Korea`s industrial death rate is 13 percent in 2015. It’s five times higher than the OECD average. Economic losses due to industrial accidents continue to grow, reaching 19 trillion won in natural disaster losses equivalent to 1.1 trillion won, requiring fundamental changes in industrial safety levels. In this study, We classified the risk of accidents in industrial complex of Ulju-gun using spacial analysis and decision tree methodologies. We draw the main factors that affect the accident and developed the four risk category(alert, hazard, caution, and attention). It is judged to be available in different policy decisions for different types, such as those used by different types of risk ratings, targeted education, and technical support.

• 고경석(한국국토정보공사, 전북대학교)
• 양재경(전북대학교)