College of Engineering, Qatar Transportation and Traffic Safety Center, Qatar University, Doha, Qatar.
Psychology Program, Social Sciences Department, College of Arts and Science, Qatar University, Doha, Qatar.
Traffic Inj Prev. 2023;24(5):393-401. doi: 10.1080/15389588.2023.2199898. Epub 2023 Apr 14.
Taxis have become an integrated component of Qatar's urban transportation network due to their convenience, comfort, and flexibility. Qatar has seen an uptick in the demand for professional taxi drivers. Most Qatari taxi drivers come from developing countries with poor awareness of road safety; therefore, they regularly engage in aberrant driving behavior, leading to traffic violations and crashes. For taxi rides to be safer, it is essential to determine the association between driving aberration and road traffic crashes (RTCs), with an emphasis on the underlying factors that trigger these behaviors.
To this end, we collected the data from taxi drivers relying on standard questionnaires, namely the Driving Anger Scale (DAS) and the Driver Behavior Questionnaire (DBQ), together with the real crash data of the same taxi drivers obtained from the police department. We relied on factor analysis to identify the main factors of these tools and then structural equation modeling to predict their causal relationship with RTCs.
The results indicated that the component of DAS, namely "illegal driving", triggered all dimensions of aberrant driving behaviors, whereas hostile gestures had a positive correlation with lapses. In addition, the factor "error" was identified as a significant direct predictor, while the factor "illegal driving" was identified as a significant indirect predictor for RTCs. Regarding demographic characteristics, professional driving experience was found to be negatively associated with RTCs.
Driving aberration mediated the impact of driving anger on RTCs. The findings from this study could help road safety practitioners and researchers better understand these relations. In addition, these results could also be very helpful for driving instructors to train taxi drivers in a way to cope with provoking situations.
出租车因其便利性、舒适性和灵活性,已成为卡塔尔城市交通网络的一个组成部分。卡塔尔对专业出租车司机的需求有所增加。大多数卡塔尔出租车司机来自道路安全意识薄弱的发展中国家;因此,他们经常表现出异常的驾驶行为,导致违反交通规则和发生事故。为了使出租车更安全,必须确定驾驶偏差与道路交通碰撞(RTC)之间的关联,重点是引发这些行为的潜在因素。
为此,我们收集了出租车司机的数据,这些数据来自标准问卷,即驾驶愤怒量表(DAS)和驾驶员行为问卷(DBQ),以及从警察局获得的同一出租车司机的真实碰撞数据。我们依靠因子分析来识别这些工具的主要因素,然后使用结构方程模型来预测它们与 RTC 之间的因果关系。
结果表明,DAS 的组成部分“非法驾驶”引发了所有异常驾驶行为的维度,而敌对手势与失误呈正相关。此外,“错误”因子被确定为一个重要的直接预测因子,而“非法驾驶”因子被确定为 RTCs 的一个重要间接预测因子。关于人口统计学特征,专业驾驶经验与 RTCs 呈负相关。
驾驶偏差中介了驾驶愤怒对 RTCs 的影响。本研究的结果可以帮助道路安全从业者和研究人员更好地理解这些关系。此外,这些结果对于驾驶教练培训出租车司机应对挑衅情况也非常有帮助。