College of Transportation Engineering, Chang'an University, Shaanxi, China.
Int J Inj Contr Saf Promot. 2023 Dec;30(4):484-492. doi: 10.1080/17457300.2023.2214887. Epub 2023 May 24.
Despite statistics indicating that China has the world's largest taxi industry, there exists limited research about the relationship between workplace health hazards and taxi driver occupational crashes. In this paper, a cross-sectional survey of taxi drivers in four typical Chinese cities was conducted, and data on their self-reported job stress, health status, and daily risky driving behaviours, together with crash involvement experience in the two years before the survey was collected. Three hypotheses were then developed, and they were verified multivariate analysis of variance (MANOVA) that the seriousness of drivers' health problems and the frequency of their daily risky driving behaviours could be the accurate predictor of their crash risk of taxi drivers. These factors were subsequently substituted in a bivariate negative binomial (BNB) distribution model to determine the joint rate of at-fault taxi drivers' involvement in property-damage-only (PDO) and personal-injury (PI) crashes. The results offer some useful advice for policy development to decrease and prevent professional taxi drivers from causing severe traffic crashes.
尽管统计数据显示中国拥有全球最大的出租车行业，但对于工作场所健康危害与出租车司机职业事故之间的关系，相关研究却十分有限。本文对中国四个典型城市的出租车司机进行了横断面调查，收集了他们报告的工作压力、健康状况以及日常危险驾驶行为的数据，以及调查前两年的事故卷入经历。然后提出了三个假设，并通过多变量方差分析（MANOVA）验证了假设，即司机健康问题的严重程度和日常危险驾驶行为的频率可以准确预测出租车司机的事故风险。这些因素随后被代入双变量负二项（BNB）分布模型，以确定有责出租车司机卷入仅财产损失（PDO）和人身伤害（PI）事故的联合率。研究结果为制定政策提供了一些有益的建议，以减少和预防职业出租车司机造成严重交通事故。
