TY - JOUR
T1 - A systems approach to extraordinarily major coal mine accidents in China from 1997 to 2011
T2 - an application of the HFACS approach
AU - Zhang, Yingyu
AU - Jing, Linlin
AU - Bai, Qingguo
AU - Liu, Tiezhong
AU - Feng, Yan
N1 - Publisher Copyright:
© 2018, © 2018 Central Institute for Labour Protection–National Research Institute (CIOP-PIB).
PY - 2019/4/3
Y1 - 2019/4/3
N2 - 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.
AB - 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.
KW - accident analysis
KW - extraordinarily major coal mine accidents
KW - human factors analysis and classification system
KW - systems approach
UR - http://www.scopus.com/inward/record.url?scp=85041568465&partnerID=8YFLogxK
U2 - 10.1080/10803548.2017.1415404
DO - 10.1080/10803548.2017.1415404
M3 - Article
C2 - 29226767
AN - SCOPUS:85041568465
SN - 1080-3548
VL - 25
SP - 181
EP - 193
JO - International Journal of Occupational Safety and Ergonomics
JF - International Journal of Occupational Safety and Ergonomics
IS - 2
ER -