A study of motorcycle riders related to speeding behavior in Thailand’s Industrial zones

Abstract Despite the considerable efforts to address traffic crashes, overspeeding in industrial zones remains a primary cause in Thailand. In order to effectively against this challenge (overspeeding), the deep-rooted factors influencing speeding behaviors, particularly drivers’ risky behaviors, mu...

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Main Authors: Manlika Seefong, Panuwat Wisutwattanasak, Chamroeun Se, Kestsirin Theerathitichaipa, Sajjakaj Jomnonkwao, Thanapong Champahom, Vatanavongs Ratanavaraha, Rattanaporn Kasemsri
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-81793-1
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author Manlika Seefong
Panuwat Wisutwattanasak
Chamroeun Se
Kestsirin Theerathitichaipa
Sajjakaj Jomnonkwao
Thanapong Champahom
Vatanavongs Ratanavaraha
Rattanaporn Kasemsri
author_facet Manlika Seefong
Panuwat Wisutwattanasak
Chamroeun Se
Kestsirin Theerathitichaipa
Sajjakaj Jomnonkwao
Thanapong Champahom
Vatanavongs Ratanavaraha
Rattanaporn Kasemsri
author_sort Manlika Seefong
collection DOAJ
description Abstract Despite the considerable efforts to address traffic crashes, overspeeding in industrial zones remains a primary cause in Thailand. In order to effectively against this challenge (overspeeding), the deep-rooted factors influencing speeding behaviors, particularly drivers’ risky behaviors, must be understood. Thus, this study employs the theory of planned behavior (TPB) and the framework comprising three basic Es (Education, Engineering, and Enforcement) and additional Es (Emergency response), i.e., the 3Es + Es framework, to examine these deep-rooted factors while considering the riders’ sociodemographic data. Additionally, we performed structural equation modeling to investigate the factors influencing speeding behaviors, with key findings revealing that Engineering factors significantly account for overspeeding. Conversely, we revealed that attitude, subjective norm, and perceived behavioral control (which are essential TPB components) significantly influence riders’ intentions to exhibit safe behavior, resulting in reduced speeding. Additionally, our examination of latent factors based on riders’ sociodemographic data revealed that age, marital status, income, riding experience, crash history, and traffic tickets are significant factors that determine speeding habits. Specifically, we observed that single riders and those with less than five years of riding experience were less likely to exhibit safe riding behaviors. Overall, our findings would benefit Thailand’s road-safety authorities, as we specifically proposed appropriate policies and empirical guidelines for Thailand’s industrial zones, which are prone to high crash rates. This could effectively reduce speeding among motorcycle riders and mitigate traffic crashes.
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spelling doaj-art-85c1a444d3d048b78a73fa7c860caa742024-12-08T12:27:59ZengNature PortfolioScientific Reports2045-23222024-12-0114111410.1038/s41598-024-81793-1A study of motorcycle riders related to speeding behavior in Thailand’s Industrial zonesManlika Seefong0Panuwat Wisutwattanasak1Chamroeun Se2Kestsirin Theerathitichaipa3Sajjakaj Jomnonkwao4Thanapong Champahom5Vatanavongs Ratanavaraha6Rattanaporn Kasemsri7School of Transportation Engineering, Institute of Engineering, Suranaree University of TechnologyInstitute of Research and Development, Suranaree University of TechnologyInstitute of Research and Development, Suranaree University of TechnologySchool of Transportation Engineering, Institute of Engineering, Suranaree University of TechnologySchool of Transportation Engineering, Institute of Engineering, Suranaree University of TechnologyDepartment of Management, Faculty of Business Administration, Rajamangala University of Technology IsanSchool of Transportation Engineering, Institute of Engineering, Suranaree University of TechnologySchool of Civil Engineering, Institute of Engineering, Suranaree University of TechnologyAbstract Despite the considerable efforts to address traffic crashes, overspeeding in industrial zones remains a primary cause in Thailand. In order to effectively against this challenge (overspeeding), the deep-rooted factors influencing speeding behaviors, particularly drivers’ risky behaviors, must be understood. Thus, this study employs the theory of planned behavior (TPB) and the framework comprising three basic Es (Education, Engineering, and Enforcement) and additional Es (Emergency response), i.e., the 3Es + Es framework, to examine these deep-rooted factors while considering the riders’ sociodemographic data. Additionally, we performed structural equation modeling to investigate the factors influencing speeding behaviors, with key findings revealing that Engineering factors significantly account for overspeeding. Conversely, we revealed that attitude, subjective norm, and perceived behavioral control (which are essential TPB components) significantly influence riders’ intentions to exhibit safe behavior, resulting in reduced speeding. Additionally, our examination of latent factors based on riders’ sociodemographic data revealed that age, marital status, income, riding experience, crash history, and traffic tickets are significant factors that determine speeding habits. Specifically, we observed that single riders and those with less than five years of riding experience were less likely to exhibit safe riding behaviors. Overall, our findings would benefit Thailand’s road-safety authorities, as we specifically proposed appropriate policies and empirical guidelines for Thailand’s industrial zones, which are prone to high crash rates. This could effectively reduce speeding among motorcycle riders and mitigate traffic crashes.https://doi.org/10.1038/s41598-024-81793-1Structural equation modelingTheory of planned behavior3Es + EsSpeeding behaviorMotorcycle rider
spellingShingle Manlika Seefong
Panuwat Wisutwattanasak
Chamroeun Se
Kestsirin Theerathitichaipa
Sajjakaj Jomnonkwao
Thanapong Champahom
Vatanavongs Ratanavaraha
Rattanaporn Kasemsri
A study of motorcycle riders related to speeding behavior in Thailand’s Industrial zones
Scientific Reports
Structural equation modeling
Theory of planned behavior
3Es + Es
Speeding behavior
Motorcycle rider
title A study of motorcycle riders related to speeding behavior in Thailand’s Industrial zones
title_full A study of motorcycle riders related to speeding behavior in Thailand’s Industrial zones
title_fullStr A study of motorcycle riders related to speeding behavior in Thailand’s Industrial zones
title_full_unstemmed A study of motorcycle riders related to speeding behavior in Thailand’s Industrial zones
title_short A study of motorcycle riders related to speeding behavior in Thailand’s Industrial zones
title_sort study of motorcycle riders related to speeding behavior in thailand s industrial zones
topic Structural equation modeling
Theory of planned behavior
3Es + Es
Speeding behavior
Motorcycle rider
url https://doi.org/10.1038/s41598-024-81793-1
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