A Study of Driver Personality Traits as Predictors of Fatigue Driving Behavior - a Perspective Based on the Temporal Self-Regulation Theory

Abstract

Fatigue driving is one of the main causes of road traffic accidents around the world. Although each country has enacted relevant policies and regulations to prevent the emergence of driver fatigue driving behavior, the effect is not significant. In order to explore the decision-making factors of fatigue driving behavior from the perspective of social psychology, this study used the temporal self-regulation theory (TST), extended with personality traits, to explore the influencing factors of fatigue driving in Chinese drivers. The study also examined the correlation between drivers' personality traits and psychological factors. Through an online survey, 165 valid questionnaires were collected to measure five standardized TST variables, four selected personality traits, and demographic characteristics of drivers. Hierarchical multiple regression equation modeling was used to analyze the survey data. The results showed that TST significantly predicted fatigue driving behavior (R2 = 0.498, F(17, 147) = 8.576, p < 0.001). Personality traits did not explain significant differences. Environmental factors and self-control were significant predictors, while habit and personality did not predict behavior. No interaction effect was found in the intention-behavior relationship. These results provide theoretical and practical support for the management and intervention of driver fatigue driving behavior prevention.

Keywords: fatigue driving, The temporal self-regulation theory, Intention, Personality Traits, Hierarchical regression analysis