@article {7803,
	title = {An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers: A Perspective for Alignment Measurement},
	journal = {Int J Environ Res Public Health},
	volume = {17},
	number = {18},
	year = {2020},
	abstract = {Road traffic plays a vital role in countries{\textquoteright} 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.},
	url = {https://pubmed.ncbi.nlm.nih.gov/32947935/},
	author = {Wafa Boulagouas and Garc{\'{\i}a-Herrero, Susana and Rachid Chaib and Juan Diego Febres and Miguel {\'A}ngel Mariscal and M{\'e}barek Djebabra}
}
