2026-04-18T19:24:02Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/52912024-05-20T07:11:47Zcom_10259_5498com_10259_5086com_10259_2604com_10259_5501col_10259_5499col_10259_5502
Febres Eguiguren, Juan Diego
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600
García Herrero, Susana
206
500
0000-0002-8061-9537
Herrera, Sixto
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500
Gutiérrez Llorente, José Manuel
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500
López García, José Ramón
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0000-0002-8509-0601
Mariscal Saldaña, Miguel Ángel
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500
0000-0002-7897-9891
2020-04-27T12:28:02Z
2020-04-27T12:28:02Z
2020-02
1867-0717
http://hdl.handle.net/10259/5291
10.1186/s12544-020-0401-5
1866-8887
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.
This research is part of the project “Modelización mediante técnicas de
machine learning de la influencia de las distracciones del conductor en la
seguridad vial”, with the reference BU300P18 and supported by funds from
FEDER (Fondo Europeo de Desarrollo Regional - Junta de Castilla y León).
application/pdf
eng
Springer
European Transport Research Review. 2020, V. 12, n. 1
https://doi.org/10.1186/s12544-020-0401-5
info:eu-repo/grantAgreement/JCyL/BU300P18
Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
Road traffic injuries
Seat belt
Bayesian networks
Traffic accidents
Human and conditioning factors
Transportes
Transportation
Influence of seat-belt use on the severity of injury in traffic accidents
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
European Transport Research Review
12
1
TEXT
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oai:riubu.ubu.es:10259/5291
2024-05-20 09:11:47.745
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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