Estimation of the risk of work-related accidents for underground hard coal mine workers by logistic regression
| Autor: | Atiye Bilim, Niyazi Bilim |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Estimation
business.industry Public Health Environmental and Occupational Health Coal mining Miners Logistic regression Coal Mining Work related Logistic Models Coal Work (electrical) Hard coal Environmental health Humans Accidents Occupational Business Safety Risk Reliability and Quality Work safety Safety Research |
| Zdroj: | International Journal of Occupational Safety and Ergonomics. 28:2362-2369 |
| ISSN: | 2376-9130 1080-3548 |
| DOI: | 10.1080/10803548.2021.1990571 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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