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.%根据我国城市道路交通环境特点,以大学生为研究对象,应用计划行为理论对行人闯红灯行为进行行为决策建模.首先,根据车流量、道路宽度和有无中央安全岛将行人过街环境分为6类;其次,在原计划行为理论模型上增加行为经验新变量,并分别在每类情境下基于计划行为理论进行问卷设计;再次,对广州在校大学生进行问卷调查,总共回收有效问卷376份,有效率为91.75％.对调查数据进行可靠性分析和验证性因素分析,结果表明,数据具有良好的信度和效度,各项目的内部一致性良好且可靠性高.最后,基于计划行为理论建立结构方程模型(SEM),对6类情境行人过街行为进行分析,得到大学生闯红灯行为的6个结构路径图.结果表明,大学生对闯红灯的态度和新增加的行为经验与行为意向没有显著相关性,而主观规范和知觉行为控制则与行为意向显著相关,且知觉行为控制是个强大的预测因子,能预测行为意向,还可以直接作用于实际行为.
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