Analysis of the factors affecting the severity of two-vehicle crashes
AbstractThis study performs a comprehensive analysis of the effect of different environmental, demographic and vehicle variables on the severity of two-vehicle crashes. The limitations associated with previous studies have been addressed by using a large crash database, properly defining the indepen...
- Autores:
-
Alejandro Angel; University of Arizona.
Mark Hickman; University of Arizona.
- Tipo de recurso:
- Fecha de publicación:
- 2011
- Institución:
- Universidad del Norte
- Repositorio:
- Repositorio Uninorte
- Idioma:
- eng
- OAI Identifier:
- oai:manglar.uninorte.edu.co:10584/3932
- Acceso en línea:
- http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/1768
http://hdl.handle.net/10584/3932
- Palabra clave:
- Rights
- License
- http://purl.org/coar/access_right/c_abf2
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dc.title.none.fl_str_mv |
Analysis of the factors affecting the severity of two-vehicle crashes Analysis of the factors affecting the severity of two-vehicle crashes |
title |
Analysis of the factors affecting the severity of two-vehicle crashes |
spellingShingle |
Analysis of the factors affecting the severity of two-vehicle crashes |
title_short |
Analysis of the factors affecting the severity of two-vehicle crashes |
title_full |
Analysis of the factors affecting the severity of two-vehicle crashes |
title_fullStr |
Analysis of the factors affecting the severity of two-vehicle crashes |
title_full_unstemmed |
Analysis of the factors affecting the severity of two-vehicle crashes |
title_sort |
Analysis of the factors affecting the severity of two-vehicle crashes |
dc.creator.fl_str_mv |
Alejandro Angel; University of Arizona. Mark Hickman; University of Arizona. |
dc.contributor.author.none.fl_str_mv |
Alejandro Angel; University of Arizona. Mark Hickman; University of Arizona. |
description |
AbstractThis study performs a comprehensive analysis of the effect of different environmental, demographic and vehicle variables on the severity of two-vehicle crashes. The limitations associated with previous studies have been addressed by using a large crash database, properly defining the independent variables, using an appropriate statistical model, and by considering the effect of factors normally unaccounted for such as crash type, DUI involvement, impact speed and height incompatibilities between the two vehicles. The use of a multinomial logit model provides the flexibility to evaluate variables that have opposing effects at different injury levels (such as airbag availability). An innovative linear crash cost model is also used to estimate the effect of the independent variables in terms of dollars. This simplification is particularly useful when discussing potential policy treatments for improving road safety with transportation officials, politicians and other decision makers. The findings from the two models are consistent and suggest that the type of crash has a great impact on severity. Age is the most significant demographic variable, with children being least likely to be injured, and older occupants being most likely to be injured. Occupant behavior also seems to be critical, as the use of seatbelts, and alcohol involvement, greatly decrease or increase, respectively, the severity of the crash. Heavier vehicles increase the safety of its occupants but decrease the safety of occupants of the other vehicle. Vehicle types are not found to be as significant as weight, with the notable exception of pickups, which are at the same time more crashworthy and more aggressive than passenger cars. |
publishDate |
2011 |
dc.date.issued.none.fl_str_mv |
2011-06-30 |
dc.date.accessioned.none.fl_str_mv |
2013-08-31T23:10:06Z |
dc.date.available.none.fl_str_mv |
2013-08-31T23:10:06Z |
dc.type.none.fl_str_mv |
article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.hasVersion.none.fl_str_mv |
publishedVersion |
dc.identifier.other.none.fl_str_mv |
http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/1768 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10584/3932 |
url |
http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/1768 http://hdl.handle.net/10584/3932 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
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Revista Científica Ingeniería y Desarrollo; No 24 (2008): Julio - Diciembre |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.spatial.none.fl_str_mv |
Colombia |
dc.publisher.none.fl_str_mv |
Universidad del Norte |
publisher.none.fl_str_mv |
Universidad del Norte |
dc.source.none.fl_str_mv |
instname:Universidad del Norte reponame:Repositorio Digital de la Universidad del Norte |
instname_str |
Universidad del Norte |
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Universidad del Norte |
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Repositorio Digital de la Universidad del Norte |
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Repositorio Digital de la Universidad del Norte |
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Repositorio Digital de la Universidad del Norte |
repository.mail.fl_str_mv |
mauribe@uninorte.edu.co |
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1818112696073060352 |
spelling |
Alejandro Angel; University of Arizona.Mark Hickman; University of Arizona.Colombia2013-08-31T23:10:06Z2013-08-31T23:10:06Z2011-06-30http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/1768http://hdl.handle.net/10584/3932AbstractThis study performs a comprehensive analysis of the effect of different environmental, demographic and vehicle variables on the severity of two-vehicle crashes. The limitations associated with previous studies have been addressed by using a large crash database, properly defining the independent variables, using an appropriate statistical model, and by considering the effect of factors normally unaccounted for such as crash type, DUI involvement, impact speed and height incompatibilities between the two vehicles. The use of a multinomial logit model provides the flexibility to evaluate variables that have opposing effects at different injury levels (such as airbag availability). An innovative linear crash cost model is also used to estimate the effect of the independent variables in terms of dollars. This simplification is particularly useful when discussing potential policy treatments for improving road safety with transportation officials, politicians and other decision makers. The findings from the two models are consistent and suggest that the type of crash has a great impact on severity. Age is the most significant demographic variable, with children being least likely to be injured, and older occupants being most likely to be injured. Occupant behavior also seems to be critical, as the use of seatbelts, and alcohol involvement, greatly decrease or increase, respectively, the severity of the crash. Heavier vehicles increase the safety of its occupants but decrease the safety of occupants of the other vehicle. Vehicle types are not found to be as significant as weight, with the notable exception of pickups, which are at the same time more crashworthy and more aggressive than passenger cars.ResumenEste estudio analiza cómo diferentes características demográficas, de los vehículos involucrados, y del lugar y tipo del accidente, afectan la seriedad de las heridas en los accidentes entre dos automóviles. Las limitaciones de estudios previos han sido superadas usando una base de datos con 10 años de registros de accidentes, definiendo las variables independientes de manera correcta, usando el modelo estadístico apropiado, y considerando los efectos de factores frecuentemente ignorados como el tipo de accidente, la intoxicación con alcohol, la velocidad de impacto, y las incompatibilidades estructurales de los dos vehículos. El uso de un modelo logit multinomial provee la flexibilidad necesaria para evaluar variables que tienen efectos distintos a diferentes niveles de severidad (como la disponibilidad de bolsas de aire). El artículo también presenta modelo lineal del costo de las heridas a cada ocupante, que puede ser usado para determinar directamente el costo atribuible a cada variable. Esta simplificación facilita la discusión de políticas de seguridad vial con funcionarios de transporte y gobernantes. Las conclusiones de ambos modelos son consistentes y sugieren que el tipo de accidente (frontal, lateral, etc.) afecta significativamente la severidad. Edad es el factor demográfico más importante; niños y jóvenes tienen una menor probabilidad de ser heridos en un accidente, mientras que ocupantes mayores de 65 años son los más vulnerables. El comportamiento del ocupante es crítico, ya que el uso de cinturones de seguridad y el conducir embriagado pueden reducir o incrementar, respectivamente, la seriedad del accidente sustancialmente. Vehículos más pesados son más seguros para sus ocupantes, pero vuelven más vulnerables a los ocupantes del otro vehículo. El tipo de vehículo no parece ser tan importante como el peso, con la excepción de pick-ups que protegen mejor a sus ocupantes, pero también incrementan el riesgo de heridas a los ocupantes del otro vehículo.application/pdfengUniversidad del NorteRevista Científica Ingeniería y Desarrollo; No 24 (2008): Julio - Diciembreinstname:Universidad del Nortereponame:Repositorio Digital de la Universidad del NorteAnalysis of the factors affecting the severity of two-vehicle crashesAnalysis of the factors affecting the severity of two-vehicle crashesarticlepublishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/access_right/c_abf210584/3932oai:172.16.14.36:10584/39322015-10-07 01:47:20.061Repositorio Digital de la Universidad del Nortemauribe@uninorte.edu.co |