An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers

A Perspective for Alignment Measurement

Bibliographic Data

ID15501344
AuthorsWafa Boulagouas (0000-0002-3444-3219, University Frères Mentouri Constantine 1), Susana Garcı́a Herrero (0000-0002-8061-9537, Universidad de Burgos, corresponding author), Rachid Chaib (0000-0002-6242-1527, University Frères Mentouri Constantine 1), Juan Diego Febres (0000-0001-6718-5853, Universidad Técnica Particular de Loja), Miguel Ángel Mariscal Saldaña (0000-0002-7897-9891, Universidad de Burgos), Mébarek Djebabra (0000-0002-0242-8903, University of Batna 1)
Year2020
Volume17
Issue18
Pages6743-6743
Publication date2020-09-16
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17186743
PMID32947935
OpenAlexW3086573645
LanguageEN
Citations received5
References cited2

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

Computer security · Environmental health · Injury prevention · Medical emergency · Occupational safety and health · Perspective (graphical · Poison control · Suicide prevention · Autonomous Vehicle Technology and Safety · Computer Science · Human Factors and Ergonomics · Human-Automation Interaction and Safety · Medicine · Psychology · Traffic and Road Safety · Artificial Intelligence

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