Qualitative Analysis of General Aviation Pilots’ Aviation Safety Reporting System Incident Narratives Using the Human Factors Analysis and Classification System

IF 1 4区 心理学 Q4 PSYCHOLOGY, APPLIED International Journal of Aerospace Psychology Pub Date : 2023-07-03 DOI:10.1080/24721840.2023.2232387
L. Vempati, Sabrina Woods, Robert C. Solano
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Abstract

ABSTRACT NASA's Aviation Safety Reporting System (ASRS) gathers data from voluntary aviation safety reports for nonfatal accidents and incidents. These reports are a valuable resource in identifying unsafe occurrences and hazardous situations in the aviation industry. A tool known as the Human Factors Analysis and Classification System (HFACS), initially developed for military use, has proven useful for root cause analysis of human causes in aviation accidents and incidents, including in commercial contexts. This research study utilizes HFACS to classify the ASRS safety reports to identify key indicators in General Aviation (GA) non-fatal accidents and incidents. Qualitative data analysis reveals relationships between incidents and causal factors, indicating 53% of incidents to be perceptual errors, 32% decision errors, and 26% skill-based errors. Prevalent preconditions for these errors include crew resource management (53%), physical environment (32%), and technological environment (16%). The study aligns with previous research findings, suggesting that crew resource management is a common factor in both GA incidents and commercial and military aviation. While GA pilots may make different types of errors, such discrepancies are not prevalent in the voluntarily reported data.
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基于人因分析和分类系统的通用航空飞行员航空安全报告系统事件叙述的定性分析
摘要美国国家航空航天局的航空安全报告系统(ASRS)从非致命事故和事件的自愿航空安全报告中收集数据。这些报告是识别航空业不安全事件和危险情况的宝贵资源。一种被称为人为因素分析和分类系统(HFACS)的工具,最初是为军事用途开发的,已被证明可用于航空事故和事件(包括商业环境)中人为原因的根本原因分析。本研究利用HFACS对ASRS安全报告进行分类,以确定通用航空(GA)非致命事故和事件的关键指标。定性数据分析揭示了事件和因果因素之间的关系,表明53%的事件是感知错误,32%是决策错误,26%是基于技能的错误。这些错误的普遍先决条件包括船员资源管理(53%)、物理环境(32%)和技术环境(16%)。这项研究与之前的研究结果一致,表明机组人员资源管理是GA事件以及商业和军用航空的共同因素。虽然GA飞行员可能会犯不同类型的错误,但这种差异在自愿报告的数据中并不普遍。
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自引率
7.70%
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