华南理工大学学报(自然科学版) ›› 2018, Vol. 46 ›› Issue (9): 73-81.doi: 10.3969/j.issn.1000565X.2018.09.011

• 交通运输工程 • 上一篇    下一篇

基于计划行为理论的大学生闯红灯行为决策模型

马莹莹1,陆思园2   

  1. 1. 华南理工大学土木与交通学院
    2. 华南理工大学
  • 收稿日期:2017-11-30 修回日期:2018-04-30 出版日期:2018-09-25 发布日期:2018-08-01
  • 通信作者: 马莹莹( 1983-) ,女,副教授,主要从事城市交通系统分析研究 E-mail:mayingying@scut.edu.cn
  • 作者简介:马莹莹( 1983-) ,女,副教授,主要从事城市交通系统分析研究
  • 基金资助:
    广东省教育厅特色创新类项目( 2017KTSCX005) 

A Decision Making Model of College Students' Red Light Behavior Based On The Theory Of Planned Behavior

 MA Yingying LU Siyuan   

  1. School of Civil Engineering and Transportation,South China University of Technology
  • Received:2017-11-30 Revised:2018-04-30 Online:2018-09-25 Published:2018-08-01
  • Contact: 马莹莹( 1983-) ,女,副教授,主要从事城市交通系统分析研究 E-mail:mayingying@scut.edu.cn
  • About author:马莹莹( 1983-) ,女,副教授,主要从事城市交通系统分析研究
  • Supported by:
    The Special Innovation Project of Educational Commission of Guangdong Province of China ( 2017KTSCX005) 

摘要: 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六类;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),对六类情境行人过街行为进行分析,得到大学生闯红灯行为的六个结构路径图。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。

关键词: 交通安全, 大学生过街, 闯红灯, 计划行为理论, 结构方程模型

Abstract: This paper proposed a decision-making model of college students running on red signal using the theory of planned behavior considering the characteristics of urban road traffic environment in China. Firstly, six scenarios of road crossing are proposed according to traffic flow, road width and central safety island. Secondly, questionnaire on each scenario was designed according to the theory of planned behavior and the behavioral experience variable. More than 400 college students in Guangzhou were involved in the survey, and valid samples are 397, with an effective rate of 91.75%. The data tests show that the survey data has a good performance on reliability, validity and internal consistence. Finally, structural equation modeling (SEM) is used to analyze college students crossing behavior in six scenarios, and six structural path diagrams are obtained. The results show that the attitudes towards crossing on red signals and the new behavioral experience have no significant correlation to behavioral intention, however, subjective norms and perceived behavioral control are significantly related to behavioral intention. The perceptual behavior control is a powerful predictor of behavioral intention, which can not only predict behavioral intention, but also act directly on actual behavior.

Key words: traffic safety, college students crossing, crossing the red lights, theory of planned behavior, structural equation model

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