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Shared e-bike riders' psychology contribution to self-reported traffic accidents: a structural equation model approach with mediation analysis.
- Source :
-
Journal of Transportation Safety & Security . 2023, Vol. 15 Issue 9, p895-917. 23p. - Publication Year :
- 2023
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 19439962
- Volume :
- 15
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- Journal of Transportation Safety & Security
- Publication Type :
- Academic Journal
- Accession number :
- 171842863
- Full Text :
- https://doi.org/10.1080/19439962.2022.2137868