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- Title
Development of a predictive model for workers' involvement in workplace accidents in an underground coal mine.
- Authors
Arra, Kumar; Gunda, Yuga Raju; Gupta, Suprakash
- Abstract
Underground mines are dynamic and dangerous. These features of underground coal mines, coupled with the low level of mechanization, have made underground Indian coal mines accident-prone. The mine managers are much stressed about achieving high productivity with safety. It is a fact that human performance is the primary driving force for operating these mines safely, and the work-related factors significantly impact human performance and safety. With the help of demographic data and work-related characteristics, this study seeks to assess the chance of accidents. We achieve this goal using improved work compatibility and a binary logit model. This study employs a step-wise backward elimination technique to develop the logit model with significant work-related factors. When testing the model with available data, we obtained encouraging accuracy. This study employs data envelopment analysis to identify and prioritise work-related factors for the prevention of workplace accidents. Finally, we made some suggestions that may work for enhancing productivity and safety.
- Subjects
WORK-related injuries; COAL mining accidents; MINES &; mineral resources; DATA envelopment analysis; COAL mining; ACCIDENT prevention; PREDICTION models
- Publication
Sādhanā: Academy Proceedings in Engineering Sciences, 2023, Vol 48, Issue 2, p1
- ISSN
0256-2499
- Publication type
Article
- DOI
10.1007/s12046-023-02121-3