tpages = {989--998},\n}\n\n
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\n Few attempts have been made to systematically investigate the impacts of urbanization on PM2.5 concentrations in countries at different stages of economic development. In this study, a broad concept of urbanization that considers the transformations in the urban economy and the transport sector induced by urbanization is proposed to investigate the influence of urbanization on national PM2.5 concentrations for underdeveloped, developing and developed countries during 1998-2014. The results indicate that urbanization has a significant relationship with PM2.5 concentrations, but the magnitude of its influence varies among groups of countries with different development levels. First, the positive response of PM2.5 concentrations to increased urbanization and transport-related emissions in underdeveloped countries are noticeably stronger than that in developing and developed countries. Second, for developing countries, urbanization, transport-related emissions and industrialization all have a significant positive effect on national PM2.5 concentrations increase, although their impacts are unexpectedly smaller than those in the other groups of countries. Finally, increasing urbanization and the decrease in CO2 emissions from manufacturing industry appear to reduce national average PM2.5 concentrations in developed countries, while the decrease in transport-related CO2 emission is likely to cause the rise in national average PM2.5 concentrations.\n
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\n \n\n \n \n \n \n \n Effects of transit signal priority on traffic safety: Interrupted time series analysis of Portland, Oregon, implementations.\n \n \n \n\n\n \n Song, Y.; and Noyce, D.\n\n\n \n\n\n\n Accident; Analysis and Prevention, 123: 291–302. February 2019.\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 \n \n \n \n \n\n\n\n
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@article{song_effects_2019,\n\ttitle = {Effects of transit signal priority on traffic safety: {Interrupted} time series analysis of {Portland}, {Oregon}, implementations},\n\tvolume = {123},\n\tissn = {1879-2057},\n\tshorttitle = {Effects of transit signal priority on traffic safety},\n\tdoi = {10.1016/j.aap.2018.12.001},\n\tabstract = {Transit signal priority (TSP) has been implemented to transit systems in many cities of the United States. In evaluating TSP systems, more attention has been given to its operational effects than to its safety effects. Existing studies assessing TSP's safety effects reported mixed results, indicating that the safety effects of TSP vary in different contexts. In this study, TSP implementations in Portland, Oregon, were assessed using interrupted time series analysis (ITSA) on month-to-month changes in number of crashes from January 1995 to December 2010. Single-group and controlled ITSA were conducted for all crashes, property-damage-only crashes, fatal and injury crashes, pedestrian-involved crashes, and bike-involved crashes. Evaluation of the post-intervention period (2003-2010) showed a reduction in all crashes on street sections with TSP (-4.5\\%), comparing with the counterfactual estimations based on the control group data. The reduction in property-damage-only crashes (-10.0\\%) contributed the most to the overall reduction. Fatal and injury crashes leveled out after TSP implementation but did not change significantly comparing with the control group. Pedestrian and bike-involved crashes were found to increase in the post-intervention period with TSP, comparing with the control group. Potential reasons to these TSP effects on traffic safety were discussed.},\n\tlanguage = {eng},\n\tjournal = {Accident; Analysis and Prevention},\n\tauthor = {Song, Yu and Noyce, David},\n\tmonth = feb,\n\tyear = {2019},\n\tpmid = {30557754},\n\tkeywords = {Accidents, Traffic, Built Environment, Case-Control Studies, Cities, Crash, Humans, Interrupted Time Series Analysis, Interrupted time series analysis, Logistic Models, Oregon, Safety, Traffic safety, Transit signal priority, United States},\n\tpages = {291--302},\n}\n\n
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\n Transit signal priority (TSP) has been implemented to transit systems in many cities of the United States. In evaluating TSP systems, more attention has been given to its operational effects than to its safety effects. Existing studies assessing TSP's safety effects reported mixed results, indicating that the safety effects of TSP vary in different contexts. In this study, TSP implementations in Portland, Oregon, were assessed using interrupted time series analysis (ITSA) on month-to-month changes in number of crashes from January 1995 to December 2010. Single-group and controlled ITSA were conducted for all crashes, property-damage-only crashes, fatal and injury crashes, pedestrian-involved crashes, and bike-involved crashes. Evaluation of the post-intervention period (2003-2010) showed a reduction in all crashes on street sections with TSP (-4.5%), comparing with the counterfactual estimations based on the control group data. The reduction in property-damage-only crashes (-10.0%) contributed the most to the overall reduction. Fatal and injury crashes leveled out after TSP implementation but did not change significantly comparing with the control group. Pedestrian and bike-involved crashes were found to increase in the post-intervention period with TSP, comparing with the control group. Potential reasons to these TSP effects on traffic safety were discussed.\n
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\n \n\n \n \n \n \n \n Estimation of bicycle crash modification factors (CMFs) on urban facilities using zero inflated negative binomial models.\n \n \n \n\n\n \n Raihan, M. A.; Alluri, P.; Wu, W.; and Gan, A.\n\n\n \n\n\n\n Accident; Analysis and Prevention, 123: 303–313. February 2019.\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 \n \n \n \n \n \n \n\n\n\n
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@article{raihan_estimation_2019,\n\ttitle = {Estimation of bicycle crash modification factors ({CMFs}) on urban facilities using zero inflated negative binomial models},\n\tvolume = {123},\n\tissn = {1879-2057},\n\tdoi = {10.1016/j.aap.2018.12.009},\n\tabstract = {The objective of this study was to develop crash modification factors (CMFs) for bicycle crashes for different roadway segment and intersection facility types in urban areas. The study used four years (2011-2014) of crash data from Florida to quantify the safety impacts of roadway and traffic characteristics, bicycle infrastructure, and bicycle activity data on bicycle crashes. A cross-sectional analysis using Generalized Linear Model (GLM) approach with Zero Inflated Negative Binomial (ZINB) distribution was adopted to develop the relevant regression models in this study. Lane width, speed limit, and grass in the median were observed to have positive impacts on reducing bicycle crashes. On the contrary, presence of sidewalk and sidewalk barrier were found to increase the bicycle crash probabilities. Increased bicycle activity was found to reduce the bicycle crash probabilities on segments, while increased bicycle activity resulted in higher bicycle crash probabilities at intersections. Bus stops were found to increase the bicycle crash probabilities at intersections, whereas, protected signal control had a positive impact on bicycle safety. This research provides a greater insight into how various characteristics affect bicycle safety, a topic that is seldom considered by researchers and practitioners.},\n\tlanguage = {eng},\n\tjournal = {Accident; Analysis and Prevention},\n\tauthor = {Raihan, Md Asif and Alluri, Priyanka and Wu, Wensong and Gan, Albert},\n\tmonth = feb,\n\tyear = {2019},\n\tpmid = {30562669},\n\tkeywords = {Accidents, Traffic, Bicycling, Built Environment, Crash modification factor (CMF), Cross-Sectional Studies, Cross-sectional analysis, Crowdsourced bicycle activity data, Environment Design, Florida, Humans, Models, Statistical, Roadway characteristics, Safety, Zero inflated negative binomial},\n\tpages = {303--313},\n}\n\n
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\n The objective of this study was to develop crash modification factors (CMFs) for bicycle crashes for different roadway segment and intersection facility types in urban areas. The study used four years (2011-2014) of crash data from Florida to quantify the safety impacts of roadway and traffic characteristics, bicycle infrastructure, and bicycle activity data on bicycle crashes. A cross-sectional analysis using Generalized Linear Model (GLM) approach with Zero Inflated Negative Binomial (ZINB) distribution was adopted to develop the relevant regression models in this study. Lane width, speed limit, and grass in the median were observed to have positive impacts on reducing bicycle crashes. On the contrary, presence of sidewalk and sidewalk barrier were found to increase the bicycle crash probabilities. Increased bicycle activity was found to reduce the bicycle crash probabilities on segments, while increased bicycle activity resulted in higher bicycle crash probabilities at intersections. Bus stops were found to increase the bicycle crash probabilities at intersections, whereas, protected signal control had a positive impact on bicycle safety. This research provides a greater insight into how various characteristics affect bicycle safety, a topic that is seldom considered by researchers and practitioners.\n
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\n \n\n \n \n \n \n \n Validating the bivariate extreme value modeling approach for road safety estimation with different traffic conflict indicators.\n \n \n \n\n\n \n Zheng, L.; Sayed, T.; and Essa, M.\n\n\n \n\n\n\n Accident; Analysis and Prevention, 123: 314–323. February 2019.\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 \n \n \n \n \n \n \n\n\n\n
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@article{zheng_validating_2019,\n\ttitle = {Validating the bivariate extreme value modeling approach for road safety estimation with different traffic conflict indicators},\n\tvolume = {123},\n\tissn = {1879-2057},\n\tdoi = {10.1016/j.aap.2018.12.007},\n\tabstract = {A range of conflict indicators have been developed for traffic conflict observation. The various conflict indicators have been shown in earlier studies to be of different and sometimes independent nature. Therefore, there is a need to combine different indicators to gain better understanding of the underlying severity of traffic events and for more reliable safety analysis. This study proposes a bivariate extreme value model to integrate different traffic conflict indicators for road safety estimation, and the model is validated with actual crash data. Based on video data collected from four signalized intersections in two Canadian cities, computer vision techniques were utilized to identify rear-end traffic conflicts using several indicators. The conflict indicators included: time to collision (TTC), modified time to collision (MTTC), post encroachment time (PET), and deceleration to avoid crash (DRAC). Then bivariate extreme value models were developed for combinations of each two indicators, and the numbers of crashes were estimated from the models and compared to the observed crashes. The results show that most of the estimated crashes are in the range of 95\\% Poisson confidence interval of observed crashes, which indicates that the bivariate extreme value model is a promising tool for road safety estimation. Moreover, the accuracy of estimated crashes are different for different indicator combinations. The results show that the estimates of TTC\\&PET are the most accurate, followed by TTC\\&MTTC, TTC\\&DRAC, PET\\&MTTC, PET\\&DRAC and MTTC\\&DRAC. A further correlation analysis suggests that a combination of two independent conflict indicators leads to better crash estimation performance.},\n\tlanguage = {eng},\n\tjournal = {Accident; Analysis and Prevention},\n\tauthor = {Zheng, Lai and Sayed, Tarek and Essa, Mohamed},\n\tmonth = feb,\n\tyear = {2019},\n\tpmid = {30562670},\n\tkeywords = {Accidents, Traffic, Bivariate extreme value model, Built Environment, Canada, Cities, Deceleration, Humans, Indicator combination, Models, Statistical, Risk Assessment, Road safety estimation, Safety, Traffic conflict, Validation},\n\tpages = {314--323},\n}\n\n
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\n\n\n
\n A range of conflict indicators have been developed for traffic conflict observation. The various conflict indicators have been shown in earlier studies to be of different and sometimes independent nature. Therefore, there is a need to combine different indicators to gain better understanding of the underlying severity of traffic events and for more reliable safety analysis. This study proposes a bivariate extreme value model to integrate different traffic conflict indicators for road safety estimation, and the model is validated with actual crash data. Based on video data collected from four signalized intersections in two Canadian cities, computer vision techniques were utilized to identify rear-end traffic conflicts using several indicators. The conflict indicators included: time to collision (TTC), modified time to collision (MTTC), post encroachment time (PET), and deceleration to avoid crash (DRAC). Then bivariate extreme value models were developed for combinations of each two indicators, and the numbers of crashes were estimated from the models and compared to the observed crashes. The results show that most of the estimated crashes are in the range of 95% Poisson confidence interval of observed crashes, which indicates that the bivariate extreme value model is a promising tool for road safety estimation. Moreover, the accuracy of estimated crashes are different for different indicator combinations. The results show that the estimates of TTC&PET are the most accurate, followed by TTC&MTTC, TTC&DRAC, PET&MTTC, PET&DRAC and MTTC&DRAC. A further correlation analysis suggests that a combination of two independent conflict indicators leads to better crash estimation performance.\n
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\n \n\n \n \n \n \n \n National-level environmental perceptions and walking among urban and rural residents: Informing surveillance of walkability.\n \n \n \n\n\n \n Whitfield, G. P.; Carlson, S. A.; Ussery, E. N.; Watson, K. B.; Berrigan, D.; and Fulton, J. E.\n\n\n \n\n\n\n Preventive Medicine, 123: 101–108. March 2019.\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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@article{whitfield_national-level_2019,\n\ttitle = {National-level environmental perceptions and walking among urban and rural residents: {Informing} surveillance of walkability},\n\tvolume = {123},\n\tissn = {1096-0260},\n\tshorttitle = {National-level environmental perceptions and walking among urban and rural residents},\n\tdoi = {10.1016/j.ypmed.2019.03.019},\n\tabstract = {Built environments that provide activity-friendly routes (e.g., sidewalks) to everyday destinations (e.g., shops) can increase physical activity. Surveillance of supports and destinations is important, and identifying which are associated with walking could prioritize surveillance questions. Our purpose was to identify the significant associations between supports and destinations with walking among a nationally-representative sample of urban- and rural-dwelling adults. Participants in the 2015 National Health Interview Survey, Cancer Control Supplement (n = 29,925) reported the near-home presence of walkable supports (roads, sidewalks, paths, or trails; sidewalks on most streets), destinations (shops; transit; movies, libraries, or churches; relaxing places), and past-week walking for leisure or transportation. We used stepwise logistic regression to quantify associations between supports and destinations and walking, including by urban/rural residence. We calculated the prevalence of walking across counts of reported elements by urban/rural residence. Among all participants, roads, sidewalks, paths, or trails and relaxing destinations were associated with leisure walking. Among urban residents, sidewalks on most streets and all four destination types were associated with transportation walking; among rural residents, roads, sidewalks, paths, or trails; movies, libraries, or churches; and relaxing destinations were associated with transportation walking. Walking was more common when more environmental elements were reported. To improve efficiency, communities may match surveillance priorities to behavioral priorities (i.e., leisure versus transportation walking) and environmental context (i.e., urban/rural areas). Surveillance of environments supporting leisure walking might focus on recreation-oriented spaces. Surveillance of environments supporting transportation walking might differ for urban and rural areas, and assessing destinations may be particularly important.},\n\tlanguage = {eng},\n\tjournal = {Preventive Medicine},\n\tauthor = {Whitfield, Geoffrey P. and Carlson, Susan A. and Ussery, Emily N. and Watson, Kathleen B. and Berrigan, David and Fulton, Janet E.},\n\tmonth = mar,\n\tyear = {2019},\n\tpmid = {30878571},\n\tkeywords = {Built environment, Physical activity, Public health surveillance, Rural, Walking},\n\tpages = {101--108},\n}\n\n
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\n Built environments that provide activity-friendly routes (e.g., sidewalks) to everyday destinations (e.g., shops) can increase physical activity. Surveillance of supports and destinations is important, and identifying which are associated with walking could prioritize surveillance questions. Our purpose was to identify the significant associations between supports and destinations with walking among a nationally-representative sample of urban- and rural-dwelling adults. Participants in the 2015 National Health Interview Survey, Cancer Control Supplement (n = 29,925) reported the near-home presence of walkable supports (roads, sidewalks, paths, or trails; sidewalks on most streets), destinations (shops; transit; movies, libraries, or churches; relaxing places), and past-week walking for leisure or transportation. We used stepwise logistic regression to quantify associations between supports and destinations and walking, including by urban/rural residence. We calculated the prevalence of walking across counts of reported elements by urban/rural residence. Among all participants, roads, sidewalks, paths, or trails and relaxing destinations were associated with leisure walking. Among urban residents, sidewalks on most streets and all four destination types were associated with transportation walking; among rural residents, roads, sidewalks, paths, or trails; movies, libraries, or churches; and relaxing destinations were associated with transportation walking. Walking was more common when more environmental elements were reported. To improve efficiency, communities may match surveillance priorities to behavioral priorities (i.e., leisure versus transportation walking) and environmental context (i.e., urban/rural areas). Surveillance of environments supporting leisure walking might focus on recreation-oriented spaces. Surveillance of environments supporting transportation walking might differ for urban and rural areas, and assessing destinations may be particularly important.\n
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\n  \n 2018\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Development of a Neighbourhood Walkability Index for Porto Metropolitan Area. How Strongly Is Walkability Associated with Walking for Transport?.\n \n \n \n\n\n \n Ribeiro, A. I.; and Hoffimann, E.\n\n\n \n\n\n\n International Journal of Environmental Research and Public Health, 15(12). 2018.\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 \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{ribeiro_development_2018,\n\ttitle = {Development of a {Neighbourhood} {Walkability} {Index} for {Porto} {Metropolitan} {Area}. {How} {Strongly} {Is} {Walkability} {Associated} with {Walking} for {Transport}?},\n\tvolume = {15},\n\tissn = {1660-4601},\n\tdoi = {10.3390/ijerph15122767},\n\tabstract = {The creation of walkable communities constitutes a cost-effective health promotion strategy, as walking is an accessible and free intervention for increasing physical activity and health. In this cross-sectional ecological study, we developed a walkability index for the Porto Metropolitan Area and we validated it by assessing its association with walking for transportation. Neighborhood walkability was measured using a geographic information system and resulted from the weighted sum of residential density, street connectivity, and a destination-based entropy index. The index was categorized into quintiles of increasing walkability. Among the 1,112,555 individuals living in the study area, 28.1\\% resided in neighborhoods in the upper quintile of walkability and 15.8\\% resided in the least walkable neighborhoods. Adjusted regression models revealed that individuals residing in the most walkable neighborhoods are 81\\% more likely to report walking for transportation, compared with those from the least walkable neighborhoods (odds ratio: 1.81; 95\\% confidence intervals: 1.76⁻1.87). These results suggest that community design strategies to improve walkability may promote walking behavior.},\n\tlanguage = {eng},\n\tnumber = {12},\n\tjournal = {International Journal of Environmental Research and Public Health},\n\tauthor = {Ribeiro, Ana Isabel and Hoffimann, Elaine},\n\tyear = {2018},\n\tpmid = {30563290},\n\tkeywords = {Adolescent, Adult, Cross-Sectional Studies, Environment Design, Female, Geographic Information Systems, Health Promotion, Humans, Male, Middle Aged, Portugal, Residence Characteristics, Transportation, Urban Population, Walking, Young Adult, built environment, health promotion, physical activity, urban form, urban health, walking},\n}\n\n
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\n The creation of walkable communities constitutes a cost-effective health promotion strategy, as walking is an accessible and free intervention for increasing physical activity and health. In this cross-sectional ecological study, we developed a walkability index for the Porto Metropolitan Area and we validated it by assessing its association with walking for transportation. Neighborhood walkability was measured using a geographic information system and resulted from the weighted sum of residential density, street connectivity, and a destination-based entropy index. The index was categorized into quintiles of increasing walkability. Among the 1,112,555 individuals living in the study area, 28.1% resided in neighborhoods in the upper quintile of walkability and 15.8% resided in the least walkable neighborhoods. Adjusted regression models revealed that individuals residing in the most walkable neighborhoods are 81% more likely to report walking for transportation, compared with those from the least walkable neighborhoods (odds ratio: 1.81; 95% confidence intervals: 1.76⁻1.87). These results suggest that community design strategies to improve walkability may promote walking behavior.\n
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\n \n\n \n \n \n \n \n Politique de mobilité durable: perspectives de santé publique: mémoire déposé dans le cadre de la consultation publique en vue de l'adoption d'une politique de mobilité durable.\n \n \n \n\n\n \n national de santé publique du Québec, I.; Lavoie, M.; Lapointe, G.; Labonté, N.; Chaussé, K.; Campagna, C.; Smargiassi, A.; Laplante, L.; Allard, R.; Martin, R.; national de santé publique du Québec, I.; and national de santé publique du Québec, I.,\n editors.\n \n\n\n \n\n\n\n Institut national de santé publique du Québec, Montréal, 2017.\n \n\n\n\n
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@book{institut_national_de_sante_publique_du_quebec_politique_2017,\n\taddress = {Montréal},\n\ttitle = {Politique de mobilité durable: perspectives de santé publique: mémoire déposé dans le cadre de la consultation publique en vue de l'adoption d'une politique de mobilité durable},\n\tisbn = {978-2-550-79259-8},\n\tshorttitle = {Politique de mobilité durable},\n\tabstract = {L’expertise de l’INSPQ dans ce dossier s’appuie sur différents travaux et avis scientifiques qu’il a réalisés sur la mobilité durable, mais aussi, sur l’environnement bâti, le transport actif, le bruit environnemental, la sécurité routière, le transport de matières dangereuses, les changements climatiques et la réduction des émissions polluantes. L’expertise en transport actif sécuritaire développée par le Centre de collaboration nationale sur les politiques publiques et la santé (CCNPPS), centre hébergé par l’INSPQ, a aussi été utile. Le présent mémoire s’inscrit dans la continuité de plusieurs travaux et documents publiés par l’INSPQ, particulièrement son mémoire concernant la Politique québécoise de mobilité durable (juin 2013) et celui au regard de la sécurité routière (janvier 2017)},\n\tpublisher = {Institut national de santé publique du Québec},\n\teditor = {Institut national de santé publique du Québec and Lavoie, Michel and Lapointe, Geneviève and Labonté, Nathalie and Chaussé, Karine and Campagna, Céline and Smargiassi, Audrey and Laplante, Lise and Allard, Rollande and Martin, Richard and Institut national de santé publique du Québec and Institut national de santé publique du Québec},\n\tyear = {2017},\n\tkeywords = {Choix des modes, Infrastructures de transport, Mobilité durable (Transport), Québec (Province), Sécurité routière, Transport, Transports publics},\n}\n\n
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\n L’expertise de l’INSPQ dans ce dossier s’appuie sur différents travaux et avis scientifiques qu’il a réalisés sur la mobilité durable, mais aussi, sur l’environnement bâti, le transport actif, le bruit environnemental, la sécurité routière, le transport de matières dangereuses, les changements climatiques et la réduction des émissions polluantes. L’expertise en transport actif sécuritaire développée par le Centre de collaboration nationale sur les politiques publiques et la santé (CCNPPS), centre hébergé par l’INSPQ, a aussi été utile. Le présent mémoire s’inscrit dans la continuité de plusieurs travaux et documents publiés par l’INSPQ, particulièrement son mémoire concernant la Politique québécoise de mobilité durable (juin 2013) et celui au regard de la sécurité routière (janvier 2017)\n
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\n \n\n \n \n \n \n \n Des gains encore possibles en sécurité routière: perspective de santé publique: mémoire déposé à la Société de l'assurance automobile du Québec.\n \n \n \n\n\n \n national de santé publique du Québec, I.; Lavoie, M.; Gagnon, F.; Blais, É.; Chapados, M.; national de santé publique du Québec, I.; and national de santé publique du Québec, I.,\n editors.\n \n\n\n \n\n\n\n Institut national de santé publique du Québec, Montréal, 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 \n \n \n \n \n \n \n \n \n\n\n\n
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@book{institut_national_de_sante_publique_du_quebec_gains_2017,\n\taddress = {Montréal},\n\ttitle = {Des gains encore possibles en sécurité routière: perspective de santé publique: mémoire déposé à la {Société} de l'assurance automobile du {Québec}},\n\tisbn = {978-2-550-77803-5},\n\tshorttitle = {Des gains encore possibles en sécurité routière},\n\tabstract = {Ce mémoire est déposé dans le cadre de la consultation publique intitulée La sécurité routière, ça nous concerne tous!. Cette consultation, pilotée conjointement par la Société de l’assurance automobile du Québec (SAAQ) et le ministère des Transports, de la Mobilité durable et de l’Électrification des Transports (MTMDET), soulève plusieurs enjeux de santé publique en lien avec le Code de la sécurité routière ainsi que l’aménagement d’infrastructures de transports pour lesquels l’INSPQ souhaite apporter un éclairage scientifique.\n\nL’expertise de l’INSPQ dans ce dossier s’appuie sur différents travaux ou avis scientifiques réalisés en surveillance et prévention des traumatismes, par exemple sur la vitesse, l’alcool au volant, le port du casque à vélo ou encore les dispositifs de retenue pour enfants en voiture. Le présent mémoire synthétise d’ailleurs certains contenus de documents à paraître ou déjà publiés par l’INSPQ.\n\nL’INSPQ a également suivi de près les travaux de la Table québécoise de sécurité routière (TQSR) en y participant activement depuis sa création en 2005. D’autres expertises propres aux domaines de la santé environnementale, des saines habitudes de vie et des politiques publiques sont par ailleurs mises à contribution, notamment afin d’aborder les enjeux de mobilité durable et de transport actif sécuritaire},\n\tpublisher = {Institut national de santé publique du Québec},\n\teditor = {Institut national de santé publique du Québec and Lavoie, Michel and Gagnon, François and Blais, Étienne and Chapados, Maude and Institut national de santé publique du Québec and Institut national de santé publique du Québec},\n\tyear = {2017},\n\tkeywords = {Choix des modes, Infrastructures de transport, Québec (Province), Sécurité routière, Transport, Transports actifs, Transports publics},\n}\n\n
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\n Ce mémoire est déposé dans le cadre de la consultation publique intitulée La sécurité routière, ça nous concerne tous!. Cette consultation, pilotée conjointement par la Société de l’assurance automobile du Québec (SAAQ) et le ministère des Transports, de la Mobilité durable et de l’Électrification des Transports (MTMDET), soulève plusieurs enjeux de santé publique en lien avec le Code de la sécurité routière ainsi que l’aménagement d’infrastructures de transports pour lesquels l’INSPQ souhaite apporter un éclairage scientifique. L’expertise de l’INSPQ dans ce dossier s’appuie sur différents travaux ou avis scientifiques réalisés en surveillance et prévention des traumatismes, par exemple sur la vitesse, l’alcool au volant, le port du casque à vélo ou encore les dispositifs de retenue pour enfants en voiture. Le présent mémoire synthétise d’ailleurs certains contenus de documents à paraître ou déjà publiés par l’INSPQ. L’INSPQ a également suivi de près les travaux de la Table québécoise de sécurité routière (TQSR) en y participant activement depuis sa création en 2005. D’autres expertises propres aux domaines de la santé environnementale, des saines habitudes de vie et des politiques publiques sont par ailleurs mises à contribution, notamment afin d’aborder les enjeux de mobilité durable et de transport actif sécuritaire\n
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\n \n\n \n \n \n \n \n \n Réseau Santécom Koha › Détails pour: Rendre l'environnement bâti favorable à la pratique du vélo en toute sécurité ! /.\n \n \n \n \n\n\n \n \n\n\n \n\n\n\n \n \n\n\n\n
\n\n\n\n \n \n \"RéseauPaper\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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@misc{noauthor_reseau_nodate,\n\ttitle = {Réseau {Santécom} {Koha} › {Détails} pour: {Rendre} l'environnement bâti favorable à la pratique du vélo en toute sécurité ! /},\n\turl = {https://catalogue.santecom.qc.ca/cgi-bin/koha/opac-detail.pl?biblionumber=101533},\n\turldate = {2019-03-05},\n}\n
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