The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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A Study on Risk Factors and Analysis Methods for Identifying Hazardous Zones of Safety Accidents on Community Roads

생활도로 안전사고 위험요인 및 위험구간 분석방안 연구

  • Jeongjin Jang (Dept. of Urban Planning., Univ. of Gachon) ;
  • Seyoung Ahn (Dept. of Urban Planning., Univ. of Gachon) ;
  • Jaeduk Lee (Dept. of Urban Planning., Univ. of Gachon) ;
  • Sangbeom Lee (Dept. of Urban Planning., Univ. of Gachon) ;
  • Iljoon Chang (Dept. of Urban Planning., Univ. of Gachon)
  • 장정진 (가천대학교 도시계획학과) ;
  • 안세영 (가천대학교 도시계획학과) ;
  • 이재덕 (가천대학교 도시계획학과) ;
  • 이상범 (가천대학교 도시계획학과) ;
  • 장일준 (가천대학교 도시계획학과)
  • Received : 2024.08.23
  • Accepted : 2024.09.04
  • Published : 2024.10.31
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Abstract

Community roads pose risks for traffic accidents, falls, crimes, and disasters, threatening pedestrian safety. However, current road management and safety systems primarily focus on arterial roads, and fail to adequately consider the unique characteristics of community roads. This study presents a methodology to more effectively predict various pedestrian accidents on community roads by categorizing risk zones based on a distribution of risk factors. Through field surveys, key risk factors for each type of accident were identified, and the frequency of these factors was used to classify risk zones, which were then visually represented using GIS. Applying this methodology to Seoul's Seocho 1-dong, a comparison with actual accident data revealed a partial correlation between the predicted risk zones and actual locations of traffic and disaster-related incidents, thereby validating the methodology. This study is expected to serve as a policy tool for preventing accidents and enhancing safety on community roads.

생활도로는 교통사고, 낙상, 범죄, 재해 등 다양한 위험요소가 존재하여 보행 안전을 위협하고 있으나, 현재의 도로관리 및 안전체계는 간선도로 위주로 운영되어 생활도로의 특성을 충분히 고려하지 못하고 있다. 본 연구는 생활도로에서 발생할 수 있는 다양한 보행자 사고를 보다 효과적으로 예측하기 위해, 위험요인의 분포에 따라 구간을 등급화하는 새로운 방법론을 제시하였다. 현장조사를 통해 각 사고 유형별로 주요 위험요인을 도출하였으며, 도출된 위험요인들의 출현횟수에 따라 위험구간을 분류하고 GIS 활용하여 시각적으로 표현하였다. 서울시 서초1동을 대상으로 이 방법론을 적용하여 실제 사고 데이터와 비교 분석한 결과, 교통사고와 재해사고 부문에서 예측된 위험구간과 실제 사고 구간이 다소 일치하는 것으로 나타나 방법론의 타당성을 확인하였다. 이 연구는 생활도로에서의 사고를 사전에 예방하고 안전을 개선하기 위한 정책적 도구로 활용될 수 있을 것으로 기대한다.

Keywords

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