Abstract: Against the backdrop of the continuous development of the coal industry and the improvement of the coal mine safety supervision system, the causes of coal mine safety accidents have gradually become a focal point of research in the field of coal mine safety. Human factors account for the highest proportion in the causes of accidents. Although there is extensive research on the influencing factors of coal mine accidents, there is a lack of an indicator system that can enable managers and frontline workers to promptly identify risks. Therefore, this paper, based on the Human Factors Analysis and Classification System (HFACS) as the framework and supported by data from direct or indirect causes in accident reports, attempts to improve an HFACS model applicable to coal mine safety accidents.