2026-04-18T04:38:16Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/90162024-05-20T07:20:10Zcom_10259_9006com_10259_5086com_10259_2604com_10259_5501col_10259_9007col_10259_5502

Boulagouas, Wafa García Herrero, Susana Chaib, Rachid Febres Eguiguren, Juan Diego Mariscal Saldaña, Miguel Ángel Djebabra, Mébarek Alignment Regulatory Behaviors Drivers Bayesian Network Traffic Accidents Unlicensed Unsafe Road traffic plays a vital role in countries’ economic growth and future development. However, traffic accidents are considered a major public health issue affecting humankind. Despite efforts by governments to improve traffic safety, the misalignment between the policy efforts and on-ground infringements, distractions and breaches reflect the regulatory failure. This paper uses the Bayesian network method to investigate unsafe behaviors and traffic accidents involving unlicensed drivers as a perspective for the regulatory alignment assessment. The findings suggest that: (1) unlicensed drivers are more likely to have unsafe driving behaviors; (2) the probability of being involved in a severe traffic accident increases when the drivers are unlicensed and decreases in the case of licensed drivers; (3) young drivers are noticeably more likely to engage in unsafe behaviors, usually leading to serious injuries and deaths, when their driving licenses are invalid; (4) women are more likely to engage in right-of-way violations and to have collisions with no serious injuries, contrary to unlicensed men drivers, who are involved in other types of traffic accidents resulting in serious injuries. 2024-04-22 2024-04-22 2020-09 info:eu-repo/semantics/article 1660-4601 http://hdl.handle.net/10259/9016 10.3390/ijerph17186743 1660-4601 eng International Journal of Environmental Research and Public Health. 2020, V. 17, n. 18, 6743 https://doi.org/10.3390/ijerph17186743 http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Atribución 4.0 Internacional MDPI