A Decision-Making Model of College Students'Red Light Crossing Behavior on the Basis of the Theory of Planned Behavior

作者：Ma, Yingying; Lu, Siyuan

来源：Journal of South China University of Technology(Natural Science Edition), 2018, 46(9): 73-81.

DOI：10.3969/j.issn.1000-565X.2018.09.011

• College students
• Red light
• Structural equation modeling
• Theory of Planned Behavior
• Traffic safety

This paper proposes a decision-making model of college students who run the red lights by means of the theory of planned behavior to consider the characteristics of urban road traffic environment in China. Firstly, six scenarios of road crossing are proposed according to a traffic flow, road width and central safety island. Secondly, a questionnaire on each scenario was designed according to the theory of planned behavior and the behavioral experience variables. The survey was carried out in Guangzhou with a result of 376 valid samples, with an effective rate of 91.75%. The reliability analysis and confirmatory factor analysis of the survey data show that the data were reliable, valid and internally consistent. Finally, a structural equation model (SEM) was used to analyze college students'crossing behaviors in six scenarios, and six structural path diagrams were obtained. The results showed that the attitudes towards crossing the red lights and the new behavioral experience have no significant correlation to behavioral intentions. However, subjective norms and perceived behavioral control were significantly related to behavioral intentions. The perceptual behavior control was a powerful predictor of behavioral intentions, which can not only predict behavioral intention, but also act directly on actual behavior.

• 出版日期2018-9-1
• 单位华南理工大学