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首页> 美国政府科技报告 >Examining ATC (Air Traffic Control) Operational Errors Using the Human Factors Analysis and Classification System Final rept
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Examining ATC (Air Traffic Control) Operational Errors Using the Human Factors Analysis and Classification System Final rept

机译：使用人为因素分析和分类系统检查aTC（空中交通管制）操作错误最终评估

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In the literature of aviation accidents and incidents, human error has been recognized as the predominant factor contributing to aviation mishaps. Consequently, a number of human error models and taxonomies have been adapted to study the unique characteristics of flying an aircraft. However, relatively few attempts have been made to apply the same tools toward understanding the human factors causes of air traffic control (ATC) operational errors (OEs). An operational error is an occurrence attributable to an element of the air traffic system in which aircraft separation minima are not maintained. As a first attempt to systematically examine the underlying human causes of OEs, we report on the results of a study that consisted of three phases: (1) conducting a literature review to identify candidate error models and taxonomies, (2) selecting an appropriate error model or taxonomy for use in the ATC environment, and (3) applying the selected error model, or taxonomy, to a subset of the items identified by the FAA as OE causal factors. The results of our study revealed that, of the models and taxonomies examined, the Human Factors Analysis and Classification System (HFACS) was the taxonomy most readily adapted for use in an initial examination of ATC OEs. Causal factor items from 5,011 OE reports were classified using the HFACS taxonomy. Most items were classified as decision errors and skill-based errors.

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