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The effects of safety knowledge and psychological factors on self-reported risky driving behaviors including group violations for e-bike riders in China
Institution:1. Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing, China;2. Intelligent Transportation Research Center, Southeast University, Nanjing, China;1. Department of Risk Engineering, Graduate School of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8573, Japan;2. Division of Policy and Planning Sciences, Faculty of Engineering, Information and Systems, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8573, Japan;1. Center for Transportation Research, University of Tennessee, Knoxville, TN, United States;2. Department of Geography, 304 Burchfiel Geography Building, University of Tennessee, Knoxville, TN, United States;3. Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, United States;1. Department of Management Science, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan;2. Department of Management Science, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan;3. Department of Mechanical Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantt, Pakistan;1. Technische Universität Chemnitz, Chemnitz, Germany;2. German Insurers Accident Research (UDV), Berlin, Germany
Abstract:ObjectivesIt is unknown that how safety knowledge and psychological factors affect e-bike rider safety. Also, group violation behaviors, which are commonly observed in the field, have been rarely examined for e-bike riders in China. In this paper, the effects of safety knowledge and psychological factors on self-reported risky driving behaviors including group violations were examined.MethodsA questionnaire was developed to acquire information of e-bike riders in Guilin, Guangxi Province. Explanatory factor analysis was used to examine the reliability of the questionnaire and exclude redundant measurement items. Then, a Structure Equation Model was developed to examine the relationships among safety knowledge, safety attitude, risk perception and risky driving behaviors. After that, multiple regression models were fitted to examine the effect of safety knowledge on each type of risky driving behavior, as well as factors associated with group violations. At last, ANOVA tests were conducted to identify significant differences among e-bike rider groups in safety knowledge, safety attitude, and risk perception.ResultsSafety knowledge was found significantly associated with risky driving behaviors for e-bike riders in China, including aggressive driving, erroneous driving, and group violations. E-bike riders severely lack safety knowledge, especially that of traffic rules, including unmarried riders, under-educated riders, riders without driver’s license, younger riders, and riders with little riding experience. Group violations were largely found among e-bike riders, and to be associated with safety knowledge of traffic rules, risk-taking attitude, and riding experience of e-bike riders.ConclusionsThe findings could add some new safety implication and be beneficial for developing safety policies and interventions for e-bikes.
Keywords:E-bike  Safety knowledge  Risky driving behavior  Group violations
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