Influence of seat-belt use on the severity of injury in traffic accidents

ABSTRACT: Background: About 1.35 million people died in traffic accidents around the world in 2018, make this type of accidents the 8th cause of death in the world. Particularly, in Spain, there were 204,596 traffic accidents during 2016 and 2017, out of which 349,810 drivers were injured. The objec...

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Autores: Diego Febres, Juan, García-Herrero, Susana, Herrera García, Sixto|||0000-0002-5384-179X, Gutiérrez Llorente, José Manuel, López-García, J. R., Mariscal, Miguel Ángel
Formato: artículo
Fecha de publicación:2020
País:España
Recursos:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/27989
Acesso em linha:https://hdl.handle.net/10902/27989
Access Level:acceso abierto
Palavra-chave:Road traffic injuries
Seat belt
Bayesian networks
Traffic accidents
Human and conditioning factors
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spelling Influence of seat-belt use on the severity of injury in traffic accidentsDiego Febres, JuanGarcía-Herrero, SusanaHerrera García, Sixto|||0000-0002-5384-179XGutiérrez Llorente, José ManuelLópez-García, J. R.Mariscal, Miguel ÁngelRoad traffic injuriesSeat beltBayesian networksTraffic accidentsHuman and conditioning factorsABSTRACT: Background: About 1.35 million people died in traffic accidents around the world in 2018, make this type of accidents the 8th cause of death in the world. Particularly, in Spain, there were 204,596 traffic accidents during 2016 and 2017, out of which 349,810 drivers were injured. The objective of this study was to understand to what extent seat belt non-use and human factors contribute to drivers injury severity. Methodology: The results are based on the information and 2016-17 data provided by the Spain national traffic department "Dirección General de Tráfico" (DGT). The discretization model and Bayesian Networks were developed based on important variables from the literature. These variables were classified as; human factor, demographic factor, conditioning factor and seat belt use. Results: The results showed that failure to wear the seat belt by drivers are likely to increase the risk of fatal and sever injury significantly. Moreover, distraction and road type road can contribute to the accident severity.Springer OpenUniversidad de Cantabria20202020-02-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttps://hdl.handle.net/10902/27989European Transport Research Review 12, Article number: 9 (2020)reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/279892026-06-02T12:39:31Z
dc.title.none.fl_str_mv Influence of seat-belt use on the severity of injury in traffic accidents
title Influence of seat-belt use on the severity of injury in traffic accidents
spellingShingle Influence of seat-belt use on the severity of injury in traffic accidents
Diego Febres, Juan
Road traffic injuries
Seat belt
Bayesian networks
Traffic accidents
Human and conditioning factors
title_short Influence of seat-belt use on the severity of injury in traffic accidents
title_full Influence of seat-belt use on the severity of injury in traffic accidents
title_fullStr Influence of seat-belt use on the severity of injury in traffic accidents
title_full_unstemmed Influence of seat-belt use on the severity of injury in traffic accidents
title_sort Influence of seat-belt use on the severity of injury in traffic accidents
dc.creator.none.fl_str_mv Diego Febres, Juan
García-Herrero, Susana
Herrera García, Sixto|||0000-0002-5384-179X
Gutiérrez Llorente, José Manuel
López-García, J. R.
Mariscal, Miguel Ángel
author Diego Febres, Juan
author_facet Diego Febres, Juan
García-Herrero, Susana
Herrera García, Sixto|||0000-0002-5384-179X
Gutiérrez Llorente, José Manuel
López-García, J. R.
Mariscal, Miguel Ángel
author_role author
author2 García-Herrero, Susana
Herrera García, Sixto|||0000-0002-5384-179X
Gutiérrez Llorente, José Manuel
López-García, J. R.
Mariscal, Miguel Ángel
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv Road traffic injuries
Seat belt
Bayesian networks
Traffic accidents
Human and conditioning factors
topic Road traffic injuries
Seat belt
Bayesian networks
Traffic accidents
Human and conditioning factors
description ABSTRACT: Background: About 1.35 million people died in traffic accidents around the world in 2018, make this type of accidents the 8th cause of death in the world. Particularly, in Spain, there were 204,596 traffic accidents during 2016 and 2017, out of which 349,810 drivers were injured. The objective of this study was to understand to what extent seat belt non-use and human factors contribute to drivers injury severity. Methodology: The results are based on the information and 2016-17 data provided by the Spain national traffic department "Dirección General de Tráfico" (DGT). The discretization model and Bayesian Networks were developed based on important variables from the literature. These variables were classified as; human factor, demographic factor, conditioning factor and seat belt use. Results: The results showed that failure to wear the seat belt by drivers are likely to increase the risk of fatal and sever injury significantly. Moreover, distraction and road type road can contribute to the accident severity.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-02-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10902/27989
url https://hdl.handle.net/10902/27989
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer Open
publisher.none.fl_str_mv Springer Open
dc.source.none.fl_str_mv European Transport Research Review 12, Article number: 9 (2020)
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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