Why do older drivers self-regulate: Psychological factors influencing self-regulation in a Chinese sample

Bingshuo Chen; Xiaohua Zhao; Zhen Ding; Yang Li; Meina Wan; Qing He; Xiaoming Liu

doi:10.1016/j.jsr.2021.12.008

Why do older drivers self-regulate: Psychological factors influencing self-regulation in a Chinese sample

J Safety Res. 2022 Feb:80:330-340. doi: 10.1016/j.jsr.2021.12.008. Epub 2021 Dec 23.

Authors

Bingshuo Chen¹, Xiaohua Zhao², Zhen Ding³, Yang Li⁴, Meina Wan⁵, Qing He⁶, Xiaoming Liu⁷

Affiliations

¹ Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, PR China. Electronic address: bingshuo2018@163.com.
² Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, PR China. Electronic address: zhaoxiaohua@bjut.edu.cn.
³ Beijing Traffic Management Bureau, PR China. Electronic address: dingzhen0303@163.com.
⁴ Department of Road Traffic Management, Beijing Police College, PR China. Electronic address: 102202yang_li009@163.com.
⁵ Department of Road Traffic Management, Beijing Police College, PR China. Electronic address: 102202meina.wan@163.com.
⁶ Department of Road Traffic Management, Beijing Police College, PR China. Electronic address: 102202heqing_1308@sina.com.
⁷ Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, PR China. Electronic address: liuxm@bjut.edu.cn.

PMID: 35249613
DOI: 10.1016/j.jsr.2021.12.008

Abstract

Introduction: As China has recently lifted the age limit for getting access to driving licenses, older drivers' safety issues have received wide attention. Driving self-regulation can be regarded as an adjustment strategy for older adults to reduce risks and extend driving lives. Studies abroad mainly stress the three levels and influencing factors of driving self-regulation. China has a long history with a unique cultural background and social reality and relevant research are still in the initial stage.

Method: This study applied the extended Theory of Planned Behavior (TPB) to explore the psychological factors that affected self-regulation of older drivers. 317 participants mainly from Beijing urban area completed the questionnaires including demographic information and extend TPB items.

Results: Bivariate correlation analysis showed that self-regulation was negatively correlated with the amount of driving experience (days per week and mileages per month) in a significant way. And so was the number of family-owned motor vehicles. Exploratory factor analysis indicated that the extended TPB questionnaire was reliable and effective for measuring self-regulation. The proposed Structural Equation Model (SEM) explained 73.673% of the variance in self-regulation intention. Attitude (0.50) had the strongest influence among all variables on intention. Subjective norms (0.28), perceived behavior control (0.27), and alternative traffic quality (0.20) significantly influenced intention. Intention (0.34) and physical condition (0.22) imposed significant effect on self-regulation behavior. Practical applications: Feasible suggestions were put forward that contribute to self-regulate reasonably. This study helps to better understand the nature of self-regulation behaviors and provides a theoretical basis for formulating scientific intervention measures. On the transportation side, people from all communities of society should care for and support older drivers.

Keywords: Driving self-regulation; Older drivers; Structural equation model; Theory of planned behavior.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Aged
Attitude
Automobile Driving* / psychology
Humans
Intention
Motor Vehicles
Self-Control*
Surveys and Questionnaires