Journal of South China University of Technology(Natural Science Edition) ›› 2022, Vol. 50 ›› Issue (3): 28-37.doi: 10.12141/j.issn.1000-565X.210335

Special Issue: 2022年交通运输工程

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Research on Self-Regulation Behavior of Elderly Drivers Based on Extended TPB Model

ZHAO Xiaohua1 ZHU Hongzhen1 BIAN Yang1 CHEN Bingshuo1 LI Yang2 DING Zhen3   

  1. 1.College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China; 
    2. Beijing Police College, Beijing 102202, China;  3. Beijing Traffic Management Bureau, Beijing 100037, China
  • Received:2021-05-24 Revised:2021-10-08 Online:2022-03-25 Published:2022-03-01
  • Contact: 边扬（1980-），女，博士，副教授，主要从事交通规划、交通行为研究。 E-mail:bianyang@bjut.edu.cn
  • About author:赵晓华（1971-），女，博士，教授，主要从事驾驶行为及智能交通研究。E-mail：zhaoxiaohua@bjut.edu.cn
  • Supported by:
    Supported by the National Natural Science Foundation of China（52072012），Beijing Municipal Education Commission Science and Technology Plan General Project (KM202014019001)

PDF

334

Abstract: With the increasing number of elderly drivers and their growing driving demand, China has abolished the age limit for applying for small car drivers license,and the travel safety of elderly drivers has become a hot research issue. Due to the biological and psychological decline related to driving behavior with aging, the elderly need to consider the impact of decreased physical function while maintaining mobility through self-regulation. Self-regulation is an effective compensation strategy for the elderly to prolong driving life and reduce driving risk. Based on the theory of planned behavior(TPB), this study introduced four extended variables, including physical condition, risk perception, driving skills and alternative traffic quality, to establish an extended TPB model and analyzed elderly drivers self-regulation behavior and its influencing factors. Cronbach's α coefficient and confirmatory factor were used to verify the reliability and validity of the self-regulation behavior questionnaires collected from 849 elderly drivers, and path analysis was used to explore the factors influencing elderly drivers self-regulation behavior. The results show that the relationship among basic TPB variables is consistent with the assumptions of the basic model. Physical condition, alternative traffic quality, driving ability and risk perception all indirectly affect the self-regulation behavior of the elderly. The results are helpful to understand elderly drivers self-regulation behavior and influencing factors, and provide the theoretical basis for further research on elderly drivers driving behavior training and safety education. 

Key words: traffic safety, elderly driver, self-regulation, path analysis, theory of planned behavior

CLC Number: