Highlights The Chinese version of the Driver Stress Inventory is highly reliable and has a stable structure. Criterion validity measures demonstrate that the Chinese Driver Stress Inventory is valid. Driver stress was strongly correlated with dangerous driving behavior. Female drivers had higher scores for disliking driving and fatigue proneness and lower hazard monitoring scores compared with male drivers.

    Abstract Perceived stress while driving may affect how critical driving events are handled. The current study validates a Chinese version of the Driver Stress Inventory (DSI) and explores its correlation with dangerous driving behaviors and gender. A sample of 246 drivers completed the Chinese version of the DSI and the Driver Behavior Questionnaire (DBQ). We also evaluated specific sociodemographic variables and traffic violations (including speeding, violating traffic signs or markings, driving while intoxicated, running a red light, and incurring penalty points). A confirmatory factor analysis (CFA) verified the DSI's internal structure. The DSI was also validated using questionnaires related to the DBQ, self-reported traffic accidents and violations, and sociodemographic characteristics. First, all of the DSI dimensions were moderately or weakly correlated with the DBQ subscales. Second, aggression, hazard monitoring and fatigue were weakly correlated with minor accidents. Third, drivers who had sped and violated traffic signs during the previous three years reported higher aggression and thrill seeking, while drivers who had violated traffic signs or markings during the previous three years reported decreased hazard monitoring compared with non-offenders. Finally, there were significant gender differences in driver stress. The Chinese version of the DSI will be useful for classifying and diagnosing drivers who may be at an increased risk for stress reactions.


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    Title :

    Validation of the Driver Stress Inventory in China: Relationship with dangerous driving behaviors


    Contributors:
    Qu, Weina (author) / Zhang, Qian (author) / Zhao, Wenguo (author) / Zhang, Kan (author) / Ge, Yan (author)

    Published in:

    Publication date :

    2015-11-17


    Size :

    9 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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