2020년 산업재해로 발생한 재해자의 특성요인 분석을 통한 산업재해저감방안 도출

Objective: This study aims to provide foundation data to prevent industrial accidents by extracting insights from the analysis of the Characteristics of the victims of Industrial Accidents in 2020. Background: South Korea faced various industrial accident occurrences and the Korea Occupational Safety and Health Agency (KOSHA) conducts an industrial accident survey every year to produce statistical data related to various industrial accidents. However, since the report is mainly composed of descriptive statistical analysis and provided, it is difficult to conduct an in-depth analysis to prevent industrial accidents. In order to prevent industrial accidents, not only a basic analysis of industrial accidents but also a detailed analysis of the victims of the industrial accidents is required. Therefore, this study intends to provide basic data for the prevention of industrial accidents in the future by analyzing the characteristics of the victims of industrial accidents based on the 2020 Industrial Accident Report. Method: To analyze the data from the Industrial Accident Cause Investigation Report in 2020 of KOSHA, the cross-tabulation analysis by the Pearson's Chi-square Test was used between each factor, such as the industry type and the business size, the workers' age, the accident pattern, the work period and the accident year. And the results of the statistical significance and the relationship on each factor are interpreted and finally, the meaning of the analysis was described. Results: The results suggested that there are significant differences between the victims of industrial accidents and industry type, the size of business, the workers' age, the accident pattern, the work period, and the accident year. This study also discovered that there are significant differences in the disaster types and number of industrial victims. Conclusion: In this study, the relationship and meaning between victims of the industrial accident and various influence factors that can affect the accidents of the industrial accidents were analyzed. Application: The results can be used as basic data for ergonomics guidelines from various factors to reduce industrial accidents.