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Measures for the Improvement of Construction Work Accident Information Service Contents in CPMS: Focused on Analysis of Construction Work Accidents Big Data

This paper analyzes 14,578 cases of construction industry accidents based on big data for the improvement of the construction work accident information service contents of the Construction Project Management System ("CPMS"). The data were gathered from South Korea's major portal site that provides the accident causes, workers' behavior, injury areas, and injury factors. The data were surveyed in the following order. Factors (words) were extracted and classified into various categories, factors with predicates and adverbs were re-extracted, the target data were verified, factors were standardized and classified, and the rate and correlational rate by factor were analyzed. The analysis revealed that crash accidents involving high-place work accounted for 47% of all the accidents, arm and leg injuries, 29% and 26%, respectively, and bone fractures, 47%. For the injury causes by injury factor, crashes from ladders and roofs occurred most frequently, and for the injury areas by injury factor, leg injuries associated with materials, reinforcing bars, and excavators occurred most frequently.