| Title |
Analysis of Seasonal Importance of Construction Hazards Using Text Mining |
| Authors |
박기창(Park, Kichang) ; 김형관(Kim, Hyoungkwan) |
| DOI |
https://doi.org/10.12652/Ksce.2021.41.3.0305 |
| Keywords |
건설사고; 위험요소; 텍스트마이닝; 빈도 분석; 중심성 분석 Construction accident; Hazard; Text mining; Frequency analysis; Centrality analysis |
| Abstract |
Construction accidents occur due to a number of reasons?worker arelessness, non-adoption of safety equipment, and failure to comply with safety rules are some examples. Because much construction work is done outdoors, weather conditions can also be a factor in accidents. Past construction accident data are useful for accident prevention, but since construction accident data are often in a text format consisting of natural language, extracting construction hazards from construction accident data can take a lot of time and that entails extra cost. Therefore, in this study, we extracted construction hazards from 2,026 domestic construction accident reports using text mining and performed a seasonal analysis of construction hazards through frequency analysis and centrality analysis. Of the 254 construction hazards defined by Korea’s Ministry of Land, Infrastructure, and Transport, we extracted 51 risk factors from the construction accident data. The results showed that a significant hazard was “Formwork” in spring and autumn, “Scaffold” in summer, and “Crane” in winter. The proposed method would enable construction safety managers to prepare better safety measures against
outdoor construction accidents according to weather, season, and climate. |