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Analysis of Risky Driving Behavior of Urban Electric Bicycle Drivers for Improving Safety

Author

Listed:
  • Dan Zhou

    (School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541004, China)

  • Mengying Chang

    (School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541004, China)

  • Guobin Gu

    (School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541004, China)

  • Xin Sun

    (School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541004, China)

  • Huizhi Xu

    (School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, China)

  • Wenhan Wang

    (School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541004, China)

  • Tao Wang

    (School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541004, China)

Abstract

In this work, to clarify the impact of electric bicycle drivers’ risky driving behavior on driving safety, we used multiple regression analysis methods combined with a questionnaire survey of residents of the city of Guilin, China. We studied the impact of the two dimensions of safety knowledge and safety attitude on risky driving behavior, and identified the differences in the impact of these two dimensions from the perspective of personal characteristics. Through modeling analysis, we found that “responsible attitude” and “group behavior attitude” explain 62.4% of the variation in aggressive behavior; 48.5% of the variation in negligent behavior is caused by “age”, “safety knowledge” and “responsible attitude”; and 52% of the variation in violations is caused by “age”, “violation attitude” and “group behavior attitude”. The results show that “group behavior attitude” affects the occurrence of aggression; that safety knowledge has a significant negative impact on unintentional negligence but has no significant effect on deliberate violations and aggression; and that the difference in risky driving behavior is mainly manifested in “age”, “gender”, “violation” and “accident experience”.

Suggested Citation

  • Dan Zhou & Mengying Chang & Guobin Gu & Xin Sun & Huizhi Xu & Wenhan Wang & Tao Wang, 2022. "Analysis of Risky Driving Behavior of Urban Electric Bicycle Drivers for Improving Safety," Sustainability, MDPI, vol. 14(3), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1243-:d:731127
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    References listed on IDEAS

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    1. Elliot Fishman & Christopher Cherry, 2016. "E-bikes in the Mainstream: Reviewing a Decade of Research," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 72-91, January.
    2. Xingchen Yan & Tao Wang & Xiaofei Ye & Jun Chen & Zhen Yang & Hua Bai, 2018. "Recommended Widths for Separated Bicycle Lanes Considering Abreast Riding and Overtaking," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
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    Cited by:

    1. Manja Hoppe Andreasen & Jytte Agergaard & Lasse Møller-Jensen & Martin Oteng-Ababio & Gerald Albert Baeribameng Yiran, 2022. "Mobility Disruptions in Accra: Recurrent Flooding, Fragile Infrastructure and Climate Change," Sustainability, MDPI, vol. 14(21), pages 1-19, October.

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