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Human factors analysis and classification system applied to civil aircraft accidents in India.

机译:人为因素分析和分类系统应用于印度的民航事故。

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INTRODUCTION: The Human Factors Analysis and Classification System (HFACS) has gained wide acceptance as a tool to classify human factors in aircraft accidents and incidents. This study on application of HFACS to civil aircraft accident reports at Directorate General Civil of Aviation (DGCA), India, was conducted to ascertain the practicability of applying HFACS to existing investigation reports and to analyze the trends of human factor causes of civil aircraft accidents. METHOD: Accident investigation reports held at DGCA, New Delhi, for the period 1990--99 were scrutinized. In all, 83 accidents occurred during this period, of which 48 accident reports were evaluated in this study. RESULTS: One or more human factors contributed to 37 of the 48 (77.1%) accidents. The commonest unsafe act was 'skill based errors' followed by 'decision errors.' Violations of laid down rules were contributory in 16 cases (33.3%). 'Preconditions for unsafe acts' were seen in 23 of the 48 cases (47.9%). A fairly large number (52.1%) had 'organizational influences' contributing to the accident. DISCUSSION: These results are in consonance with larger studies of accidents in the U.S. Navy and general aviation. Such a high percentage of 'organizational influences' has not been reported in other studies. This is a healthy sign for Indian civil aviation, provided effective remedial action for the same is undertaken.
机译:引言:人机因素分析和分类系统(HFACS)作为飞机事故和事故中人为因素的分类工具已得到广泛认可。在印度民航总局(DGCA)进行了将HFACS应用于民用航空器事故报告的研究,以确定将HFACS应用于现有调查报告的可行性,并分析人为因素导致的民用航空器事故的趋势。方法:对在新德里DGCA举行的1990--99年期间的事故调查报告进行了审查。在此期间,总共发生了83起事故,其中48起事故报告在本研究中得到了评估。结果:一种或多种人为因素造成了48起事故中的37起(77.1%)。最常见的不安全行为是“基于技能的错误”,然后是“决策错误”。违反规定的原因是16例(33.3%)。在48起案件中,有23起发生了“不安全行为的先决条件”(47.9%)。相当一部分(52.1%)的事故具有“组织影响力”。讨论:这些结果与对美国海军和通用航空事故的更大研究相吻合。如此高的“组织影响力”比例尚未在其他研究中报道。如果印度民航采取了有效的补救措施,这是一个健康的信号。

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