Abstract
This study investigates contributing factors to traffic violations by seriousness. The traffic violations are divided into four categories by seriousness (unintentional violation, minor violation, serious violation, and crash with violation). The results of the random parameter multinomial logit model indicate that various factors potentially affect the severity of traffic violations. The key findings include the following: (1) female drivers are more likely to commit minor violations; (2) drivers from an area with a longer travel time to work and a higher proportion of driving to work are more likely to have minor violations and serious violations, while those from the high-income area are less likely; (3) drivers are more likely to be associated with a more minor infraction during the afternoon peak (4 p.m.–6 p.m.). The results from this study are expected to be beneficial for policymakers and traffic police to comprehend the factors affecting violations and implement effective strategies to minimize the number and seriousness of traffic violations.
Highlights
Traffic crashes have been one of the main causes of death over the world
According to the road safety report of the World Health Organization (WHO), almost half of deaths worldwide are related to road transportation, and the number of traffic deaths has gradually increased and reached 1.35 million in 2016, which emphasizes the urgency of improving traffic safety [1]
Since the severity of traffic violations is a dependent variable with discrete characteristics, the discrete choice model is a suitable method for this research. e application of the random parameter multinomial logit model was undertaken by considering violations’ seriousness
Summary
Traffic crashes have been one of the main causes of death over the world. According to the road safety report of the World Health Organization (WHO), almost half of deaths worldwide are related to road transportation, and the number of traffic deaths has gradually increased and reached 1.35 million in 2016, which emphasizes the urgency of improving traffic safety [1]. Multiple research studies have shown that traffic violations and actual traffic crashes are closely related and both have worsened traffic safety [3]. E observed number of crashes is extremely small whereas the number of violations is much larger than that of crashes. Crashes are extremely rare random events caused by the combination of human, vehicle, and environmental factors. Even though such violations do not result in crashes, they still have a potential for actual crash occurrence. Us, violation data are worthy of investigation for the in-depth understanding of traffic safety. Violation data suffer less from the small observation issue. Us, a better understanding of traffic violation behaviors could provide advantageous contributions to road safety research Reducing the violation rate could significantly reduce the number of crashes [7]. us, a better understanding of traffic violation behaviors could provide advantageous contributions to road safety research
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