Citation

Bilim N, Bilim A. Int. J. Occup. Safety Ergonomics 2021; ePub(ePub): ePub.

Copyright

(Copyright © 2021, Centralny Instytut Ochrony Pracy - Państwowy Instytut Badawczy, Publisher Informa - Taylor and Francis Group)

DOI

10.1080/10803548.2021.1990571

PMID

34622745

Abstract

Coal mining has the most risk in all the mining sectors. Hence in this sector with most work accidents are encountered in an intensive. The demographic characteristics of workers affect the occurrence of occupational accidents. This study aims to develop an equation that predicts workday loss by analyzing the relationship between workers' demographic characteristics and having an accident with workday loss. In this study, work-related accidents between 2014-2019 in underground hard coal mines in Turkey were analyzed using the logistic regression analysis method. An equation is derived that estimates the workday loss with the characteristics of workers in hard coal mines. With the equation derived in this study, employers will determine the potential for work accidents according to the demographic characteristics of the workers and serious work accidents will be prevented. Therefore, proactive solutions can be produced by applying the methods used in this study to different industries.

Language: en

Keywords

accident analyses; coal mine accident; Logistic regression; work accident; work safety