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...

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Main Authors: Dissakoon Chonsalasin, Thanapong Champahom, Chamroeun Se, Savalee Uttra, Fareeda Watcharamaisakul, Sajjakaj Jomnonkwao, Vatanavongs Ratanavaraha
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Future Transportation
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Online Access:https://www.mdpi.com/2673-7590/5/1/26
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author Dissakoon Chonsalasin
Thanapong Champahom
Chamroeun Se
Savalee Uttra
Fareeda Watcharamaisakul
Sajjakaj Jomnonkwao
Vatanavongs Ratanavaraha
author_facet Dissakoon Chonsalasin
Thanapong Champahom
Chamroeun Se
Savalee Uttra
Fareeda Watcharamaisakul
Sajjakaj Jomnonkwao
Vatanavongs Ratanavaraha
author_sort Dissakoon Chonsalasin
collection DOAJ
description 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.
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institution Kabale University
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publisher MDPI AG
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series Future Transportation
spelling doaj-art-5307b90cd85a4312ada91a0175f68eec2025-08-20T03:43:22ZengMDPI AGFuture Transportation2673-75902025-03-01512610.3390/futuretransp5010026Analyzing Motorcycle Traffic Violations in Thailand: A Logit Model Approach to Urban and Rural DifferencesDissakoon Chonsalasin0Thanapong Champahom1Chamroeun Se2Savalee Uttra3Fareeda Watcharamaisakul4Sajjakaj Jomnonkwao5Vatanavongs Ratanavaraha6Department of Transportation, Faculty of Railway Systems and Transportation, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, ThailandDepartment of Management, Faculty of Business Administration, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, ThailandSchool of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, ThailandDepartment of Logistics Engineering and Transportation Technology, Faculty of Engineering and Industrial Technology, Kalasin University, Kalasin 46000, ThailandSchool of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, ThailandSchool of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, ThailandSchool of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, ThailandMotorcycles 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.https://www.mdpi.com/2673-7590/5/1/26multinomial logit model (MLM)motorcycle rider behavior question (MRBQ)riders’ attitudedeveloping countriesriding licenses
spellingShingle Dissakoon Chonsalasin
Thanapong Champahom
Chamroeun Se
Savalee Uttra
Fareeda Watcharamaisakul
Sajjakaj Jomnonkwao
Vatanavongs Ratanavaraha
Analyzing Motorcycle Traffic Violations in Thailand: A Logit Model Approach to Urban and Rural Differences
Future Transportation
multinomial logit model (MLM)
motorcycle rider behavior question (MRBQ)
riders’ attitude
developing countries
riding licenses
title Analyzing Motorcycle Traffic Violations in Thailand: A Logit Model Approach to Urban and Rural Differences
title_full Analyzing Motorcycle Traffic Violations in Thailand: A Logit Model Approach to Urban and Rural Differences
title_fullStr Analyzing Motorcycle Traffic Violations in Thailand: A Logit Model Approach to Urban and Rural Differences
title_full_unstemmed Analyzing Motorcycle Traffic Violations in Thailand: A Logit Model Approach to Urban and Rural Differences
title_short Analyzing Motorcycle Traffic Violations in Thailand: A Logit Model Approach to Urban and Rural Differences
title_sort analyzing motorcycle traffic violations in thailand a logit model approach to urban and rural differences
topic multinomial logit model (MLM)
motorcycle rider behavior question (MRBQ)
riders’ attitude
developing countries
riding licenses
url https://www.mdpi.com/2673-7590/5/1/26
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