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Risk Perception Sensitivity of Cyclists Based on the Cox Risk Perception Model

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  • Dan Zhao

    (College of Transportation Engineering, Chang’an University, Xi’an 710064, China
    Key Laboratory of Transport Industry of Management, Control and Cycle Repair Technology for Traffic Network Facilities in Ecological Security Barrier Area, Chang’an University, Xi’an 710064, China
    Infrastructure Department, Northwest University, Xi’an 710069, China)

  • Shengrui Zhang

    (College of Transportation Engineering, Chang’an University, Xi’an 710064, China
    Key Laboratory of Transport Industry of Management, Control and Cycle Repair Technology for Traffic Network Facilities in Ecological Security Barrier Area, Chang’an University, Xi’an 710064, China)

  • Bei Zhou

    (College of Transportation Engineering, Chang’an University, Xi’an 710064, China
    Key Laboratory of Transport Industry of Management, Control and Cycle Repair Technology for Traffic Network Facilities in Ecological Security Barrier Area, Chang’an University, Xi’an 710064, China)

  • Shuaiyang Jiao

    (College of Transportation Engineering, Chang’an University, Xi’an 710064, China
    Key Laboratory of Transport Industry of Management, Control and Cycle Repair Technology for Traffic Network Facilities in Ecological Security Barrier Area, Chang’an University, Xi’an 710064, China)

  • Ling Yang

    (China Railway First Survey and Design Institute Group Co., Ltd, Xi’an 710043, China)

Abstract

To promote the sustainable development and safety of bicycle traffic, survival analysis of the risk perception sensitivity of cyclists is proposed. The cumulative probability of survival serves as an index of risk perception sensitivity, and a Cox regression model is established. The proposed method is applied to middle school cyclists, and the factors of their risk perception are analyzed. Data are collected by questionnaire and traffic conflict survey and are quantified by factor analysis. The model results show that active and extroverted personality, negative peer influence, unsafe riding behavior intention, non-motor vehicle flow and speed, and a lack of separation facilities have negative correlations with risk perception sensitivity. Positive attitude towards traffic rules, good family education, heightened traffic safety awareness, motor vehicle flow and speed, pedestrian flow, and non-motorized lane width have positive correlations with risk perception sensitivity. The conflict type has no correlation with risk perception sensitivity. This study aims to improve the sensitivity of risk perception, prevent traffic conflicts and provide a theoretical basis for risk perception research on vulnerable traffic participants.

Suggested Citation

  • Dan Zhao & Shengrui Zhang & Bei Zhou & Shuaiyang Jiao & Ling Yang, 2020. "Risk Perception Sensitivity of Cyclists Based on the Cox Risk Perception Model," Sustainability, MDPI, vol. 12(7), pages 1-23, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2613-:d:337056
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    References listed on IDEAS

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    Cited by:

    1. Bi, Hui & Li, Aoyong & Zhu, He & Ye, Zhirui, 2023. "Bicycle safety outside the crosswalks: Investigating cyclists' risky street-crossing behavior and its relationship with built environment," Journal of Transport Geography, Elsevier, vol. 108(C).
    2. Wei Wang & Zhentian Sun & Liya Wang & Shanshan Yu & Jun Chen, 2020. "Evaluation Model for the Level of Service of Shared-Use Paths Based on Traffic Conflicts," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    3. Rafael Hologa & Nils Riach, 2020. "Approaching Bike Hazards via Crowdsourcing of Volunteered Geographic Information," Sustainability, MDPI, vol. 12(17), pages 1-14, August.

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