Red light running by young motorcyclists: Factors and beliefs influencing intentions and behavior |
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| Affiliation: | 1. Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand;2. Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand;1. School of Psychology and Sport Science, Anglia Ruskin University, Cambridge, UK;2. Cambridgeshire County Council, Cambridge, UK;1. Civil Engineering Programme, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, UKM, Bangi, Selangor 43600, Malaysia;2. Smart and Sustainable Township Research Centre, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, UKM, Bangi, Selangor 43600, Malaysia;1. Universidad Politécnica de Madrid, Departamento de Ingeniería del Transporte, Territorioy Urbanismo C/Profesor Aranguren, 3, 28040 Madrid, Spain;2. Roma TRE University, Department of Engineering, via Vito Volterran, 62, 00146 Rome, Italy;1. School of Traffic &Transportation Engineering, Central South University, Changsha 410075, China;2. Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, 999077, Hong Kong, China;3. Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL 32816, United States;1. Road and Traffic Key Laboratory, Ministry of Education, Shanghai 201804, China;2. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, SiPaiLou #2, Nanjing 210096, China;3. College of Transportation Engineering, Tongji University, 4800 Cao''an Road, Shanghai 201804, China;4. Zachry of Civil Engineering, Texas A&M University, College Station 77840, United States |
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| Abstract: | Traffic violations by young riders are major safety problems in motorcycle dominated countries. This study investigates young motorcyclist’s red light running (RLR) intentions and behavior based on the Theory of Planned Behavior (TPB) framework. Behavioral, normative, and control beliefs underlying rider’s RLR are identified. Young riders (N = 246) complete a TPB questionnaire measuring direct and beliefs-based measurement items. The exploratory factor analysis technique reveals factors according to TPB. Structural Equation Modeling (SEM) results show moderate to good fits to the observed data and provide qualified support for the utility of TPB in explaining traffic violation behavior. The findings reveal that perceived norm and attitude dominate violation intentions. Beliefs about normative referents and negative outcomes affect RLR intentions. Intentions affect behavior, especially when riders lack of perceived autonomy. Rider’s degree of control is affected by the beliefs about facilitating circumstances and weather conditions. Besides, perceived autonomy and perceived capacity each influence violation intention and behavior independently. Implications for young motorcyclist safety interventions based on current findings are discussed. |
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| Keywords: | Traffic violations Riders Autonomy Theory of Planned Behavior Developing countries |
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