Analysis of School Commuting Safety and Accident Trend by School Level: Text Network Analysis and Topic Modeling

In this study, the risk factors that lead to accidents when students commute and from school was analyzed compared using raw DATA, a collection of data notified by various levels schools in Seoul between 2016 2021. A text-mining technique employed for analysis. The results suggest kindergarteners experience most often on their way home. physical cause include stairs vehicles which primarily damage head face. Keywords such as returning home, preparing go commuting school-stairs were extracted text Similarly, elementary also Physical factors, stairs, are primary front teeth forehead. home-stairs, home-playground, home after identified. Middle accidents, significant bicycles, injuries ankles, knees, ligaments, legs. school-bicycle home-play ground-friend-soccer retrieved through mining. High school. Major buses, have been found ankles knees. keywords bicycle-commuting school, bicycle-face, bicycle-steep downhill, buses-ankle detected. This study attempted analyze different grades understand characteristics safety at provide policy direction data-based education management measures.