A Framework to Evaluate Underground Mine Safety Performance by Using Bayesian Structural Equation Modelling

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  • Department of Mining Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, JharkhandPhD Scholar, ,IN
  • Assistant Professor, Department of Mining Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, Jharkhand ,IN


Hazards, Occupational Safety, Bayesian SEM.


This paper proposed an approach of a quantitative analysis to evaluate the accident causation in underground coal mines in India. The Bayesian structural equation modelling (SEm) is the best multivariate analysis to comprehend the safety measures for reducing accidents in underground coal mines in India. In this paper, an accident causation model have been proposed and developed for structural equation modelling with Bayesian inferences by using workers response on the basis of their perception of the parameters of several hazards which has to be measured by considering mine, miners and management variables and to achieve zero accident potential (ZAP), identification of hazards and actual cause of accident analysis is crucial. moreover, Bayesian inferences in structural equation modelling has to be applied to identify the hazards and markov Chain monte Carlo sampling in the form of Gibbs sampling has to be applied for parameter estimation.


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How to Cite

Mangal, A., & Paul, P. S. (2022). A Framework to Evaluate Underground Mine Safety Performance by Using Bayesian Structural Equation Modelling. Journal of Mines, Metals and Fuels, 66(9), 585–590. Retrieved from https://informaticsjournals.com/index.php/jmmf/article/view/31763



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