The influence of the infrastructure characteristics in urban road accidents occurrence

Detalhes bibliográficos
Autor(a) principal: Vieira Gomes, S.
Data de Publicação: 2013
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://repositorio.lnec.pt:8080/jspui/handle/123456789/1004861
Resumo: This paper summarizes the result of a study regarding the creation of tools that can be used in intervention methods in the planning and management of urban road networks in Portugal. The first tool relates the creation of a geocoded database of road accidents occurred in Lisbon between 2004 and 2007, which allowed the definition of digital maps, with the possibility of a wide range of consultations and crossing of information. The second tool concerns the development of models to estimate the frequency of accidents on urban networks, according to different desegregations: road element (intersections and segments); type of accident (accidents with and without pedestrians); and inclusion of explanatory variables related to the road environment. Several methods were used to assess the goodness of fit of the developed models, allowing more robust conclusions. This work aims to contribute to the scientific knowledge of accidents phenomenon in Portugal, with detailed and accurate information on the factors affecting its occurrence. This allows to explicitly include safety aspects in planning and road management tasks.
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spelling The influence of the infrastructure characteristics in urban road accidents occurrenceGisAccident prediction modelsGeneralized linear modellingRoad accidents urban intersections urban segmentsThis paper summarizes the result of a study regarding the creation of tools that can be used in intervention methods in the planning and management of urban road networks in Portugal. The first tool relates the creation of a geocoded database of road accidents occurred in Lisbon between 2004 and 2007, which allowed the definition of digital maps, with the possibility of a wide range of consultations and crossing of information. The second tool concerns the development of models to estimate the frequency of accidents on urban networks, according to different desegregations: road element (intersections and segments); type of accident (accidents with and without pedestrians); and inclusion of explanatory variables related to the road environment. Several methods were used to assess the goodness of fit of the developed models, allowing more robust conclusions. This work aims to contribute to the scientific knowledge of accidents phenomenon in Portugal, with detailed and accurate information on the factors affecting its occurrence. This allows to explicitly include safety aspects in planning and road management tasks.Elsevier2013-06-11T10:10:00Z2014-10-21T09:03:21Z2017-04-12T16:21:37Z2013-01-01T00:00:00Z2013info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.lnec.pt:8080/jspui/handle/123456789/1004861engVieira Gomes, S.info: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:RCAAP2024-01-13T03:03:17Zoai:localhost:123456789/1004861Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:38:51.070498Repositório 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 The influence of the infrastructure characteristics in urban road accidents occurrence
title The influence of the infrastructure characteristics in urban road accidents occurrence
spellingShingle The influence of the infrastructure characteristics in urban road accidents occurrence
Vieira Gomes, S.
Gis
Accident prediction models
Generalized linear modelling
Road accidents urban intersections urban segments
title_short The influence of the infrastructure characteristics in urban road accidents occurrence
title_full The influence of the infrastructure characteristics in urban road accidents occurrence
title_fullStr The influence of the infrastructure characteristics in urban road accidents occurrence
title_full_unstemmed The influence of the infrastructure characteristics in urban road accidents occurrence
title_sort The influence of the infrastructure characteristics in urban road accidents occurrence
author Vieira Gomes, S.
author_facet Vieira Gomes, S.
author_role author
dc.contributor.author.fl_str_mv Vieira Gomes, S.
dc.subject.por.fl_str_mv Gis
Accident prediction models
Generalized linear modelling
Road accidents urban intersections urban segments
topic Gis
Accident prediction models
Generalized linear modelling
Road accidents urban intersections urban segments
description This paper summarizes the result of a study regarding the creation of tools that can be used in intervention methods in the planning and management of urban road networks in Portugal. The first tool relates the creation of a geocoded database of road accidents occurred in Lisbon between 2004 and 2007, which allowed the definition of digital maps, with the possibility of a wide range of consultations and crossing of information. The second tool concerns the development of models to estimate the frequency of accidents on urban networks, according to different desegregations: road element (intersections and segments); type of accident (accidents with and without pedestrians); and inclusion of explanatory variables related to the road environment. Several methods were used to assess the goodness of fit of the developed models, allowing more robust conclusions. This work aims to contribute to the scientific knowledge of accidents phenomenon in Portugal, with detailed and accurate information on the factors affecting its occurrence. This allows to explicitly include safety aspects in planning and road management tasks.
publishDate 2013
dc.date.none.fl_str_mv 2013-06-11T10:10:00Z
2013-01-01T00:00:00Z
2013
2014-10-21T09:03:21Z
2017-04-12T16:21:37Z
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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