Zhang Yingyu, Jing Linlin, Bai Qingguo, Liu Tiezhong, Feng Yan
a Qufu Normal University , China.
b Beijing Institute of Technology , China.
Int J Occup Saf Ergon. 2019 Jun;25(2):181-193. doi: 10.1080/10803548.2017.1415404. Epub 2018 Feb 5.
This study aimed to provide a greater understanding of the systemic factors involved in coal mine accidents and to examine the relationships between the contributing factors across all levels of the system. Ninety-four extraordinarily major coal mine accidents that occurred in China from 1997 to 2011 were analyzed using the human factors analysis and classification system (HFACS). The empirical results showed that the frequencies of unsafe behaviors, inadequate regulation and failure to correct hidden dangers were the highest among five levels, 14 categories and 48 indicators, respectively. The odds ratio technique was applied to quantitatively examine the relationships between contributing factors. Various statistically significant associations were discovered and should receive greater attention in future attempts to develop accident measures. In addition, several strategies concerning the main contributing factors and routes to failure are proposed to prevent accidents from reoccurring in an organization.
本研究旨在更深入地了解煤矿事故中涉及的系统因素,并考察系统各层面促成因素之间的关系。运用人为因素分析与分类系统(HFACS)对1997年至2011年期间在中国发生的94起特大煤矿事故进行了分析。实证结果表明,在五个层面、14个类别和48个指标中,不安全行为、监管不足以及未能消除隐患的发生频率分别为最高。采用优势比技术对促成因素之间的关系进行了定量考察。发现了各种具有统计学意义的关联,在未来制定事故预防措施时应予以更多关注。此外,针对主要促成因素和失效途径提出了若干策略,以防止组织内事故再次发生。