Volume 42 Issue 1
Feb.  2024
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Article Navigation >  Journal of Transport Information and Safety  > 2024  >  42(1): 49-58
PEI Yulong, LONG Yu, MA Dan. Impacts of Traffic Safety Awareness on Risky Riding Behaviors among Non-Motorized Cyclists[J]. Journal of Transport Information and Safety, 2024, 42(1): 49-58. doi: 10.3963/j.jssn.1674-4861.2024.01.006
Citation: PEI Yulong, LONG Yu, MA Dan. Impacts of Traffic Safety Awareness on Risky Riding Behaviors among Non-Motorized Cyclists[J]. Journal of Transport Information and Safety, 2024, 42(1): 49-58. doi: 10.3963/j.jssn.1674-4861.2024.01.006
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Impacts of Traffic Safety Awareness on Risky Riding Behaviors among Non-Motorized Cyclists

doi: 10.3963/j.jssn.1674-4861.2024.01.006

  • Transportation Research Center, Northeast Forestry University, Harbin 150040, China

  • Received Date: 2023-09-04
    Available Online: 2024-05-31
    Abstract
  • Traffic safety awareness (TSA) of cyclists plays a crucial role in promoting safe behavior, but it is difficult to directly measure due to its multidimensionality and complexity. To investigate the impact of TSA on risky riding behavior (RRB), safety attitude, risk cognition, safety quality, and external environment are selected as the structural elements (or TSA elements) by using the cloud model, and the empirical research is carried out based on questionnaire data. The"TSA-RRB"structural equation model is developed, and the causal pathway from each TSA element to RRB is quantified by Mplus 8.0. The Bootstrap method is applied to verify the mediating roles of safety quality, risk cognition, and safety attitude, and the direct and indirect relationships between the external environment and RRB are sorted; subsequently, a hierarchical regression model is employed to validate the moderating effect of traffic safety knowledge (TSK) between TSA and RRB. The findings of this research are concluded as follows. ① the proposed structural equation model fits well with questionnaire data, and four TSA elements all have significant negative correlations with RRB. Specifically, risk cognition has the most considerable impact on unintentional behavior (-0.331), while safety attitude displays the greatest influence on intentional behavior (-0.332). ② Mediating effects show that the external environment, as an exogenous variable, could either directly act on riding behavior or indirectly affect the behavior through other TSA elements such as safety quality, risk cognition, and safety attitude. ③ The moderation effect of TSK is significant (∆R2 = 0.017, P < 0.05), enhancing the negative correlations between TSA and RRB, and the simple slope relationship between TSA and RRB implies that the effect of TSA on RRB is strengthened when the level of TSK is high.

     

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