Abstract

The four main influencing parameters affecting traffic flows are human, environments, vehicles, and roads, and the human is the most influential parameter in this case. This study is a thorough investigation on the use of psychology in traffic safety to find the effects that personality traits have on the number of accidents and the frequency of fines. A questionnaire was distributed among 200 university students who had active driver’s license. The questionnaire consisted of three sections: personal information, questions related to the subject under review, and the Neo test. In this study, a confirmatory factor analysis method was used based on structural equations and then carried out using the maximum likelihood or likelihood estimation (ML) method. Then, the hypotheses were considered and tested by the AMOS software. These analyses are individually categorized into three categories of hazardous behaviors: aggressive, disagreeable, and lack of attention to health. The non-separation of high-risk behaviors is also considered. Finally, the results show that personality traits have a meaningful relationship with the number of fines and the number of accidents, as well as the tendency to show aggressive behaviors, disagreement, and lack of attention to personal health. According to the results, eating and drinking while driving have the greatest impact among other high-risk behaviors.

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