TY  - JOUR
PY  - 2023//
TI  - Shared e-bike riders' psychology contribution to self-reported traffic accidents: a structural equation model approach with mediation analysis
JO  - Journal of transportation safety and security
A1  - Zhang, Xiaolong
A1  - Huang, Jianling
A1  - Bian, Yang
A1  - Zhao, Xiaohua
A1  - Han, Tangshan
SP  - 895
EP  - 917
VL  - 15
IS  - 9
N2  - With the rise of the transportation mode of shared electric bikes (shared e-bikes) in China, shared e-bike related accidents have gradually increased. To facilitate the design of safety policies, it is important to understand the factors that influence shared e-bike riders' traffic accidents to facilitate intervention strategies. For this purpose, the structural equation model (SEM) with mediation analysis was applied by incorporating seven latent factors: traffic accidents, traffic violation behaviors, attitude toward safety responsibility, and attitude toward rule violations, risk perception, perceptive-motor skills, and safety skills. A questionnaire survey of a sample of 406 shared e-bike riders in China was conducted to obtain self-reported survey data. The results reveal that traffic violation behaviors and attitude toward safety responsibility had a statistically significant consequence on traffic accidents. Attitude toward rule violations, perceptive-motor skills, and safety skills can predict shared e-bike riders' traffic accidents when the traffic violation behaviors are used as a mediator. Moreover, risk perception could also be used to predict shared e-bike riders' traffic accidents when using attitudes toward safety responsibility or rule violations and traffic violation behaviors as a mediator. This paper lays a foundation for policymakers and traffic managers to develop effective intervention strategies and improve shared e-bike safety.<p />  <p>Language: en</p>
LA  - en
SN  - 1943-9962
UR  - http://dx.doi.org/10.1080/19439962.2022.2137868
ID  - ref1
ER  -