Analyzing Motorcycle Traffic Violations in Thailand: A Logit Model Approach to Urban and Rural Differences

Motorcycles are a prominent contributor to most fatalities arising from traffic incidents, primarily due to drivers’ failure to adhere to traffic laws. Notably, differences in traffic violation frequency between urban and rural motorcyclists can be ascribed to variations in law enforcement practices and security budget allocations between these areas. This study aims to identify the key determinants influencing the frequency of traffic violations across these distinct geographical regions. The investigation incorporates independent variables such as personal demographics (including gender and age), driving experience, and attitudes toward traffic regulations. The analysis involved the formulation and examination of two separate logit models, each corresponding to urban and non-urban characteristics. The outcomes of a transferability test highlighted distinct disparities between the two models, with the rural model demonstrating a higher number of significant variables. In both models, certain variables consistently influenced the frequency of traffic violations. Lower violation frequencies were associated with factors such as specific age ranges, frequency of driving, and possession of a driver’s license. The insights derived from this study were leveraged to formulate policy recommendations to curb traffic violations among motorcyclists, contributing to enhancing overall traffic safety.