Using the Theory of Planned Behavior to Understand Traffic Violation Behaviors in E-Bike Couriers in China

This paper identifies salient beliefs that influence e-bike couriers' traffic violation behavior based on the theory of planned behavior (TPB). Two surveys were conducted in Nanjing, China, in 2018. The first survey extracted the key psychological beliefs, which were used to design a questionnaire. The second survey assessed TPB components and reported e-bike couriers' traffic violation behavior. A structural equation model was adopted to analyze the data. The results revealed that attitudes, descriptive norms, and perceived behavioral control explained 55.7% of the variance in intention to perform traffic violation behavior, and intentions together with perceived behavior control accounted for 28.5% of the variance in self-reported violation riding behavior. All of the belief composites had strong direct impacts on their respective TPB constructs. Salient beliefs were applied to develop effective intervention strategies. Age, education level, whether one possessed a driver's license, and past traffic violation behaviors had significant effects on belief composites and behavior. The quantitative analysis results obtained in the study can provide theoretical support for designing more effective interventions for reducing the traffic violation rate of e-bike couriers.

Automated summary

This study utilized the Theory of Planned Behavior to analyze the beliefs influencing e-bike couriers' traffic violation behaviors, finding that attitudes, descriptive norms, and perceived behavioral control significantly impact behavioral intentions. The research also revealed that factors such as age, education level, possession of a driver's license, and past traffic violation behaviors have significant effects on beliefs and behaviors.