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Future Transportation
Volume 5
Issue 1
10.3390/futuretransp5010026
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Article

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

by
Dissakoon Chonsalasin
1,
Thanapong Champahom
2,*,
Chamroeun Se
3,
Savalee Uttra
4,
Fareeda Watcharamaisakul
3,
Sajjakaj Jomnonkwao
3 and
Vatanavongs Ratanavaraha
3
1
Department of Transportation, Faculty of Railway Systems and Transportation, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, Thailand
2
Department of Management, Faculty of Business Administration, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, Thailand
3
School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
4
Department of Logistics Engineering and Transportation Technology, Faculty of Engineering and Industrial Technology, Kalasin University, Kalasin 46000, Thailand
*
Author to whom correspondence should be addressed.
Future Transp. 2025, 5(1), 26; https://doi.org/10.3390/futuretransp5010026
Submission received: 27 December 2024 / Revised: 25 January 2025 / Accepted: 18 February 2025 / Published: 1 March 2025
(This article belongs to the Special Issue Emerging Issues in Transport and Mobility)
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Abstract

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.
Keywords: multinomial logit model (MLM); motorcycle rider behavior question (MRBQ); riders’ attitude; developing countries; riding licenses multinomial logit model (MLM); motorcycle rider behavior question (MRBQ); riders’ attitude; developing countries; riding licenses

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MDPI and ACS Style

Chonsalasin, D.; Champahom, T.; Se, C.; Uttra, S.; Watcharamaisakul, F.; Jomnonkwao, S.; Ratanavaraha, V. Analyzing Motorcycle Traffic Violations in Thailand: A Logit Model Approach to Urban and Rural Differences. Future Transp. 2025, 5, 26. https://doi.org/10.3390/futuretransp5010026

AMA Style

Chonsalasin D, Champahom T, Se C, Uttra S, Watcharamaisakul F, Jomnonkwao S, Ratanavaraha V. Analyzing Motorcycle Traffic Violations in Thailand: A Logit Model Approach to Urban and Rural Differences. Future Transportation. 2025; 5(1):26. https://doi.org/10.3390/futuretransp5010026

Chicago/Turabian Style

Chonsalasin, Dissakoon, Thanapong Champahom, Chamroeun Se, Savalee Uttra, Fareeda Watcharamaisakul, Sajjakaj Jomnonkwao, and Vatanavongs Ratanavaraha. 2025. "Analyzing Motorcycle Traffic Violations in Thailand: A Logit Model Approach to Urban and Rural Differences" Future Transportation 5, no. 1: 26. https://doi.org/10.3390/futuretransp5010026

APA Style

Chonsalasin, D., Champahom, T., Se, C., Uttra, S., Watcharamaisakul, F., Jomnonkwao, S., & Ratanavaraha, V. (2025). Analyzing Motorcycle Traffic Violations in Thailand: A Logit Model Approach to Urban and Rural Differences. Future Transportation, 5(1), 26. https://doi.org/10.3390/futuretransp5010026

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