| Literature DB >> 29226767 |
Yingyu Zhang1, Linlin Jing1, Qingguo Bai1, Tiezhong Liu2, Yan Feng3.
Abstract
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.Entities:
Keywords: accident analysis; extraordinarily major coal mine accidents; human factors analysis and classification system; systems approach
Mesh:
Year: 2018 PMID: 29226767 DOI: 10.1080/10803548.2017.1415404
Source DB: PubMed Journal: Int J Occup Saf Ergon ISSN: 1080-3548