Volume 39 Issue 3
Jun.  2021
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Article Navigation >  Journal of Transport Information and Safety  > 2021  >  39(3): 25-32
TANG Tianpei, CHEN Feng, GUO Yuntao, ZHU Senlai. Influencing Factors of Electrical Bikes'Risky Riding Behaviors Based on Reinforcement Sensitivity Theory[J]. Journal of Transport Information and Safety, 2021, 39(3): 25-32. doi: 10.3963/j.jssn.1674-4861.2021.03.004
Citation: TANG Tianpei, CHEN Feng, GUO Yuntao, ZHU Senlai. Influencing Factors of Electrical Bikes'Risky Riding Behaviors Based on Reinforcement Sensitivity Theory[J]. Journal of Transport Information and Safety, 2021, 39(3): 25-32. doi: 10.3963/j.jssn.1674-4861.2021.03.004
shu

Influencing Factors of Electrical Bikes'Risky Riding Behaviors Based on Reinforcement Sensitivity Theory

doi: 10.3963/j.jssn.1674-4861.2021.03.004
  • 1.

    School of Transportation and Civil Engineering, Nantong University, Nantong 226019, Jiangsu, China

  • 2.

    The Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China

  • Received Date: 2020-10-18
    Abstract
  • From a traffic management perspective towards the reward and punishment strategies, the work studies the influence mechanisms of the reward and punishment responses of electric bike riders on their risky riding behaviors.A psychological cognitive model for risky riding behaviors is developed based on the revised reinforcement sensitivity.Perceived risk and risky riding intention are incorporated into the proposed framework, accounting for the potential impacts of gender, age, and riding frequency.The structural equation model is used to identify key psychological factors influencing risky riding behaviors with the self-reported survey data of 402 valid samples.The model-estimation results are as follows: ①The revised psychological cognitive model fits the data well(χ2/df=1.343, and RMSEA=0.029)and can explain 48%of the variance in risky riding behaviors.②Punishment sensitivity and reward sensitivity significantly affect risky riding behaviors, with the stronger influence of the latter.③Perceived risk and risky riding intention statistically affect risky riding behaviors.④Gender directly affects punishment sensitivity and rewardsensitivity and indirectly affects the risky riding behaviors via both variables.The influence of age and riding frequency on each variable is not significant.

     

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