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Driving Anger, Aberrant Driving Behaviors, and Road Crash Risk: Testing of a Mediated Model

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  • Tingru Zhang

    (Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China
    Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China)

  • Alan H. S. Chan

    (Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China)

  • Hongjun Xue

    (School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, China)

  • Xiaoyan Zhang

    (Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China
    School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, China
    Key laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, Shenzhen University, Shenzhen 518060, China)

  • Da Tao

    (Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China)

Abstract

With the dramatic increase in motorization, road traffic crashes have become the leading cause of death in China. To reduce the losses associated with road safety problems, it is important to understand the risk factors contributing to the high crash rate among Chinese drivers. This study investigated how driving anger and aberrant driving behaviors are related to crash risk by proposing and testing one mediated model. In this model, the effects of driving anger on road crash risk were mediated by aberrant driving behaviors. However, unlike previous studies, instead of using the overall scale scores, the subscales of driving anger and aberrant driving behaviors were used to establish the mediated model in this study. To test the validity of this model, an Internet-based questionnaire, which included various measures of driving anger, aberrant driving, and road crash history, was completed by a sample of 1974 Chinese drivers. The results showed that the model fitted the data very well and aberrant driving behaviors fully mediated the effects of driving anger on road crash risk. Findings from the present study are useful for the development of countermeasures to reduce road traffic crashes in China.

Suggested Citation

  • Tingru Zhang & Alan H. S. Chan & Hongjun Xue & Xiaoyan Zhang & Da Tao, 2019. "Driving Anger, Aberrant Driving Behaviors, and Road Crash Risk: Testing of a Mediated Model," IJERPH, MDPI, vol. 16(3), pages 1-13, January.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:3:p:297-:d:199929
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    Citations

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    Cited by:

    1. Milanko Damjanović & Spasoje Mićić & Boško Matović & Dragan Jovanović & Aleksandar Bulajić, 2022. "Differences in Driving Anger among Professional Drivers: A Cross-Cultural Study," IJERPH, MDPI, vol. 19(7), pages 1-18, March.
    2. Karoline Gomes-Franco & Mario Rivera-Izquierdo & Luis Miguel Martín-delosReyes & Eladio Jiménez-Mejías & Virginia Martínez-Ruiz, 2020. "Explaining the Association between Driver’s Age and the Risk of Causing a Road Crash through Mediation Analysis," IJERPH, MDPI, vol. 17(23), pages 1-12, December.
    3. Yubing Zheng & Yang Ma & Nan Li & Jianchuan Cheng, 2019. "Personality and Behavioral Predictors of Cyclist Involvement in Crash-Related Conditions," IJERPH, MDPI, vol. 16(24), pages 1-19, December.
    4. Shuling Li & Tingru Zhang & Ben D. Sawyer & Wei Zhang & Peter A. Hancock, 2019. "Angry Drivers Take Risky Decisions: Evidence from Neurophysiological Assessment," IJERPH, MDPI, vol. 16(10), pages 1-14, May.
    5. Adrian Barchański & Renata Żochowska & Marcin Jacek Kłos, 2022. "A Method for the Identification of Critical Interstop Sections in Terms of Introducing Electric Buses in Public Transport," Energies, MDPI, vol. 15(20), pages 1-37, October.
    6. Da Tao & Xiaofeng Diao & Xingda Qu & Xiaoting Ma & Tingru Zhang, 2023. "The Predictors of Unsafe Behaviors among Nuclear Power Plant Workers: An Investigation Integrating Personality, Cognitive and Attitudinal Factors," IJERPH, MDPI, vol. 20(1), pages 1-15, January.
    7. Tingru Zhang & Zhaopeng Liu & Shiwen Zheng & Xingda Qu & Da Tao, 2020. "Predicting Errors, Violations, and Safety Participation Behavior at Nuclear Power Plants," IJERPH, MDPI, vol. 17(15), pages 1-14, August.
    8. Kłos, Marcin Jacek & Sierpiński, Grzegorz, 2023. "Siting of electric vehicle charging stations method addressing area potential and increasing their accessibility," Journal of Transport Geography, Elsevier, vol. 109(C).

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