An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers: A Perspective for Alignment Measurement

Wafa Boulagouas, Susana García-Herrero, Rachid Chaib, Juan Diego Febres, Miguel Ángel Mariscal and Mébarek Djebabra
Additional contact information
Wafa Boulagouas: Laboratory of Transportation Engineering and Environment, Department of Transportation Engineering, Faculty of Technology Sciences, University of Mentouri, Constantine 1, Constantine 25017, Algeria
Susana García-Herrero: Escuela Politécnica Superior, University of Burgos, 09006 Burgos, Spain
Rachid Chaib: Laboratory of Transportation Engineering and Environment, Department of Transportation Engineering, Faculty of Technology Sciences, University of Mentouri, Constantine 1, Constantine 25017, Algeria
Juan Diego Febres: Department of Chemistry and Exact Sciences, Universidad Técnica Particular de Loja, Loja 110107, Ecuador
Miguel Ángel Mariscal: Escuela Politécnica Superior, University of Burgos, 09006 Burgos, Spain
Mébarek Djebabra: Laboratory of Industrial Prevention Research, Health and Industrial Safety Institute, University of Batna 2, Batna 05078, Algeria

IJERPH, 2020, vol. 17, issue 18, 1-26

Abstract: 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.

Keywords: alignment; regulatory; behaviors; drivers; Bayesian; network; traffic; accidents; unlicensed; unsafe (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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