등하교 안전사고 경향 분석: 텍스트네트워크 분석 및 토픽모델링 기반

초록

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

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