Literature DB >> 26433568

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

Hongmei Zhou1, Stephanie Ballon Romero2, Xiao Qin3.   

Abstract

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.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

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

Mesh:

Year:  2015        PMID: 26433568     DOI: 10.1016/j.aap.2015.09.009

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  6 in total

1.  Measurement properties of self-report pedestrians' road crossing behavior questionnaires constructed based on the theory of planned behavior: protocol for a systematic review.

Authors:  Mahdi Moshki; Abdoljavad Khajavi; Fatemeh Sadeghi-Ghyassi; Homayoun Sadeghi-Bazargani; Saeid Pour-Doulati
Journal:  Syst Rev       Date:  2019-08-03

2.  Developing Pedestrians' Red-light Violation Behavior Questionnaire (PRVBQ); Assessment of Content Validity and Reliability.

Authors:  Mahdi Moshki; Abdoljavad Khajavi; Homayoun Sadeghi-Bazargani; Shahram Vahedi; Saeid Pour-Doulati
Journal:  Bull Emerg Trauma       Date:  2020-04

3.  What factors predict drivers' self-reported lane change violation behavior at urban intersections? A study in China.

Authors:  Xiaoxiao Wang; Liangjie Xu; Yanping Hao
Journal:  PLoS One       Date:  2019-05-15       Impact factor: 3.240

4.  An Application of the Theory of Planned Behavior to Predict the Intention and Practice of Nursing Staff Toward Physical Restraint Use in Long-Term Care Facilities: Structural Equation Modeling.

Authors:  Jun Wang; Weichu Liu; Qinghua Zhao; Mingzhao Xiao; Daomei Peng
Journal:  Psychol Res Behav Manag       Date:  2021-03-02

5.  Identifying and Evaluating the Essential Factors Affecting the Incidence of Site Accidents Caused by Human Errors in Industrial Parks Construction Projects.

Authors:  Adel Rafieyan; Hadi Sarvari; Daniel W M Chan
Journal:  Int J Environ Res Public Health       Date:  2022-08-17       Impact factor: 4.614

6.  Still careless: findings from a cross-sectional study of young pedestrians' risky road crossing behaviors.

Authors:  Mina Hashemiparast; Manoj Sharma; Mohammad Asghari Jafarabadi; Zahra Hosseini
Journal:  Arch Public Health       Date:  2020-05-18
  6 in total

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