Analysis of Factors Affecting The Traffic Safety Level of Taxi Company: Focused on Driver’s Work and Welfare Environments

Eunsol Cho, ParkJIwon, L. Young, Oh, Cheol, Choe, Byongho
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Abstract

Unlike existing studies dealing with factors affecting crash occurrences, this study attempted to analyze underlying factors related to driver’s human factors. In general, it is known that human factors leading to the crash occurrence include drowsiness, aggressiveness, and inattention etc. This study mainly focused on underlying factors resulting in such human factors that have been widely addressed to date in the area of traffic safety. Crash investigation systems focus on the road geometry, road environment factor and the driver’s risk driving behavior, human factor. However, less efforts have been made in collecting data related to internal factors of crashes that affect driving behavior. For example, the internal factors include taxi driver’s health characteristics, living conditions and taxi company’s working environment. The purpose of this study is to derive the factors of taxi company’s safety level and to propose a new direction for taxi safety consulting. In-depth interviews with commercial taxi drivers and managers of taxi companies were conducted to collect survey data to represent internal factors associated with driver’s working and welfare environments. In addition to a multiple linear regression, a binomial logistic regression and a random forest analysis technique were adopted to derive underlying internal factors to be used to identify the level of traffic safety taxi companies. The results show that the identified contributing factors include weekly working hours, accident-involved vehicle management, privately-used hour, narrow space inside the vehicle, fatigue management, and the level of life satisfaction. The countermeasures for enhancing taxi safety were discussed in terms of improving working environment and welfare of taxi drivers.
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出租车公司交通安全水平影响因素分析——以司机工作和福利环境为中心
与现有研究处理影响碰撞发生的因素不同,本研究试图分析与驾驶员人为因素相关的潜在因素。一般来说,众所周知,导致事故发生的人为因素包括嗜睡、攻击性、注意力不集中等。本研究主要集中在导致这些人为因素的潜在因素,这些人为因素在交通安全领域已经得到了广泛的研究。碰撞调查系统主要关注道路几何形状、道路环境因素和驾驶员的危险驾驶行为、人为因素。然而,在收集与影响驾驶行为的碰撞内部因素相关的数据方面所做的努力较少。内部因素包括出租车司机的健康特征、生活条件、出租车公司的工作环境等。本研究的目的是推导出影响出租车公司安全水平的因素,并提出出租车安全咨询的新方向。对商业出租车司机和出租车公司管理人员进行深度访谈,收集调查数据,以表示与司机工作和福利环境相关的内部因素。除了多元线性回归之外,还采用二项逻辑回归和随机森林分析技术来获得潜在的内部因素,用于识别出租车公司的交通安全水平。结果表明,每周工作时间、事故车辆管理、私人使用时间、车内狭窄空间、疲劳管理和生活满意度是影响交通安全的主要因素。从改善出租车司机的工作环境和福利等方面探讨了提高出租车安全的对策。
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