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    周红媚

    • 副教授       硕士生导师
    • 性别:女
    • 毕业院校:康涅狄格大学
    • 学位:博士
    • 所在单位:交通运输系
    • 学科:交通运输规划与管理. 交通信息工程及控制
    • 电子邮箱:hzhou@dlut.edu.cn

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    An extension of the theory of planned behavior to predict pedestrians' violating crossing behavior using structural equation modeling

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    论文类型:期刊论文

    发表时间:2016-10-01

    发表刊物:ACCIDENT ANALYSIS AND PREVENTION

    收录刊物:EI、PubMed、SSCI、Scopus

    卷号:95

    期号:,SI

    页面范围:417-424

    ISSN号:0001-4575

    关键字:Pedestrian; Violating road-crossing behavior; Theory of planned behavior; Traffic safety

    摘要:This paper aimed to examine pedestrians' self-reported violating crossing behavior intentions by applying the theory of planned behavior (TPB). We studied the behavior intentions regarding instrumental attitude, subjective norm, perceived behavioral control, the three basic components of TPB, and extended the theory by adding new factors including descriptive norm, perceived risk and conformity tendency to evaluate their respective impacts on pedestrians' behavior intentions. A questionnaire presented with a scenario that pedestrians crossed the road violating the pedestrian lights at an intersection was designed, and the survey was conducted in Dalian, China. Based on the 260 complete and valid responses, reliability and validity of the data for each question was evaluated. The data were then analyzed by using the structural equation modeling (SEM). The results showed that people had a negative attitude toward the behavior of violating road-crossing rules; they perceived social influences from their family and friends; and they believed that this kind of risky behavior would potentially harm them in a traffic accident. The results also showed that instrumental attitude and subjective norm were significant in the basic TPB model. After adding descriptive norm, subjective norm was no more significant. Other models showed that conformity tendency was a strong predictor, indicating that the presence of other pedestrians would influence behavioral intention. The findings could help,to design more effective interventions and safety campaigns, such as changing people's attitude toward this violation behavior, correcting the social-norms, increasing their safety awareness, etc. in order to reduce pedestrians' road crossing violations. (C) 2015 Elsevier Ltd. All rights reserved.