Document Type : Original Article
Authors
1
MSc. in General Psychology, Ferdowsi University of Mashhad, Mashhad, Iran.
2
MSc. in Educational Psychology, Isfahan Branch, Payam-e- Noor University, Isfahan, Iran
3
PhD Student in Psychology, Department of Psychology, University of Isfahan, Isfahan, Iran
Abstract
Annually, vehicular collisions result in numerous fatalities and permanent injuries. This study aimed to assess the likelihood of vehicular accidents with respect to demographic and psychological factors, including gender, age, educational attainment, driving history, and self-perceived driving competence. Utilizing a correlational research design, 210 participants (74 females and 136 males) were randomly selected from those attending vehicle registration offices in Bojnourd. The Adelaide Driving Self-Efficacy Scale (ADSES) and a Demographic Indicator Questionnaire were employed for data collection. Logistic regression analysis indicated that gender (β=0.60), education (β= -0.49), driving experience (β=-0.29), and driving self-efficacy (β=-0.20) significantly predict accident occurrence. Controlling for other factors, the odds of accident involvement for female drivers are 4.95 times higher than for their male counterparts. Similarly, each increment in educational level reduces accident probability by a factor of 0.61, while a year of driving experience and an increase in self-efficacy reduce it by factors of 0.75 and 0.77, respectively. The findings underscore the influence of gender, education, driving history, and self-efficacy on accident probability estimation.
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