A Framework to Evaluate Underground Mine Safety Performance by Using Bayesian Structural Equation Modelling
Keywords: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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Katiyar, S. N., Sinha, V. K. (2008): “Mine Disaster Prevention - a Human approach”. In: Proceedings of the 19th national convention and seminar on ‘Disaster in mines’ organized by Institution of Engineers, Dhabad local centre in association with Department of Mining Engineering, I.S.M. univesity, Dhanbad, India, 10 – 11 March, pp.113–119.
Directorate General of Mines Safety, (2016): “Standard note”, Office of Directorate General of Mines Safety, Ministry of Labour and Employment, Dhanbad, Hirapur, 826001, Jharkhand, India.
Regan T. L., Xing Liu, E. a. Lutz and Jefferey L. (2014): “Age, Injuries, and Costs: a Case Study for u.S. Gold and Coal Mines”, 6th Biennial Conference on new Frontiers in Health Policy and Health Care, held in the university of Pennsylvania, during June, 12-15, 2014.
National Safety Council (nSC), (2004): Estimating the Costs of unintentional Injuries. Retrived from http://www.nsc.org. [Last accessed 14/10/2016]
Pathak, M. (2008): Discussion Paper Series No. 002, HSE, united Kingdom.
Bahn S. (2013): “Workplace hazard identification and management: The case of an underground mining operation”, Safety Science, vol. 57, pp. 129 – 137.
Na G., Longzhe J., Peng W., Ling L. (2011): “The Study and application of Safety Information Management System of the Coal Mines”, procedia Engineering, vol. 26, pp. 2051 – 2058.
Liu Q., Li X., Hassall M. (2015): “Evolutionary game analysis and stability control scenarios of coal mine safety inspection system in China based on system dynamics”, Safety Science, vol. 80, pp. 13 – 22.
Cheng C., Lin C., Leu S. (2010): “use of association rules to explore cause effect relationships in occupational accidents in the Taiwan construction industry”, Safety Science, vol. 48, pp. 436 – 444.
Verma a., Khan S. D., Maiti J., Krishna O. B. (2014): “Identifying patterns of safety related incidents in a steel plant using association rule mining of incident investigation reports”, Safety Science, vol. 70, pp. 89 – 98.
Autenrieth D. A., Brazile W. J., Sandfort D. R., Douphrate D. I., Román-Muñiz I. n., Reynolds S. J. (2016): “The associations between occupational health and safety management system programming level and prior injury and illness rates in the u.S. dairy industry”, Safety Science, vol. 84, pp. 108 - 116.
Tan H., Wang H., Chen L., Ren H. (2012): “Empirical analysis on contribution share of safety investment to economic growth: a case study of Chinese mining industry”, Safety Science, vol. 50, pp. 1472 – 1479.
Biddle E. A. (2013): “Is the Societal burden of fatal occupational injury different among nORa industry sectors?”, Journal of Safety Research, vol. 44, pp. 7 - 16.
Lebeau M., Duguay P., Boucher A. (2014): “Costs of occupational injuries and diseases in Québec”, Journal of Safety Research, vol. 50, pp. 89 – 98.
Dembe A. E., Erickson J. B., Delbos R. G., Banks S. M. (2005): “The impact of overtime and long work hours on occupational injuries and illnesses: new evidence from the united States”, Occupational and Environmental medicine, vol. 62, pp. 588 – 597.
Ibarrondo-Dávila M. P., López-alonso M., Rubio-Gámez M. C. (2015): “Managerial accounting for safety management. The case of a Spanish construction company”, Safety Science, vol. 79, pp. 116 – 125.
Kinilakodi H., Grayson R. L. (2011): “A methodology for assessing underground coal mines for high safety-related risk”, Safety Science, vol. 49, pp. 906 – 911.
Lee S., Park I. (2013): “application of decision tree model for the ground subsidence hazard mapping near abandoned underground coal mines”, Journal of Environmental management, vol. 127, pp. 166-176.
Wang, Y. R., and Gibson, G. E. (2010): “a study of pre project planning and project success using anns and regression models”, Automation in Construction, vol. 19, no. 3, pp. 341–346.
Duzgun H. S. B. (2005): “analysis of roof fall hazards and risk assessment for Zonguldak coal basin underground mines”, International Journal of Coal Geology, vol. 64, pp. 104 – 115.
Pinto a., nunes I. L., Ribeiro R. a. (2011): “Occupational risk assessment in construction industry – Overview and reflection”, Safety Science, vol. 49, pp. 616–624.
Mandal S., Maiti J. (2014): “Risk analysis using FMEa: Fuzzy similarity value and possibility theory based approach”, Expert Systems with Applications, vol. 41, pp. 3527 – 3537.
Khanzode V. V., Maiti J., Ray P. K. (2011): “Injury count model for quantification of risk of occupational injury”, International Journal of Injury Control and Safety promotion, vol. 18, no. 2, pp. 151 - 162.
naderpour M., Lu J., Zhang G. (2015): “a human-system interface risk assessment method based on mental models”, Safety Science, vol. 79, pp. 286 – 297.
Kohler J. L. (2015): “Looking ahead to significant improvements in mining safety and health through innovative research and effective diffusion into the industry”, International Journal of mining Science and Technology, vol. 25, pp. 325 – 332.
unsar S., Sut n. (2009): “General assessment of the occupational accidents that occurred in Turkey between the years 2000 and 2005”, Safety Science, vol. 47, pp. 614 – 619.
Kowalski-Trakofler K. M., Barrett E. A. (2003): “The concept of degraded images applied to hazard recognition training in mining for reduction of lost-time injuries”, Journal of Safety Research, vol. 34, pp. 515 – 525.
Morillas R. M., Rubio-Romero J. C., Fuertes a. (2013): “a comparative analysis of occupational health and safety risk prevention practices in Sweden and Spain”, Journal of Safety Research, vol. 47, pp. 57–65.
Maiti J., Bhattacharjee a. (1999): “Evaluation of risk of occupational injuries among underground coal mine workers through multinomial logit analysis”, Journal of Safety Research, vol. 30, no. 2, pp. 93 - 101.
Bhattacherjee, a., Kunar, B., M Baumann M, Chau n. (2013): “The role of occupational activities and work environment in occupational injury and interplay of personal factors in various age groups among Indian and French coalminers”, International Journal of Occupational medicine and Environmental Health, vol. 26, no. 6, pp. 910 - 929.
Kunar, B. M., Bhattacherjee, a., Samanta B., Mitra a. (2014): “Relationship of individual and work related factors with obstructive type lung function disorder of underground coal miners: a spirometry study”, Journal of Geology and mining Research, vol. 6, no. 5, pp. 57 - 63.
Chau N., Wild P., Dehaene D., Benamghar L., Mur J. M., Touron C. (2010): “Roles of age, length of service and job in work-related injury: a prospective study of 446 120 person-years in railway workers”, Occupational and Environmental medicine, vol. 67, pp. 147-153.
Ghosh A. K., Bhattacherjee a. (2009): “Loglinear model for assessment of risk factors of occupational injuries in underground coal mines”, Journal of Geology and mining Research, vol. 1, no. 2, pp. 25–33.
Palei S. K., Das S. K. (2008): “Sensitivity analysis of support safety factor for predicting the effects of contributing parameters on roof falls in underground coal mines”, International Journal of Coal Geology, vol. 75, pp. 241 – 247.
Maiti J., Bhattacharjee a. (2000): “a causal model for evaluation of mine safety”, mining Technology: Transactions of the Institutions of mining and metallurgy: Section A, vol. 109, no 1, pp. 55 - 59.
Paul P. S., Maiti J. (2008): “The synergic role of sociotechnical and personal characteristics on work injuries in mines”, Ergonomics, vol. 51, no. 5, pp. 737 – 767.
Maiti. J. (1999). “an Investigation of Multivariate Statistical Models to Evaluate Mine Safety Performance”. unpublished Ph.D. Thesis, Department of Mining Engineering, Indian Institute of Technology, Kharagpur, 217 pp.
Paul P. S. (2004): “Mine Safety Management - an application of Personal and Sociotechnical Characteristics of Work Injury in Mines”, unpublished Ph.D. dissertation, Department of Mining Engineering, Bengal Engineering and Science university, Shibpur, pp. 231.
Ghosh A.K., Bhattacherjee a., Chau n. (2004): “Relationships of working conditions and individual characteristics with occupational injuries: a case-control study in coal miners”, Journal of Occupational Health, 46, pp. 470 - 478.
Palei S. K. (2006): “Development of Risk analysis Model for Roof Fall Hazards in underground coal from Eastern South mine India”, unpublished Doctoral dissertation, Indian Institute of Technology, Kharagpur, Midnapore, 721302, West Bengal, India, pp. 152.
Kunar B. M. (2008): “Impact of Occupational and Individual Characteristics in underground Coal Miner’s Injuries: Matched analysis in a Case-Control Study”, unpublished Doctoral dissertation, Indian Institute of Technology, Kharagpur, Midnapore, 721302, West Bengal, India, pp. 147.
Khanzode V. V. (2010): “Modeling Risk of Occupational Injury”, unpublished Doctoral dissertation, Indian Institute of Technology, Kharagpur, Midnapore, 721302, West Bengal, India, pp. 220.
Joreskog, K. G. and Sorbom, D. (1998): “LISREL 9.2: Structural equation modelling with the SIMPLIS command language”, Hillsdale, nJ: Erlbaum.
Anderson, J.C. and Gerbing, D. W. (1988): “Structural equation modelling in practice: a review and a recommended two step approach”, psychological Bulletin, vol. 103, pp. 411–425.
Sumer, N. (2003): “Personality and behavioral predictors of traffic accidents: testing a contextual mediated model”, Accident Analysis and prevention, vol. 35, pp. 949–964.
Hansen, C. P. (1989): “a causal model of the relationship among accidents, biodata, personality and cognitive factors”, Journal of Applied psychology, vol. 74, pp. 81–90.
Muthen, B.O. (2010). Bayesian analysis in Mplus: a brief introduction. Retrieved from http://www.statmodel.com [Last accessed 11/10/2016].
Gelfand, A.E., and Smith, A.F.M. (1990). Sampling-based approaches to calculate marginal densities. Journal of the American Statistical Association, 85, 398–409.
Geman, S., and Geman D. (1984). Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Transactions on pattern Analysis and machine Intelligence, 6, 721–741.
Raftery, A., and Lewis, S. (1992): “How many iterations in the Gibbs sampler”, Bayesian Statistics, vol. 4, no. 2, pp. 763 – 773.
Warnes, G. R. (2005): “Mcgibbsit: Warnes and Raftery’s MCGibbsit MCMC diagnostic” (R package version.