Effect of built environment factors on pedestrian safety in Portuguese urban areas

Detalhes bibliográficos
Autor(a) principal: Acela, Leidy Marcela Baron
Data de Publicação: 2021
Outros Autores: Otila da Costa, Jocilene, Soares, Francisco Emanuel Cunha, Faria, Susana, Prudêncio Jacques, Maria Alice, Freitas, E. F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/74101
Resumo: This paper identifies and analyzes variables that influence pedestrian safety based on the definition of models of pedestrian crash frequency for urban areas in Portugal. It considers three groups of explanatory variables, namely: (i) built environment; (ii) pedestrian infrastructure, and (iii) road infrastructure, as well as exposure variables combining pedestrian and vehicular traffic volumes. Data on the 16 variables considered were gathered from locations in the counties of Braga and Guimarães. The inclusion of pedestrian infrastructure variables in studies of this type is an innovation that allows for measuring the impacts of the dimensions recommended for this type of infrastructure and assessing the implementation of policies to support the mobility of vulnerable users, especially pedestrians. Examples of such variables are unobstructed space for pedestrian mobility and the recommendable distance separating regulated crossings. Zero-Truncated Negative Binomial Regression Models (ZTNB) and Generalized Estimation Equations (GEE) are used to develop crash prediction models. Results show that in addition to the variables identified in similar studies such as carriageway width, other statistically significant variables like longitudinal slope and distance between crosswalks have a negative influence on pedestrian safety. On-street parking places, one-way streets, and the existence of raised medians have an opposite contribution to safety.
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spelling Effect of built environment factors on pedestrian safety in Portuguese urban areasPedestrian safetyRoad infrastructureBuilt environmentUrban areasRoad safetyScience & TechnologyThis paper identifies and analyzes variables that influence pedestrian safety based on the definition of models of pedestrian crash frequency for urban areas in Portugal. It considers three groups of explanatory variables, namely: (i) built environment; (ii) pedestrian infrastructure, and (iii) road infrastructure, as well as exposure variables combining pedestrian and vehicular traffic volumes. Data on the 16 variables considered were gathered from locations in the counties of Braga and Guimarães. The inclusion of pedestrian infrastructure variables in studies of this type is an innovation that allows for measuring the impacts of the dimensions recommended for this type of infrastructure and assessing the implementation of policies to support the mobility of vulnerable users, especially pedestrians. Examples of such variables are unobstructed space for pedestrian mobility and the recommendable distance separating regulated crossings. Zero-Truncated Negative Binomial Regression Models (ZTNB) and Generalized Estimation Equations (GEE) are used to develop crash prediction models. Results show that in addition to the variables identified in similar studies such as carriageway width, other statistically significant variables like longitudinal slope and distance between crosswalks have a negative influence on pedestrian safety. On-street parking places, one-way streets, and the existence of raised medians have an opposite contribution to safety.This research was funded by Fundação para a Ciência e a Tecnologia (FCT), in the scope of the projects AnPeB—Analysis of pedestrian behavior based on simulated urban environments and its incorporation in risk modelling (PTDC/ECM-TRA/3568/2014) and Studies to promote sustainable and safe urban mobility (Agreement FCT/CAPES), in the frame of the strategic project (UIDB/04029/2020) and doctoral scholarships (SFRH/BD/131638/2017) and (SFRH/BD/138728/2018).Multidisciplinary Digital Publishing Institute (MDPI)Universidade do MinhoAcela, Leidy Marcela BaronOtila da Costa, JocileneSoares, Francisco Emanuel CunhaFaria, SusanaPrudêncio Jacques, Maria AliceFreitas, E. F.2021-04-162021-04-16T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/74101engBarón, L.; Otila da Costa, J.; Soares, F.; Faria, S.; Prudêncio Jacques, M.A.; Fraga de Freitas, E. Effect of Built Environment Factors on Pedestrian Safety in Portuguese Urban Areas. Appl. Syst. Innov. 2021, 4, 28. https://doi.org/10.3390/asi40200282571-557710.3390/asi4020028https://www.mdpi.com/2571-5577/4/2/28info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:18:23Zoai:repositorium.sdum.uminho.pt:1822/74101Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:11:13.052526Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Effect of built environment factors on pedestrian safety in Portuguese urban areas
title Effect of built environment factors on pedestrian safety in Portuguese urban areas
spellingShingle Effect of built environment factors on pedestrian safety in Portuguese urban areas
Acela, Leidy Marcela Baron
Pedestrian safety
Road infrastructure
Built environment
Urban areas
Road safety
Science & Technology
title_short Effect of built environment factors on pedestrian safety in Portuguese urban areas
title_full Effect of built environment factors on pedestrian safety in Portuguese urban areas
title_fullStr Effect of built environment factors on pedestrian safety in Portuguese urban areas
title_full_unstemmed Effect of built environment factors on pedestrian safety in Portuguese urban areas
title_sort Effect of built environment factors on pedestrian safety in Portuguese urban areas
author Acela, Leidy Marcela Baron
author_facet Acela, Leidy Marcela Baron
Otila da Costa, Jocilene
Soares, Francisco Emanuel Cunha
Faria, Susana
Prudêncio Jacques, Maria Alice
Freitas, E. F.
author_role author
author2 Otila da Costa, Jocilene
Soares, Francisco Emanuel Cunha
Faria, Susana
Prudêncio Jacques, Maria Alice
Freitas, E. F.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Acela, Leidy Marcela Baron
Otila da Costa, Jocilene
Soares, Francisco Emanuel Cunha
Faria, Susana
Prudêncio Jacques, Maria Alice
Freitas, E. F.
dc.subject.por.fl_str_mv Pedestrian safety
Road infrastructure
Built environment
Urban areas
Road safety
Science & Technology
topic Pedestrian safety
Road infrastructure
Built environment
Urban areas
Road safety
Science & Technology
description This paper identifies and analyzes variables that influence pedestrian safety based on the definition of models of pedestrian crash frequency for urban areas in Portugal. It considers three groups of explanatory variables, namely: (i) built environment; (ii) pedestrian infrastructure, and (iii) road infrastructure, as well as exposure variables combining pedestrian and vehicular traffic volumes. Data on the 16 variables considered were gathered from locations in the counties of Braga and Guimarães. The inclusion of pedestrian infrastructure variables in studies of this type is an innovation that allows for measuring the impacts of the dimensions recommended for this type of infrastructure and assessing the implementation of policies to support the mobility of vulnerable users, especially pedestrians. Examples of such variables are unobstructed space for pedestrian mobility and the recommendable distance separating regulated crossings. Zero-Truncated Negative Binomial Regression Models (ZTNB) and Generalized Estimation Equations (GEE) are used to develop crash prediction models. Results show that in addition to the variables identified in similar studies such as carriageway width, other statistically significant variables like longitudinal slope and distance between crosswalks have a negative influence on pedestrian safety. On-street parking places, one-way streets, and the existence of raised medians have an opposite contribution to safety.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-16
2021-04-16T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/74101
url https://hdl.handle.net/1822/74101
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Barón, L.; Otila da Costa, J.; Soares, F.; Faria, S.; Prudêncio Jacques, M.A.; Fraga de Freitas, E. Effect of Built Environment Factors on Pedestrian Safety in Portuguese Urban Areas. Appl. Syst. Innov. 2021, 4, 28. https://doi.org/10.3390/asi4020028
2571-5577
10.3390/asi4020028
https://www.mdpi.com/2571-5577/4/2/28
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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