Predicting Accident Susceptibility: A Logistic Regression Analysis Of Underground Coal Mine Workers

The Southern African Institute of Mining and Metallurgy
J. Maiti
Organization:
The Southern African Institute of Mining and Metallurgy
Pages:
6
File Size:
522 KB
Publication Date:
Jan 1, 2001

Abstract

This study examined the group differences in accident susceptibility among underground coal mine workers accounting for their personal and workplace characteristics. A logistic regression model was used for this purpose. Data were collected from five underground coal mines for a period of four years. The case study results revealed that different age and experience groups of workers bear no significant differences in their accident susceptibility; however, the workplace location and occupation groups show significant differences in their risk of injuries. It is inferred based on the logistic model results that among the three occupation groups, the face workers are more susceptible towards accidents/injuries compared to the haulage and other workers. Key Words: Mine Safety, Accident Susceptibility, Group Differences, and Logistic Regression.
Citation

APA: J. Maiti  (2001)  Predicting Accident Susceptibility: A Logistic Regression Analysis Of Underground Coal Mine Workers

MLA: J. Maiti Predicting Accident Susceptibility: A Logistic Regression Analysis Of Underground Coal Mine Workers. The Southern African Institute of Mining and Metallurgy, 2001.

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