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Human Error Analysis Using Systematic Human Error Reduction and Prediction Approach (SHERPA) on Operation Process of Taksi Kosti Solo

机译:利用系统人为误差减少和预测方法(SHERPA)对Taksi Kosti Solo的运作过程的人为错误分析

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It can not be denied that along with the increasing number of vehicles on the road, the number of traffic accidents naturally facing increment. This research identifies and analyzes potential errors that Taksi Kosti Solo drivers experienced during driving. In this research, Systematic Human Error Reduction and Prediction Approach (SHERPA) method is used to identify potential errors during driving and analyze the potential errors. The findings suggest that there are 21 potential of critical errors that consist of 11 errors of action type error and 10 errors of check type error are found. Meanwhile retrieval, communication and selection type of error are not found. Suggestion of improvement, such as giving briefing, making checklist of taxi condition and making Standard Operating Procedure (SOP) of taxi operation process are presented to reduce the potential errors.
机译:它不能被拒绝,随着道路上的越来越多的车辆,交通事故的数量自然地面临增量。该研究识别并分析了Taksi Kosti Solo驱动程序在驾驶期间经验的潜在错误。在本研究中,系统的人为错误降低和预测方法(SHERPA)方法用于识别驾驶期间的潜在误差并分析潜在的误差。调查结果表明,有21个潜在的临界错误,包括11个动作类型错误,并找到了10个检查类型错误的10个错误。同时找不到检索,通信和选择类型的错误。提出建议,如给出出租车运行过程的出租车条件和制作标准操作程序(SOP的标准操作程序(SOP)以减少潜在错误。

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