The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach
Road traffic injuries are now regarded as the eighth leading cause of death globally. For example, in 2016, 102,362 traffic injuries took place in Spain in which 174,679 drivers suffered injuries. These findings necessitated the development of the current study which focuses on the prime factors tha...
| Autores: | , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universidad de Cantabria (UC) |
| Repositorio: | UCrea Repositorio Abierto de la Universidad de Cantabria |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.unican.es:10902/18081 |
| Acceso en línea: | http://hdl.handle.net/10902/18081 |
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The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network ApproachFebres, Juan DiegoMohamadi, FatemehMariscal, Miguel ÁngelHerrera García, Sixto|||0000-0002-5384-179XGarcía-Herrero, SusanaRoad traffic injuries are now regarded as the eighth leading cause of death globally. For example, in 2016, 102,362 traffic injuries took place in Spain in which 174,679 drivers suffered injuries. These findings necessitated the development of the current study which focuses on the prime factors that cause this type of injuries. The aim of this study, therefore, is to explore the behavioral factors that entail a higher risk of suffering either a serious or a fatal injury for drivers. Methods. The findings are based on information and data provided by Dirección General de Tráfico (DGT) in Spain on traffic injuries that occurred in the year 2016. Reviewing a wide range of the literature, the authors identiffied the most in influential variables and created a model using the Bayesian networks. The variables that deffine the model are grouped into four factors: vehicle factor, road factor, circumstantial factor and human factor. Results. The results suggest that the principal variables that determine a higher probability of serious or fatal injuries in traŠc injuries are: lack of using appropriate safety accessories, high-speed violations, distractions as well as errors. Finally, the research shows the severity probability based on reason of displacement (in itinere, on business, or in leisure).This work is part of the research project “Modelización mediante técnicas de machine learning de la influencia de las distracciones del conductor en la seguridad vial. Diseño de un sistema integrado: simulador de conducción, eye tracker y dispositivo de distracción. Ref. BU300P18” supported by funds from FEDER (Fondo Europeo de Desarrollo Regional - Junta de Castilla y León).Institute for TransportationUniversidad de Cantabria20192019-12-02journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttp://hdl.handle.net/10902/18081Journal of Advanced Transportation Volume 2019, Article ID 6031482reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/180812026-06-02T12:39:31Z |
| dc.title.none.fl_str_mv |
The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach |
| title |
The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach |
| spellingShingle |
The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach Febres, Juan Diego |
| title_short |
The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach |
| title_full |
The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach |
| title_fullStr |
The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach |
| title_full_unstemmed |
The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach |
| title_sort |
The Role of Journey Purpose in Road Traffic Injuries: A Bayesian Network Approach |
| dc.creator.none.fl_str_mv |
Febres, Juan Diego Mohamadi, Fatemeh Mariscal, Miguel Ángel Herrera García, Sixto|||0000-0002-5384-179X García-Herrero, Susana |
| author |
Febres, Juan Diego |
| author_facet |
Febres, Juan Diego Mohamadi, Fatemeh Mariscal, Miguel Ángel Herrera García, Sixto|||0000-0002-5384-179X García-Herrero, Susana |
| author_role |
author |
| author2 |
Mohamadi, Fatemeh Mariscal, Miguel Ángel Herrera García, Sixto|||0000-0002-5384-179X García-Herrero, Susana |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Universidad de Cantabria |
| description |
Road traffic injuries are now regarded as the eighth leading cause of death globally. For example, in 2016, 102,362 traffic injuries took place in Spain in which 174,679 drivers suffered injuries. These findings necessitated the development of the current study which focuses on the prime factors that cause this type of injuries. The aim of this study, therefore, is to explore the behavioral factors that entail a higher risk of suffering either a serious or a fatal injury for drivers. Methods. The findings are based on information and data provided by Dirección General de Tráfico (DGT) in Spain on traffic injuries that occurred in the year 2016. Reviewing a wide range of the literature, the authors identiffied the most in influential variables and created a model using the Bayesian networks. The variables that deffine the model are grouped into four factors: vehicle factor, road factor, circumstantial factor and human factor. Results. The results suggest that the principal variables that determine a higher probability of serious or fatal injuries in traŠc injuries are: lack of using appropriate safety accessories, high-speed violations, distractions as well as errors. Finally, the research shows the severity probability based on reason of displacement (in itinere, on business, or in leisure). |
| publishDate |
2019 |
| dc.date.none.fl_str_mv |
2019 2019-12-02 |
| 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 |
http://hdl.handle.net/10902/18081 |
| url |
http://hdl.handle.net/10902/18081 |
| dc.language.none.fl_str_mv |
Inglés eng |
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Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial 4.0 International http://creativecommons.org/licenses/by-nc/4.0/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial 4.0 International http://creativecommons.org/licenses/by-nc/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
Institute for Transportation |
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Institute for Transportation |
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Journal of Advanced Transportation Volume 2019, Article ID 6031482 reponame:UCrea Repositorio Abierto de la Universidad de Cantabria instname:Universidad de Cantabria (UC) |
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Universidad de Cantabria (UC) |
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UCrea Repositorio Abierto de la Universidad de Cantabria |
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UCrea Repositorio Abierto de la Universidad de Cantabria |
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