Investigating work-related distraction’s impact on male taxi driver safety: A hazard-based duration model

IF 12.5 1区 工程技术 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
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Abstract

With the increasing use of phone-based ride-hailing apps, concerns have arisen regarding road safety and driver distraction. Despite the recognized safety risks of driver distraction, limited research has explored how distractions from various ride-hailing systems affect drivers in the taxi industry. To close this gap, the current research utilized a driving simulator experiment involving 51 male taxi drivers in two road environments (urban street and motorway) and three distracted driving conditions (no distraction, auditory distraction via radio dispatching system, and visual-manual distraction via mobile application). A car-following scenario with sudden brake events was incorporated into the experiments because this is a typical safety–critical situation where attention will determine the outcome. The collected performance indicators include brake reaction time, time headway, and car-following distance. The grouped random parameters Weibull accelerated failure time model was applied to model the duration data under different road conditions. The brake reaction time and time headway are dependent variables, while the car-following distance is a covariate in the models. The results indicate that although taxi drivers show longer brake reaction time when distracted by mobile app and radio system, this does not necessarily equate with greater risk or reduced safety since they compensate for the risk of rear-end crashes by maintaining a longer time headway. In general, taxi drivers’ brake reaction time and time headway are more profoundly affected by mobile apps when distracted in both urban and motorway scenarios. This highlights the elevated risks associated with such technologies. In addition, significant interaction effects revealed the observed heterogeneity, which suggests that drivers’ personal characteristics influence the relationship between distraction type and driving performance. This research provides valuable insights for designing safer ride-hailing operations and systems.

调查工作分心对男性出租车司机安全的影响:基于危险的持续时间模型
随着基于手机的叫车应用程序的使用日益增多,人们开始关注道路安全和司机分心问题。尽管驾驶员分心存在公认的安全风险,但对各种叫车系统的分心如何影响出租车行业驾驶员的研究却十分有限。为了填补这一空白,本研究使用了一个驾驶模拟器实验,让 51 名男性出租车司机在两种道路环境(城市街道和高速公路)和三种分心驾驶条件(无分心、通过无线电调度系统的听觉分心和通过移动应用程序的视觉-手动分心)下进行驾驶。实验中加入了突然刹车事件的跟车情景,因为这是一个典型的安全关键情景,注意力将决定结果。收集到的性能指标包括制动反应时间、行进时间和跟车距离。分组随机参数 Weibull 加速失效时间模型用于模拟不同道路条件下的持续时间数据。制动反应时间和行车时间是因变量,而跟车距离是协变量。结果表明,虽然出租车司机在使用手机应用程序和无线电系统分心时会表现出更长的制动反应时间,但这并不一定等同于更大的风险或更低的安全性,因为他们会通过保持更长的车头距离来补偿追尾事故的风险。总体而言,无论是在市区还是在高速公路上,出租车司机在分心时的制动反应时间和车头距离受移动应用程序的影响更大。这凸显了此类技术带来的更大风险。此外,显着的交互效应揭示了观察到的异质性,这表明驾驶员的个人特征会影响分心类型与驾驶表现之间的关系。这项研究为设计更安全的打车业务和系统提供了宝贵的见解。
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来源期刊
CiteScore
22.10
自引率
34.10%
发文量
35
审稿时长
24 days
期刊介绍: Analytic Methods in Accident Research is a journal that publishes articles related to the development and application of advanced statistical and econometric methods in studying vehicle crashes and other accidents. The journal aims to demonstrate how these innovative approaches can provide new insights into the factors influencing the occurrence and severity of accidents, thereby offering guidance for implementing appropriate preventive measures. While the journal primarily focuses on the analytic approach, it also accepts articles covering various aspects of transportation safety (such as road, pedestrian, air, rail, and water safety), construction safety, and other areas where human behavior, machine failures, or system failures lead to property damage or bodily harm.
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