Validating an older adult driving behaviour model with structural equation modelling and confirmatory factor analysis |
| |
| Affiliation: | 1. Centre for Accident Research and Road Safety-Queensland (CARRS-Q), Queensland University of Technology (QUT), Australia;2. School of Psychology and Counselling & Institute for Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT), Australia;3. Recover Injury Research Centre, The University of Queensland, Australia;1. School of Automobile and Traffic Engineering, Hefei University of Technology, Hefei 230009, Anhui, PR China;2. School of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, Anhui, PR China;3. Traffic Management Research Institute of the Ministry of Public Security, Wuxi 214151, Jiangsu, PR China;1. Empirica, Nybygget, Knypplan 111, S-74894 Örbyhus, Sweden;2. Centre for Accident Research and Road Safety, Queensland University of Technology, Australia;1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;2. China Academy of Civil Aviation Science and Technology, Beijing 100028, China;3. Department of Civil and Environmental Engineering, University of Maryland, College Park, MD 20742, USA;1. School of Science, RMIT University, Australia;2. School of Earth and Planetary Sciences, Curtin University, Australia;3. Institute of Architectural Design, Shanghai University, China;4. School of Psychology and Speech Pathology, Curtin University, Australia;5. School of Occupational Therapy and Social Work, Curtin University, Australia |
| |
| Abstract: | The Multilevel Older Persons Transportation and Road Safety (MOTRS) model postulates a role for demographic, functional, and psychosocial factors in driving self-regulation. This study formally tested the constructs of the MOTRS model, and its ability to account for variation in older adult’s driving self-regulation. Four exogenous constructs dealing with sociodemographic and driving-related variables (driving space, dependency on other drivers, health, and driving performance) and three endogenous constructs of psychosocial appraisals (driving confidence, attitudes and beliefs towards driving) were used to predict driving self-regulation. A sample of 277 Australian drivers, aged 65 years or over, completed standardised questionnaires to assess these variables. Structural equation modelling was used to evaluate one of the model’s assumptions. Findings established that sociodemographic and driving-related factors influence older adults’ driving self-regulation by impacting psychosocial variables. A re-specified model accounted for 75% of the variance in self-reported driving self-regulation. When other variables were considered, attitude towards driving was the strongest single predictor of driving self-regulation. These findings provide an initial partial validation of the MOTRS model. The results indicate that psychosocial variables are important determinants of driving self-regulation by older adults. This model could guide future research into older adults’ driving self-regulation. |
| |
| Keywords: | Driving Older drivers Driving self-regulation Mobility Safety |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
