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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Detalles Bibliográficos
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
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/27989
Acceso en línea:https://hdl.handle.net/10902/27989
Access Level:acceso abierto
Palabra clave:Road traffic injuries
Seat belt
Bayesian networks
Traffic accidents
Human and conditioning factors
Descripción
Sumario: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.