Factors influencing the occurrence of traffic accidents in urban roads: A combined GIS-Empirical Bayesian approach

The problem of urban road accidents in Colombia is remarkable and has a significant magnitude. For this reason, a technical study of this important public health scourge is important. The quantitative techniques employed are usually highly aggregated and will not correctly identify the determinant v...

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Autores:
Cantillo, Víctor
Garcés, Patricia
Márquez, Luis
Tipo de recurso:
Article of journal
Fecha de publicación:
2016
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/60590
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/60590
http://bdigital.unal.edu.co/58922/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
urban road accident
accident-prone sections
empirical Bayesian approach
Geographic Information System
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Cantillo, Víctorcbc3489b-89d7-473a-9242-e4c144aa822e300Garcés, Patricia2745e0ee-9721-4ad5-af91-17d8c73d48c8300Márquez, Luis3bb7d512-b0ef-470a-8f40-9e1b940fb1853002019-07-02T18:40:01Z2019-07-02T18:40:01Z2016-01-01ISSN: 2346-2183https://repositorio.unal.edu.co/handle/unal/60590http://bdigital.unal.edu.co/58922/The problem of urban road accidents in Colombia is remarkable and has a significant magnitude. For this reason, a technical study of this important public health scourge is important. The quantitative techniques employed are usually highly aggregated and will not correctly identify the determinant variables of the problem. This paper examines the relationship between urban road accidents and variables related to road infrastructure, environment, traffic volumes and traffic control. Some accident-prone sections in the city of Cartagena (Colombia) are specifically identified by the empirical Bayesian method based on GIS. A total of 69 accident-prone sections were identified in the city. It was evident that the marginal effect on the accident rate for motorcycles is well above that for cars and buses. Empirical evidence also showed that the sections located in commercial areas tend to have higher frequency of accidents due to the high presence of pedestrians.application/pdfspaUniversidad Nacional de Colombia (Sede Medellín). Facultad de Minas.https://revistas.unal.edu.co/index.php/dyna/article/view/47229Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaCantillo, Víctor and Garcés, Patricia and Márquez, Luis (2016) Factors influencing the occurrence of traffic accidents in urban roads: A combined GIS-Empirical Bayesian approach. DYNA, 83 (195). pp. 21-28. ISSN 2346-218362 Ingeniería y operaciones afines / Engineeringurban road accidentaccident-prone sectionsempirical Bayesian approachGeographic Information SystemFactors influencing the occurrence of traffic accidents in urban roads: A combined GIS-Empirical Bayesian approachArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL47229-284209-1-PB.pdfapplication/pdf742955https://repositorio.unal.edu.co/bitstream/unal/60590/1/47229-284209-1-PB.pdfb5407b12022876e0294cf3f263fd1c2fMD51THUMBNAIL47229-284209-1-PB.pdf.jpg47229-284209-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg9499https://repositorio.unal.edu.co/bitstream/unal/60590/2/47229-284209-1-PB.pdf.jpg1e1fc172177820a5f3e7911803171644MD52unal/60590oai:repositorio.unal.edu.co:unal/605902023-04-07 23:05:01.706Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv Factors influencing the occurrence of traffic accidents in urban roads: A combined GIS-Empirical Bayesian approach
title Factors influencing the occurrence of traffic accidents in urban roads: A combined GIS-Empirical Bayesian approach
spellingShingle Factors influencing the occurrence of traffic accidents in urban roads: A combined GIS-Empirical Bayesian approach
62 Ingeniería y operaciones afines / Engineering
urban road accident
accident-prone sections
empirical Bayesian approach
Geographic Information System
title_short Factors influencing the occurrence of traffic accidents in urban roads: A combined GIS-Empirical Bayesian approach
title_full Factors influencing the occurrence of traffic accidents in urban roads: A combined GIS-Empirical Bayesian approach
title_fullStr Factors influencing the occurrence of traffic accidents in urban roads: A combined GIS-Empirical Bayesian approach
title_full_unstemmed Factors influencing the occurrence of traffic accidents in urban roads: A combined GIS-Empirical Bayesian approach
title_sort Factors influencing the occurrence of traffic accidents in urban roads: A combined GIS-Empirical Bayesian approach
dc.creator.fl_str_mv Cantillo, Víctor
Garcés, Patricia
Márquez, Luis
dc.contributor.author.spa.fl_str_mv Cantillo, Víctor
Garcés, Patricia
Márquez, Luis
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
urban road accident
accident-prone sections
empirical Bayesian approach
Geographic Information System
dc.subject.proposal.spa.fl_str_mv urban road accident
accident-prone sections
empirical Bayesian approach
Geographic Information System
description The problem of urban road accidents in Colombia is remarkable and has a significant magnitude. For this reason, a technical study of this important public health scourge is important. The quantitative techniques employed are usually highly aggregated and will not correctly identify the determinant variables of the problem. This paper examines the relationship between urban road accidents and variables related to road infrastructure, environment, traffic volumes and traffic control. Some accident-prone sections in the city of Cartagena (Colombia) are specifically identified by the empirical Bayesian method based on GIS. A total of 69 accident-prone sections were identified in the city. It was evident that the marginal effect on the accident rate for motorcycles is well above that for cars and buses. Empirical evidence also showed that the sections located in commercial areas tend to have higher frequency of accidents due to the high presence of pedestrians.
publishDate 2016
dc.date.issued.spa.fl_str_mv 2016-01-01
dc.date.accessioned.spa.fl_str_mv 2019-07-02T18:40:01Z
dc.date.available.spa.fl_str_mv 2019-07-02T18:40:01Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.spa.fl_str_mv ISSN: 2346-2183
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identifier_str_mv ISSN: 2346-2183
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language spa
dc.relation.spa.fl_str_mv https://revistas.unal.edu.co/index.php/dyna/article/view/47229
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Dyna
Dyna
dc.relation.references.spa.fl_str_mv Cantillo, Víctor and Garcés, Patricia and Márquez, Luis (2016) Factors influencing the occurrence of traffic accidents in urban roads: A combined GIS-Empirical Bayesian approach. DYNA, 83 (195). pp. 21-28. ISSN 2346-2183
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
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dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia (Sede Medellín). Facultad de Minas.
institution Universidad Nacional de Colombia
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