The use of communication technologies, e.g., mobile phones, has increased dramatically in recent years, and their use among drivers has become a great risk to traffic safety. The present study assessed the workload and road ordinary violations, utilizing driving data collected from 39 young participants who underwent a dual-task while driving a simulator, i.e., respond to a call, text on WhatsApp, and check Instagram. Findings confirmed that there are significant differences in the driving performance of young drivers in terms of vehicle control (i.e., lateral distance and hard shoulder line violations) between distracted and non-distracted drivers. Furthermore, the overall workload score of young drivers increases with the use of their mobile phones while driving. The obtained results contribute to a better understanding of the driving performance of distracted young drivers and thus they could be useful for further improvements to traffic safety strategies.

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Purpose The purpose of this paper is to valorize the contribution of the cost-benefit analysis (CBA) method in the evaluation of the prevention measures of forest fires. Design/methodology/approach The suggested approach is based on the economic analysis of the forest fires’ risks using the CBA which has become inevitable in risk analysis’ domain. Findings The suggested approach shows the interest of the CBA method in the sense that each reduction measure of the forest fires’ risk eliminates the potential damages and, therefore, it is likely to generate benefits for the company in terms of avoided damages on the territory that is concerned by these measures. Practical implications It consists in comparing on time, the benefit generated by a reduction measure of a forest fires’ risk and its implementation cost. This comparison gives an important focus on the economic relevance of such a reduction measure of forest fires’ risk. Originality/value The question is to highlight the importance of both: the investment in terms of forest fires and the allocation of this investment on various preventive measures of forest fires.

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.