Department of Smart City Engineering, Hanyang University at Ansan, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan-city, Gyeonggi-do 15588, Republic of Korea.
Department of Smart City Research, Seoul Institute of Technology Principal Researcher, 8F, Maebongsan-ro 37, Mapo-gu, Seoul, 03909, Republic of Korea.
J Safety Res. 2021 Feb;76:238-247. doi: 10.1016/j.jsr.2020.12.017. Epub 2021 Jan 7.
Traffic safety issues associated with taxis are important because the frequency of taxi crashes is significantly higher than that of other vehicle types. The purpose of this study is to derive safety implications to be used for developing policies to enhance taxi safety based on analyzing intrinsic characteristics underlying the cause of traffic accidents.
An in-depth questionnaire survey was conducted to collect a set of useful data representing the intrinsic characteristics. A total of 781 corporate taxi drivers participated in the survey in Korea. The proposed analysis methodology consists of two-stage data mining techniques, including a random forest method, with data that represents the working condition and welfare environment of taxi drivers. In the first stage, the drivers' intrinsic characteristics were derived to classify four types of taxi drivers: unspecified normal, work-life balanced, overstressed, and work-oriented. Next, priority was determined for classifying high-risk taxi drivers based on factors derived from the first analysis.
The derived policies can be categorized into three groups: 'the development of new policies,' 'the improvement of existing policies,' and 'the elimination of negative factors.' Establishing a driving capability evaluation system for elderly drivers, developing mental health management programs for taxi drivers, and inspecting the taxi's internal conditions were proposed as new policies. Improving the driver's wage system, supporting the improvement of rest facilities, and supporting the installation of security devices for protecting taxi drivers are methods for improving existing policies to reinforce the traffic safety of taxi drivers. Last, restricting overtime work for taxi drivers was proposed as a policy to eliminate negative factors for improving taxi traffic safety. Practical Applications: It is expected that by devising effective policies using the policy implications suggested in this study, taxi traffic accidents can be prevented and the quality of life of taxi drivers can be improved.
与出租车相关的交通安全问题很重要，因为出租车事故的频率明显高于其他车型。本研究旨在分析导致交通事故的内在特征，得出安全影响，为制定提高出租车安全的政策提供依据。
本研究通过深入的问卷调查收集了一组代表内在特征的有用数据。在韩国，共有 781 名公司出租车司机参与了这项调查。所提出的分析方法包括两个阶段的数据挖掘技术，包括随机森林方法，以及代表出租车司机工作条件和福利环境的数据。在第一阶段，从司机的内在特征出发，将出租车司机分为四类：未指定正常、工作生活平衡、过度紧张和以工作为导向。接下来，根据第一分析中得出的因素，确定对高危出租车司机进行分类的优先级。
所提出的政策可分为三组：“制定新政策”、“改进现有政策”和“消除负面因素”。提出了为老年司机建立驾驶能力评估系统、为出租车司机制定心理健康管理计划以及检查出租车内部状况等新政策。改善司机的工资制度、支持改善休息设施以及支持为保护出租车司机安装安全设备是改进现有政策以加强出租车司机交通安全的方法。最后，限制出租车司机加班被提议作为改善出租车交通安全的消除负面因素的政策。
通过制定本研究提出的政策建议中的有效政策，可以预防出租车交通事故，提高出租车司机的生活质量。
