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Jul 2, 2019
Investigating Effects of Temporal and Locational Factors on Traffic Violations of Taxi Drivers: Data from Off-Site Enforcement Camera System
Authors: Yan Liu [email protected], Haiyue Liu [email protected], Yue Zhou [email protected], Chuanyun Fu, Ph.D. [email protected], and Quan Zhu [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
From temporal and locational perspectives, the influence factors of traffic violations for taxi drivers remain unclear. Hence, this study attempts to investigate the effects of temporal and locational factors on traffic violations of taxi drivers using descriptive statistics and Chi-square test based on data extracted from the off-site enforcement camera system during the year 2016 in Luzhou, P.R. China. The results show that the most common traffic violation of taxi drivers is “use of an improper oriented lane”; season, day of week, time of day, road type, and road segment have varying influences on traffic violations of taxi drivers. Apart from speeding that mainly takes place on the secondary highway in the urban settings, the other traffic violations largely happen on the urban road. The findings of this study imply that traffic supervisions and interventions specifically proposed for traffic violations of taxi drivers should consider the appropriate time and location.
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© 2019 American Society of Civil Engineers.
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Published online: Jul 2, 2019
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Ph.D. Student, School of Transportation, Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., Nanjing 211100, P.R. China. E-mail: [email protected]
Master Student, School of Transportation and Logisitics, Southwest Jiaotong Univ., Chengdu 611756, P.R. China. E-mail: [email protected]
Ph.D. Student, School of Transportation and Logisitics, Southwest Jiaotong Univ., Chengdu 611756, P.R. China. E-mail: [email protected]
School of Transportation and Logisitics, National United Engineering Laboratory of Integrated and Intelligent Transportation, National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong Univ., Chengdu 611756, P.R. China. E-mail: [email protected]
Senior Engineer, Kunming Urban Transport Institute, Kunming 650200, P.R. China. E-mail: [email protected]
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