The study examines the relationship between personality traits and driving behavior among Indian drivers, validating the Prosocial and Aggressive Driving Inventory (PADI) in the Indian context. Data were collected from 400 licensed drivers including age, gender, income, education, riding frequency, riding exposure, driving behavior, altruism and propensity for aggression. The results confirm the reliability and validity of the Indian version of PADI. Hierarchical regression analysis reveals that altruism positively influences prosocial driving behavior, while propensity for aggression significantly predicts aggressive driving behaviors. Additionally, riding frequency negatively impacts prosocial behavior, whereas riding exposure and novice driving experience contribute to aggressive behavior. Socio-demographic factors such as gender, age, income, and education also play a role in shaping driving behaviors. These findings provide insights into driver psychology and offer valuable implications for traffic safety interventions, policy development, and behavioral training programs tailored to the Indian context.
Purpose. Road traffic accidents (RTA) still are a major problem that causes health problems or death. However, it is difficult to study RTA since relatively small amount of them happen. For this reason, researchers turn to near-miss traffic accidents as construct that can be related to RTAs. Though near-miss traffic accidents are included in research, evidence about reliability and validity of measurement instruments are still lacking. Due to that this study aim: - to examine near-miss traffic accidents scale psychometric characteristics. Method: This research involved two different age (young and middle-aged drivers and older drivers) drivers' groups. Young and middle-aged drivers' group consisted of 114 participants (50 males; age M = 27.08; SD = 9.66). Older drivers' group contained 260 drivers (144 males; M = 68.44; SD = 6.92). Participants had to complete Near-miss traffic accidents scale (Kurita et al., 2023; Makizaco et al., 2018), Driver Behavior questionnaire (DBQ) (Parker et al., 1995), questions about sociodemographic aspects and experience of real traffic accidents. Results: This research showed that Near-miss traffic accidents scale was reliable in both drivers' groups. Confirmatory factor analysis suggested that scale has one factor and can be used to make valid comparisons between both drivers' groups. Results from older drivers' group confirmed that scale correlates with DBQ's errors and lapses subscales which shows scale's construct validity. However, results about scale relationship with age, gender and real traffic accidents experience are different in both drivers' groups. Discussion: While some results in this study confirm Near-miss traffic accidents reliability and validity, other results do not allow to do reasonable conclusions about this instrument psychometric characteristics. It is crucial to continue investigating this scale in order to understand if results differences showing in this research are due to instrument flaws or methodological aspects of this study.
