%0 Journal Article
%T Analysis of human and organizational factors that influence mining accidents based on Bayesian network
%J International journal of occupational safety and ergonomics
%D 2018
%A Mirzaei Aliabadi, Mostafa
%A Aghaei, Hamed
%A Kalatpour, Omid
%A Soltanian, Ali Reza
%A Nikravesh, Asghar
%V ePub
%N ePub
%P 1-8
%X PURPOSE: The present study was aimed to analyze human and organizational factors involved in mining accidents and determine the relationships among these factors. <br><br>MATERIALS AND METHODS: In this study, Human Factors Analysis and Classification System (HFACS) with Bayesian network (BN) were combined in order to analyze contributing factors in mining accidents. BN was constructed based on a hierarchal structure of HFACS. The required data were collected from a total of 295 cases of Iranian mining accidents and analyzed using HFACS. Afterwards, prior probability of contributing factors was computed using the expectation-maximization algorithm. Sensitivity analysis was applied to determine which contributing factor had a higher influence on unsafe acts to select the best intervention strategy. <br><br>RESULTS: The analyses showed that skill based errors, routine violations, environmental factors, and planned inappropriate operation had a higher relative importance in the accidents. Moreover, sensitivity analysis revealed that environmental factors, failed to correct known problem, and personnel factors had a higher influence on unsafe acts. <br><br>CONCLUSION: The results of the present study could provide guidance to help safety and health management by adopting proper intervention strategies to reduce mining accidents.<p /> <p>Language: en</p>
%G en
%I Informa - Taylor and Francis Group
%@ 1080-3548
%U http://dx.doi.org/10.1080/10803548.2018.1455411