Faculty of Chemical and Energy Engineering, Universiti Teknologi, Malaysia; Nigerian Institute of Transport Technology Zaria, Nigeria.
Faculty of Civil Engineering, Universiti Teknologi, Malaysia.
Accid Anal Prev. 2024 Dec;208:107788. doi: 10.1016/j.aap.2024.107788. Epub 2024 Sep 13.
Taxis are essential to economic growth due to the ease and comfort they offer passengers. This is evident as most cities, especially in Africa, are dominated by taxis providing door-to-door services. However, their susceptibility to road traffic accidents (RTA) raises serious concerns due to their risky driving behaviours. In contrast, studies on taxi driver involvement in RTA due to their risky driving behaviours are sparse, especially in African countries. Consequently, the study examined the relationship between risky driving behaviour and traffic accident involvement among Nigerian commercial taxi drivers using the structural equation modeling (SEM) approach. Prior to the structural model analysis, the modified driver behaviour questionnaire (DBQ) was valid. This was assessed through the measurement model, and the results showed that the composite reliability, average variance extracted, and discriminant validity were greater than 0.7, greater than 0.5, and less than 0.90, respectively. Furthermore, the structural equation modeling results show that the driving violation and driving error constructs influenced road traffic accidents among taxi drivers, while inattention error was insignificant (p > 0.05). Although driving violations and errors significantly increase the chances of RTA among taxi drivers, driving violations had a more substantial influence than driving errors. Also, the regression coefficient indicates the risky driving behaviour of commercial taxi drivers accounts for 5.2 % of the RTAs in Nigeria. This research contributed to validating the DBQ for commercial taxi drivers in Nigeria, examining the influence of their driving violations, driving errors, and inattention errors on accident involvement and that inattention error may not necessarily influence accidents, which will aid policymakers in formulating mitigative strategies for RTA reductions. Moreso, it will guide driver trainers in curriculum development for specific commercial taxi driver training.
出租车为乘客提供了便利和舒适，对经济增长至关重要。这一点显而易见，因为大多数城市，尤其是非洲的城市，都以提供门到门服务的出租车为主。然而，由于其危险的驾驶行为，它们容易发生道路交通事故（RTA），这引起了严重的关注。相比之下，由于危险的驾驶行为，关于出租车司机参与 RTA 的研究很少，尤其是在非洲国家。因此，本研究使用结构方程建模（SEM）方法，研究了尼日利亚商业出租车司机危险驾驶行为与交通事故参与之间的关系。在进行结构模型分析之前，对修正后的驾驶员行为问卷（DBQ）进行了有效性验证。这是通过测量模型进行评估的，结果表明，组合可靠性、平均方差提取和判别有效性均大于 0.7、大于 0.5 和小于 0.90。此外，结构方程模型的结果表明，驾驶违规和驾驶错误构念会影响出租车司机的道路交通事故，而注意力不集中错误则不显著（p>0.05）。尽管驾驶违规和错误显著增加了出租车司机发生 RTA 的可能性，但驾驶违规的影响比驾驶错误更大。此外，回归系数表明，商业出租车司机的危险驾驶行为占尼日利亚 RTA 的 5.2%。本研究为尼日利亚商业出租车司机的 DBQ 提供了验证，检验了他们的驾驶违规、驾驶错误和注意力不集中错误对事故参与的影响，以及注意力不集中错误不一定会影响事故，这将有助于政策制定者制定减少 RTA 的缓解策略。此外，它将为驾驶员培训师在特定商业出租车司机培训课程的开发中提供指导。
