Driver fatigue in taxi, ride-hailing, and ridesharing services: a systematic review

IF 9.5 1区 工程技术 Q1 TRANSPORTATION
Saeed Jaydarifard , Krishna Behara , Douglas Baker , Alexander Paz
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引用次数: 0

Abstract

Driver fatigue is a major cause of road crashes. However, there is limited knowledge regarding the potential consequences of driver fatigue in taxi (conventional and app-based), ride-hailing, and ridesharing services. Driver fatigue is likely to be significantly exacerbated in this population due to the multi-task characteristics of their jobs; thus, conducting a comprehensive study on driver fatigue in these transportation sectors is of utmost importance. This systematic review summarises the current state of knowledge about the causes and consequences of driver fatigue. We also suggested some potential control mechanisms for driver fatigue in taxi and ride-hailing services along a fatigue risk trajectory. We included studies published prior to September 2022 in three databases (Web of Science, Scopus, and PubMed) using a predefined search strategy. Eligible studies were critically appraised using the Joanna Briggs Institute (JBI) critical appraisal checklists. A total of 18 studies met our eligibility criteria as scoped from the 414 initially identified studies. Eight contributing factors to driver fatigue were revealed including long working hours, short rest breaks, limited driving experience, job demand, poor sleep, algorithmic management, traffic congestion, and additional workload. Furthermore, our review identified risk factors for driver fatigue in taxi and ride-hailing services, including road safety, work pressure and driver’s health, optimism bias, job precariousness, and lack of additional benefits. Findings to date suggest that driver fatigue in taxi and ride-hailing industries is as serious as, or more serious than, in other transportation sectors. Understanding the working conditions of these drivers is critical to establish effective policies and practices for reducing crash-related driver fatigue.

出租车、打车和共享出行服务中的司机疲劳:系统性综述
驾驶员疲劳是造成道路交通事故的主要原因。然而,人们对出租车(传统出租车和基于应用程序的出租车)、叫车服务和共享出行服务中驾驶员疲劳驾驶的潜在后果了解有限。由于驾驶员的工作具有多重任务的特点,他们的疲劳驾驶可能会大大加剧;因此,对这些运输行业的驾驶员疲劳进行全面研究至关重要。本系统综述总结了当前有关驾驶员疲劳的原因和后果的知识。我们还沿着疲劳风险轨迹,提出了出租车和打车服务中驾驶员疲劳的一些潜在控制机制。我们采用预先确定的检索策略,在三个数据库(Web of Science、Scopus 和 PubMed)中纳入了 2022 年 9 月之前发表的研究。我们使用乔安娜-布里格斯研究所(JBI)的批判性评估清单对符合条件的研究进行了批判性评估。在最初确定的 414 项研究中,共有 18 项研究符合我们的资格标准。研究发现了导致驾驶员疲劳的八个因素,包括工作时间长、休息时间短、驾驶经验有限、工作需求、睡眠不足、算法管理、交通拥堵和额外的工作量。此外,我们的研究还发现了导致出租车和叫车服务司机疲劳的风险因素,包括道路安全、工作压力和司机健康、乐观偏见、工作不稳定和缺乏额外福利。迄今为止的研究结果表明,出租车和叫车服务行业司机疲劳驾驶的严重程度不亚于其他交通行业,甚至比其他行业更为严重。了解这些司机的工作条件对于制定有效的政策和措施以减少与事故相关的司机疲劳驾驶至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Transport Reviews
Transport Reviews TRANSPORTATION-
CiteScore
17.70
自引率
1.00%
发文量
32
期刊介绍: Transport Reviews is an international journal that comprehensively covers all aspects of transportation. It offers authoritative and current research-based reviews on transportation-related topics, catering to a knowledgeable audience while also being accessible to a wide readership. Encouraging submissions from diverse disciplinary perspectives such as economics and engineering, as well as various subject areas like social issues and the environment, Transport Reviews welcomes contributions employing different methodological approaches, including modeling, qualitative methods, or mixed-methods. The reviews typically introduce new methodologies, analyses, innovative viewpoints, and original data, although they are not limited to research-based content.
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