Human Factors Analysis and Classification System (HFACS): As Applied to Asiana Airlines Flight 214

A. Small
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引用次数: 1

Abstract

The Human Factors Analysis and Classifi cation System (HFACS) is a safety tool that aids in the identifi cation and analysis of organizational factors that contribute to aircraft accidents. By using the HFACS model, safety investigators can better understand the existing conditions that contribute to accidents, which then allows for the development and implementation of safety programs to prevent these conditions. In this study, the HFACS framework was utilized to identify the human factors that contributed to the Asiana Airlines fl ight 214 accident that occurred on July 6, 2013. The results of this study indicate that inadequate pilot training, lack of upper-level supervision, and recurring deviation from standard operating procedures (SOPs) largely contributed to this accident. These fi ndings emphasize the various organizational levels that serve a role in aviation accidents, highlighting the importance of practicing a proactive approach to safety and mitigating hazards within the upper levels of an organization before they lead to disaster on the front line. Small, A. (2020). Human factors analysis and classifi cation system (HFACS): As applied to Asiana Airlines fl ight 214. Journal of Purdue Undergraduate Research, 10 , 69–77
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人为因素分析与分类系统(HFACS):应用于韩亚航空214航班
人为因素分析和分类系统(HFACS)是一种安全工具,有助于识别和分析导致飞机事故的组织因素。通过使用HFACS模型,安全调查人员可以更好地了解导致事故的现有条件,从而允许制定和实施安全计划来防止这些条件。在本研究中,HFACS框架被用于识别导致2013年7月6日发生的韩亚航空214航班事故的人为因素。本研究结果显示,飞行员训练不足、缺乏上层监督、以及反复偏离标准作业程序(sop)是造成这起事故的主要原因。这些调查结果强调了在航空事故中发挥作用的各个组织级别,强调了在前线导致灾难之前,在组织的上层实施积极主动的安全方法和减轻危害的重要性。小,A.(2020)。人为因素分析与分类系统(HFACS):适用于韩亚航空214航班。大学学报(自然科学版
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审稿时长
22 weeks
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