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Electric Bicycle Lane-Changing Behavior under Strategy Games

Author

Listed:
  • Haipeng Shao

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Jiangping Wang

    (School of Highway, Chang’an University, Xi’an 710064, China)

  • Yin Wang

    (Baker Tilly China Certified Public Accountants (Xinjiang Branch), Urumqi 830000, China)

  • Sitian Chen

    (School of Highway, Chang’an University, Xi’an 710064, China)

Abstract

The random lane-changing behavior of electric bicycles brings a great safety hazard to urban transportation: According to the national traffic accident statistics in 2015, 8.22% of traffic accidents are caused by non-motor vehicle violations. Among them, the accident rate caused by electric bicycles is as high as 78%. In order to effectively analyze and quantify the risk of this lane-changing behavior, based on the non-cooperative strategy model under complete information, a Z-test of the speed before and after the “illegal” lane-changing behavior was carried out by using the data of the mixed-flow sections of Xi’an city. Constructing the judgment matrix to determine the weight value of motor vehicles’ game strategy and constructing the charge matrix, the utility income analysis of the electric bicycle and the affected motor vehicle is made by using the payment function, and the exceeding conflict model is established to quantify the risk level of the conflict number in the unit road. It is verified that the “illegal” lane-changing behavior of electric bicycles is a goal-oriented behavior for obtaining greater desired speed.

Suggested Citation

  • Haipeng Shao & Jiangping Wang & Yin Wang & Sitian Chen, 2018. "Electric Bicycle Lane-Changing Behavior under Strategy Games," Sustainability, MDPI, vol. 10(9), pages 1-12, August.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:3019-:d:165714
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    References listed on IDEAS

    as
    1. Lin, Xiao & Wells, Peter & Sovacool, Benjamin K., 2018. "The death of a transport regime? The future of electric bicycles and transportation pathways for sustainable mobility in China," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 255-267.
    2. Liu, Yi & Cheng, Rong-jun & Lei, Li & Ge, Hong-xia, 2016. "The influence of the non-motor vehicles for the car-following model considering traffic jerk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 376-382.
    3. Bagloee, Saeed Asadi & Sarvi, Majid & Wallace, Mark, 2016. "Bicycle lane priority: Promoting bicycle as a green mode even in congested urban area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 87(C), pages 102-121.
    4. Tang, Tie-Qiao & Luo, Xiao-Feng & Zhang, Jian & Chen, Liang, 2018. "Modeling electric bicycle’s lane-changing and retrograde behaviors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1377-1386.
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    Cited by:

    1. Quan Yuan & Xianguo Zhai & Wei Ji & Tiantong Yang & Yang Yu & Shengnan Yu, 2022. "Correlation Analysis on Accident Injury and Risky Behavior of Vulnerable Road Users Based on Bayesian General Ordinal Logit Model," Sustainability, MDPI, vol. 14(23), pages 1-11, December.

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