Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/270
Title: Estimation of the risk of work-related accidents for underground hard coal mine workers by logistic regression
Authors: Bilim, Niyazi
Bilim, Atiye
Keywords: Logistic Regression
Work Safety
Work Accident
Coal Mine Accident
Accident Analyses
Occupational-Health Hazards
Statistical-Analysis
Safety Evaluation
Mining Safety
Injuries
China
Explosions
Management
Lost
Experience
Issue Date: 2021
Publisher: TAYLOR & FRANCIS LTD
Abstract: Coal mining has the most risk in all of the mining sectors. Hence, in this sector, most work accidents encountered are 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 and 2019 in underground hard coal mines in Turkey were analyzed using logistic regression analysis. 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 can 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.
URI: https://doi.org/10.1080/10803548.2021.1990571
https://hdl.handle.net/20.500.13091/270
ISSN: 1080-3548
2376-9130
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collections
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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