网约摩托车出租车司机的体力和脑力工作量测量:实龙市案例研究

Wyke Kusmasari, Alifia Mahirah, Ahmad Nalhadi
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摘要

在线摩托车出租车运输的开发在社会上获得了良好的反响。有了这个应用程序,人们可以更方便、更实用地订购摩托车出租车。许多网上摩托车出租车司机在工作时都有抱怨,其中之一就是要满足生活必需品的义务,这导致了体力和脑力工作量的增加。本研究旨在测量实龙市在线摩托车出租车司机的体力和脑力工作量。数据收集是通过使用 Polar H10 测量心率和填写 NASA-TLX 问卷来进行的,该问卷已分发给愿意成为受访者的网约摩托车出租车司机。数据处理从测量心率开始,平均%CVL 值为 40.08%。这一数值被列入需要改进的体力工作量类别。对于网约摩托车出租车司机的脑力劳动负荷数据,使用 NASA-TLX 方法计算得出的平均值为 74.20,属于较高类别。为减少这两项工作量而提出的建议包括:计算 90 分钟的工作休息时间、为自动摩托车设计额外的脚步、使用可喷洒的能源、促进道路拥堵检测工具、提高在线摩托车出租车应用程序的质量以及减少热应力暴露。
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Measurement of Physical and Mental Workload in Online Motorcycle Taxi Drivers: A Case Study in Serang City
The development of online motorcycle taxi transportation has received a good response in the community. With this application, it makes it easier for people to order motorbike taxis more practically. Many online motorcycle taxi drivers have complaints while working, one of which is the obligation to meet life's necessities which causes the physical and mental workload to increase. This study aims to measure the physical and mental workload of online motorcycle taxi drivers in Serang City. Data collection was carried out by measuring heart rate with a Polar H10 and filling out the NASA-TLX questionnaire which was distributed to online motorcycle taxi drivers who were willing to be respondents. Data processing starts from measuring heart rate, with an average %CVL value obtained of 40.08%. This value is included in the physical workload category that requires improvement. For mental workload data on online motorcycle taxi drivers, the average obtained from calculations using the NASA-TLX method is in the high category, namely 74.20. The suggestions given to reduce these two workloads are calculating work break times with a duration of 90 minutes, designing extra footsteps for automatic motorbikes, using sprayable energy, facilitating road congestion detection tools, improving the quality of online motorcycle taxi applications, and reducing heat stress exposure.
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