HighlightsA mediated personality-driving behaviors-accident association model was examined.Personality traits had direct effects on risky driving behaviors.Risky driving behaviors mediated the effects of personality traits on accident risk.Driving experience and risky driving behaviors directly predicted accident risk.There was little gender difference except females with more driving lapses.

    AbstractThe purpose of this study was to explore the role of personality traits and driving experience in the prediction of risky driving behaviors and accident risk among Chinese population. A convenience sample of drivers (n=511; mean (SD) age=34.2 (8.8) years) completed a self-report questionnaire that was designed based on validated scales for measuring personality traits, risky driving behaviors and self-reported accident risk. Results from structural equation modeling analysis demonstrated that the data fit well with our theoretical model. While showing no direct effects on accident risk, personality traits had direct effects on risky driving behaviors, and yielded indirect effects on accident risk mediated by risky driving behaviors. Both driving experience and risky driving behaviors directly predicted accident risk and accounted for 15% of its variance. There was little gender difference in personality traits, risky driving behaviors and accident risk. The findings emphasized the importance of personality traits and driving experience in the understanding of risky driving behaviors and accident risk among Chinese drivers and provided new insight into the design of evidence-based driving education and accident prevention interventions.


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    Title :

    The role of personality traits and driving experience in self-reported risky driving behaviors and accident risk among Chinese drivers


    Contributors:
    Tao, Da (author) / Zhang, Rui (author) / Qu, Xingda (author)

    Published in:

    Publication date :

    2016-12-08


    Size :

    8 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English