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Why do drivers continue driving while fatigued? An application of the theory of planned behaviour

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Listed:
  • Jiang, Kang
  • Ling, Feiyang
  • Feng, Zhongxiang
  • Wang, Kun
  • Shao, Cheng

Abstract

Fatigued driving is one of the major contributors to road crashes around the world. To explore factors affecting fatigued driving behaviour from the perspective of social psychology, a questionnaire was designed based on the theory of planned behaviour.

Suggested Citation

  • Jiang, Kang & Ling, Feiyang & Feng, Zhongxiang & Wang, Kun & Shao, Cheng, 2017. "Why do drivers continue driving while fatigued? An application of the theory of planned behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 141-149.
  • Handle: RePEc:eee:transa:v:98:y:2017:i:c:p:141-149
    DOI: 10.1016/j.tra.2017.02.003
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    References listed on IDEAS

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    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
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    Cited by:

    1. Xiaoxiao Wang & Liangjie Xu, 2021. "Factors Influencing Young Drivers’ Willingness to Engage in Risky Driving Behavior: Continuous Lane-Changing," Sustainability, MDPI, vol. 13(11), pages 1-18, June.
    2. Liping Pang & Pei Li & Liang Guo & Xin Wang & Hongquan Qu, 2022. "Prediction Method of Human Fatigue in an Artificial Atmospheric Environment Based on Dynamic Bayesian Network," Mathematics, MDPI, vol. 10(15), pages 1-13, August.
    3. Debbie Hopkins & Enrique García Bengoechea & Sandra Mandic, 2021. "Adolescents and their aspirations for private car-based transport," Transportation, Springer, vol. 48(1), pages 67-93, February.
    4. Bircan Arslannur & Ahmet Tortum, 2023. "Public Transport Modeling for Commuting in Cities with Different Development Levels Using Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 15(15), pages 1-24, August.
    5. Yunteng Chen & Xianyong Liu & Jinliang Xu & Huan Liu, 2022. "Underestimated Risk Perception Characteristics of Drivers Based on Extended Theory of Planned Behavior," IJERPH, MDPI, vol. 19(5), pages 1-19, February.
    6. Muhammad A. Saleem & Hina Ismail & Rao Akmal Ali, 2021. "Actions Speak Louder than Words: Investigating the Interplay between Descriptive and Injunctive Norms to Promote Alternative Fuel Vehicles," Sustainability, MDPI, vol. 13(17), pages 1-17, August.
    7. Wei Luo & Silong Wei & Yi Wang & Pengpeng Jiao, 2023. "People’s Intentions to Use Shared Autonomous Vehicles: An Extended Theory of Planned Behavior Model," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    8. Longhai Yang & Xiqiao Zhang & Xiaoyan Zhu & Yule Luo & Yi Luo, 2019. "Research on Risky Driving Behavior of Novice Drivers," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    9. Qi Zhong & Jinyi Zhi & Yongsheng Xu & Pengfei Gao & Shu Feng, 2024. "Applying an Extended Theory of Planned Behavior to Predict Young Drivers’ In-Vehicle Information System (IVIS) Use Intention and Behavior While Driving: A Longitudinal Two-Wave Survey," Sustainability, MDPI, vol. 16(20), pages 1-17, October.
    10. Weiwei Qi & Shufang Zhu & Wanqing Long, 2023. "Exploring the factors that affect the defensive driving behavior of bus drivers: the application of TPB and PMT theories," Public Transport, Springer, vol. 15(1), pages 227-251, March.

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