ESTIMATING PEDESTRIAN SUSCEPTIBILITY TO TRAFFIC ACCIDENTS IN CURITIBA, BRAZIL

Detalhes bibliográficos
Autor(a) principal: Moroz, Cassiano Bastos
Data de Publicação: 2021
Outros Autores: Gadda, Tatiana Maria Cecy, Bastos, Jorge Tiago
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Baru - Revista Brasileira de Assuntos Regionais e Urbanos
Texto Completo: http://seer.pucgoias.edu.br/index.php/baru/article/view/e8895
Resumo: Even though pedestrians represented 40% of all urban displacements in Brazil in 2017, they are still highly vulnerable to traffic accidents, with a mortality rate of 2.89 per 100 thousand inhabitants in 2018. The literature suggests a relationship between the occurrence of traffic accidents and demographic, socioeconomic, and urban structure variables. In this study, this relationship was investigated through a data-driven statistical model (logistic regression) combined with GIS spatial analysis, applied to estimate the pedestrian susceptibility to traffic accidents in the City of Curitiba, in Southern Brazil. By adopting broadly available spatial information, the proposed methods were robust in estimating the events, presenting an area under the ROC curve of 0.82 in the cross-validation. Additionally, the results highlighted a strong and statistically significant correlation between the pedestrian crashes and the analyzed variables of road system hierarchy, presence of BRT routes, land-use, population density and per capita income.
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spelling ESTIMATING PEDESTRIAN SUSCEPTIBILITY TO TRAFFIC ACCIDENTS IN CURITIBA, BRAZILESTIMATING PEDESTRIAN SUSCEPTIBILITY TO TRAFFIC ACCIDENTS IN CURITIBA, BRAZILroad safety; logistic regression; spatial analysis; Geographic Information SystemEven though pedestrians represented 40% of all urban displacements in Brazil in 2017, they are still highly vulnerable to traffic accidents, with a mortality rate of 2.89 per 100 thousand inhabitants in 2018. The literature suggests a relationship between the occurrence of traffic accidents and demographic, socioeconomic, and urban structure variables. In this study, this relationship was investigated through a data-driven statistical model (logistic regression) combined with GIS spatial analysis, applied to estimate the pedestrian susceptibility to traffic accidents in the City of Curitiba, in Southern Brazil. By adopting broadly available spatial information, the proposed methods were robust in estimating the events, presenting an area under the ROC curve of 0.82 in the cross-validation. Additionally, the results highlighted a strong and statistically significant correlation between the pedestrian crashes and the analyzed variables of road system hierarchy, presence of BRT routes, land-use, population density and per capita income.Even though pedestrians represented 40% of all urban displacements in Brazil in 2017, they are still highly vulnerable to traffic accidents, with a mortality rate of 2.89 per 100 thousand inhabitants in 2018. The literature suggests a relationship between the occurrence of traffic accidents and demographic, socioeconomic, and urban structure variables. In this study, this relationship was investigated through a data-driven statistical model (logistic regression) combined with GIS spatial analysis, applied to estimate the pedestrian susceptibility to traffic accidents in the City of Curitiba, in Southern Brazil. By adopting broadly available spatial information, the proposed methods were robust in estimating the events, presenting an area under the ROC curve of 0.82 in the cross-validation. Additionally, the results highlighted a strong and statistically significant correlation between the pedestrian crashes and the analyzed variables of road system hierarchy, presence of BRT routes, land-use, population density and per capita income.Editora da PUC GoiasMoroz, Cassiano BastosGadda, Tatiana Maria CecyBastos, Jorge Tiago2021-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://seer.pucgoias.edu.br/index.php/baru/article/view/e889510.18224/baru.v7i1.8895Revista Baru - Revista Brasileira de Assuntos Regionais e Urbanos; v. 7 (2021); 212448-04602448-046010.18224/baru.v7.2021reponame:Revista Baru - Revista Brasileira de Assuntos Regionais e Urbanosinstname:Associação Brasileira de Estudos e Pesquisas em Moda (Abepem)instacron:PUC_GOenghttp://seer.pucgoias.edu.br/index.php/baru/article/view/e8895/5313Direitos autorais 2021 Jorge Tiago Bastos, Cassiano Bastos Moroz, Tatiana Maria Cecy Gaddahttp://creativecommons.org/licenses/by-nd/4.0info:eu-repo/semantics/openAccess2021-11-18T17:09:38Zoai:ojs.pkp.sfu.ca:article/8895Revistahttp://seer.pucgoias.edu.br/index.php/baru/indexPRIhttp://seer.pucgoias.edu.br/index.php/baru/oaibaru@pucgoias.edu.br2448-04602448-0460opendoar:2021-11-18T17:09:38Revista Baru - Revista Brasileira de Assuntos Regionais e Urbanos - Associação Brasileira de Estudos e Pesquisas em Moda (Abepem)false
dc.title.none.fl_str_mv ESTIMATING PEDESTRIAN SUSCEPTIBILITY TO TRAFFIC ACCIDENTS IN CURITIBA, BRAZIL
ESTIMATING PEDESTRIAN SUSCEPTIBILITY TO TRAFFIC ACCIDENTS IN CURITIBA, BRAZIL
title ESTIMATING PEDESTRIAN SUSCEPTIBILITY TO TRAFFIC ACCIDENTS IN CURITIBA, BRAZIL
spellingShingle ESTIMATING PEDESTRIAN SUSCEPTIBILITY TO TRAFFIC ACCIDENTS IN CURITIBA, BRAZIL
Moroz, Cassiano Bastos
road safety; logistic regression; spatial analysis; Geographic Information System
title_short ESTIMATING PEDESTRIAN SUSCEPTIBILITY TO TRAFFIC ACCIDENTS IN CURITIBA, BRAZIL
title_full ESTIMATING PEDESTRIAN SUSCEPTIBILITY TO TRAFFIC ACCIDENTS IN CURITIBA, BRAZIL
title_fullStr ESTIMATING PEDESTRIAN SUSCEPTIBILITY TO TRAFFIC ACCIDENTS IN CURITIBA, BRAZIL
title_full_unstemmed ESTIMATING PEDESTRIAN SUSCEPTIBILITY TO TRAFFIC ACCIDENTS IN CURITIBA, BRAZIL
title_sort ESTIMATING PEDESTRIAN SUSCEPTIBILITY TO TRAFFIC ACCIDENTS IN CURITIBA, BRAZIL
author Moroz, Cassiano Bastos
author_facet Moroz, Cassiano Bastos
Gadda, Tatiana Maria Cecy
Bastos, Jorge Tiago
author_role author
author2 Gadda, Tatiana Maria Cecy
Bastos, Jorge Tiago
author2_role author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Moroz, Cassiano Bastos
Gadda, Tatiana Maria Cecy
Bastos, Jorge Tiago
dc.subject.none.fl_str_mv



dc.subject.por.fl_str_mv road safety; logistic regression; spatial analysis; Geographic Information System
topic road safety; logistic regression; spatial analysis; Geographic Information System
description Even though pedestrians represented 40% of all urban displacements in Brazil in 2017, they are still highly vulnerable to traffic accidents, with a mortality rate of 2.89 per 100 thousand inhabitants in 2018. The literature suggests a relationship between the occurrence of traffic accidents and demographic, socioeconomic, and urban structure variables. In this study, this relationship was investigated through a data-driven statistical model (logistic regression) combined with GIS spatial analysis, applied to estimate the pedestrian susceptibility to traffic accidents in the City of Curitiba, in Southern Brazil. By adopting broadly available spatial information, the proposed methods were robust in estimating the events, presenting an area under the ROC curve of 0.82 in the cross-validation. Additionally, the results highlighted a strong and statistically significant correlation between the pedestrian crashes and the analyzed variables of road system hierarchy, presence of BRT routes, land-use, population density and per capita income.
publishDate 2021
dc.date.none.fl_str_mv 2021-10-01
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://seer.pucgoias.edu.br/index.php/baru/article/view/e8895
10.18224/baru.v7i1.8895
url http://seer.pucgoias.edu.br/index.php/baru/article/view/e8895
identifier_str_mv 10.18224/baru.v7i1.8895
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://seer.pucgoias.edu.br/index.php/baru/article/view/e8895/5313
dc.rights.driver.fl_str_mv Direitos autorais 2021 Jorge Tiago Bastos, Cassiano Bastos Moroz, Tatiana Maria Cecy Gadda
http://creativecommons.org/licenses/by-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos autorais 2021 Jorge Tiago Bastos, Cassiano Bastos Moroz, Tatiana Maria Cecy Gadda
http://creativecommons.org/licenses/by-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora da PUC Goias
publisher.none.fl_str_mv Editora da PUC Goias
dc.source.none.fl_str_mv Revista Baru - Revista Brasileira de Assuntos Regionais e Urbanos; v. 7 (2021); 21
2448-0460
2448-0460
10.18224/baru.v7.2021
reponame:Revista Baru - Revista Brasileira de Assuntos Regionais e Urbanos
instname:Associação Brasileira de Estudos e Pesquisas em Moda (Abepem)
instacron:PUC_GO
instname_str Associação Brasileira de Estudos e Pesquisas em Moda (Abepem)
instacron_str PUC_GO
institution PUC_GO
reponame_str Revista Baru - Revista Brasileira de Assuntos Regionais e Urbanos
collection Revista Baru - Revista Brasileira de Assuntos Regionais e Urbanos
repository.name.fl_str_mv Revista Baru - Revista Brasileira de Assuntos Regionais e Urbanos - Associação Brasileira de Estudos e Pesquisas em Moda (Abepem)
repository.mail.fl_str_mv baru@pucgoias.edu.br
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