Work-Compatibility Based Accident Prediction Model for the Workforce of an Underground Coal Mine in India

Abstract

Mines are dynamic and hazardous; because of these characteristics along with semi mechanised working procedure, accidents are occurring in Indian underground coal mines mainly due to ill performance of the workforce. It is challenging for the supervisors to achieve optimal work output with an acceptable level of quality and safety. Many studies have reported that work-related factors play a significant role in influencing the level of human performance with safety. This study aims to predict the chance of occurrence of an accident concerning the work-related factors and employee demographics. These objectives were achieved by using modified work compatibility (WC) and binary logistic regression models. We have achieved an inspiring level of accuracy on testing the model with the available data. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.