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.
| Original language | English |
|---|---|
| Pages (from-to) | 181-193 |
| Number of pages | 13 |
| Journal | International Journal of Occupational Safety and Ergonomics |
| Volume | 25 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 3 Apr 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- accident analysis
- extraordinarily major coal mine accidents
- human factors analysis and classification system
- systems approach
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