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http://dx.doi.org/10.5143/JESK.2018.37.2.193

Risk Assessment Matrix for Occupational Cleaning Workers and Accidents Prevention  

Choi, Chang Lyul (Korea National University of Transportation, Department of Industrial Safety Engineering)
Rhim, Jong Kuk (Korea National University of Transportation, Department of Industrial Safety Engineering)
Lee, Dong Kyung (Woosong University, Department of Fire and Disaster Protection Engineering)
Publication Information
Journal of the Ergonomics Society of Korea / v.37, no.2, 2018 , pp. 193-204 More about this Journal
Abstract
Objective: The purpose of this study is to develop risk assessment matrices for building cleaning jobs and to suggest preventive measures against unacceptable risks with high risk of accidents to reflect them in accident prevention policy and to induce safety work of field workers. Background: In order to prevent industrial accidents, the risk assessment for the occupation type should be preceded. Based on the results, it is necessary to establish and implement the accident prevention measures for the dangerous work that has a high possibility of accidents and large damages in case of occurrence. Method: In this study, a risk assessment matrix was derived by analyzing 1,645 building cleaner accident data approved as a work related injuries in 2015. Based on the results of risk assessment, Measures for the prevention of accidents by risk work were suggested. Results: The 16 risk factors were found during the building cleaners' working, the most dangerous hazards of them were slipping on the floor (or the stairs) and falling on the ladder. Conclusion and Application: The results of the risk assessment matrix analysis using the accident data for occupational cleaning workers and the suggestion of the accident prevention measures for the high risk work can be useful for suggesting the safe working methods of the workers in the building cleaning workers concentrated on the aged female workers.
Keywords
Building cleaners; Risk assessment matrix; Accident prevention;
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Times Cited By KSCI : 4  (Citation Analysis)
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