Zhang Tingru, Chan Alan H S, Zhang Wei
Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong.
Department of Industrial Engineering, Tsinghua University, China.
Accid Anal Prev. 2015 Aug;81:124-33. doi: 10.1016/j.aap.2015.05.005. Epub 2015 May 14.
The purpose of this study was to investigate the relationship between driving anger and aberrant driving behaviours. An internet-based questionnaire survey was administered to a sample of Chinese drivers, with driving anger measured by a 14-item short Driving Anger Scale (DAS) and the aberrant driving behaviours measured by a 23-item Driver Behaviour Questionnaire (DBQ). The results of Confirmatory Factor Analysis demonstrated that the three-factor model (hostile gesture, arrival-blocking and safety-blocking) of the DAS fitted the driving anger data well. The Exploratory Factor Analysis on DBQ data differentiated four types of aberrant driving, viz. emotional violation, error, deliberate violation and maintaining progress violation. For the anger-aberration relation, it was found that only "arrival-blocking" anger was a significant positive predictor for all four types of aberrant driving behaviours. The "safety-blocking" anger revealed a negative impact on deliberate violations, a finding different from previously established positive anger-aberration relation. These results suggest that drivers with different patterns of driving anger would show different behavioural tendencies and as a result intervention strategies may be differentially effective for drivers of different profiles.
本研究旨在探讨驾驶愤怒与异常驾驶行为之间的关系。对一组中国驾驶员样本进行了基于互联网的问卷调查,使用14项简短驾驶愤怒量表(DAS)测量驾驶愤怒,使用23项驾驶员行为问卷(DBQ)测量异常驾驶行为。验证性因素分析结果表明,DAS的三因素模型(敌意手势、阻碍到达和阻碍安全)与驾驶愤怒数据拟合良好。对DBQ数据的探索性因素分析区分了四种类型的异常驾驶,即情绪违规、失误、故意违规和持续违规。对于愤怒与异常行为的关系,发现只有“阻碍到达”愤怒是所有四种异常驾驶行为的显著正预测因子。“阻碍安全”愤怒对故意违规有负面影响,这一发现与先前确立的愤怒与异常行为的正相关关系不同。这些结果表明,具有不同驾驶愤怒模式的驾驶员会表现出不同的行为倾向,因此干预策略对不同特征的驾驶员可能会有不同的效果。