School of Architecture and Transportation, Guilin University of Electronic Technology, Jinji Road 1#, Guilin 541004, China.
Faculty of Maritime and Transportation, Ningbo University, Fenghua Road 818#, Ningbo 315211, China.
Int J Environ Res Public Health. 2020 Jul 2;17(13):4763. doi: 10.3390/ijerph17134763.
To identify and quantify the factors that influence the risky riding behaviors of electric bike riders, we designed an e-bike rider behavior questionnaire (ERBQ) and obtained 573 valid samples through tracking surveys and random surveys. An exploratory factor analysis was then conducted to extract four scales: riding confidence, safety attitude, risk perception, and risky riding behavior. Based on the exploratory factor analysis, a structural equation model (SEM) of electric bike riding behaviors was constructed to explore the intrinsic causal relationships among the variables that affect the risky e-bike riding behavior. The results show that the relationship between riding confidence and risky riding behavior is mediated by risk perception and safety attitudes. Safety attitude was found to be significantly associated with risky riding behaviors. Specifically, herd mentality is most closely related to safety attitudes, which means that those engaged in e-bike traffic management and safety education should pay special attention to riders' psychological management and education. Risk perception has a direct path to risky riding behaviors. Specifically, stochastic evaluation and concern degree are significantly related to e-bike riders' risk perception. The findings of this study provide an empirical basis for the creation of safety interventions for e-bike riders in China.
为了识别和量化影响电动自行车骑手危险骑行行为的因素，我们设计了一份电动自行车骑手行为问卷（ERBQ），并通过跟踪调查和随机调查获得了 573 份有效样本。然后，我们进行了探索性因素分析，提取了四个量表：骑行信心、安全态度、风险感知和危险骑行行为。基于探索性因素分析，我们构建了一个电动自行车骑行行为的结构方程模型（SEM），以探索影响危险电动自行车骑行行为的变量之间的内在因果关系。结果表明，骑行信心与危险骑行行为之间的关系受到风险感知和安全态度的中介影响。安全态度与危险骑行行为显著相关。具体来说，羊群心理与安全态度最密切相关，这意味着在进行电动自行车交通管理和安全教育时，应特别注意骑手的心理管理和教育。风险感知对危险骑行行为有直接影响。具体来说，随机评估和关注程度与电动自行车骑手的风险感知显著相关。本研究的结果为中国电动自行车骑手安全干预措施的制定提供了实证依据。
