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Research on Selection of Vulnerable Areas to Walking Traffic Accidents for the Elderly Considering Jaywalking Accidents

무단횡단사고를 고려한 노인 보행 교통사고 취약 지역 선정 연구

  • Hong, Kiman (Korea Institute of Civil Engineering and Building Technology, Department of Future Technology and Convergence Research) ;
  • Im, I-jeong (Korea Institute of Civil Engineering and Building Technology, Department of Future Technology and Convergence Research) ;
  • Kim, Jonghoon (Korea Institute of Civil Engineering and Building Technology, Department of Future Technology and Convergence Research) ;
  • Song, Jaein (University of Hongik, Research Institute of Science and Technology)
  • Received : 2021.04.27
  • Accepted : 2021.05.31
  • Published : 2021.06.30

Abstract

Purpose: The purpose of this study is to present an analysis method to select priorities for areas where the traffic safety system is applied to reduce pedestrian accidents. Method: Using Kernel density analysis using the coordinate information of the accident point, we performed density analysis of elderly walking accidents and elderly jaywalking accidents, and analysis of the weight of two types of walking accidents. Result: As a result of density analysis of the weight considering elderly jaywalking accidents, it was analyzed that the density of pedestrian traffic accidents for th elderly was higher in Gunsan-si, Jeongeup-si, and Gimje -si compared to Jeonju-si, where the number of elderly pedestrian accidents were high. Conclusion: The analysis results of this study are judged to be possible to use objective indicators for the selection of target sites for the introduction of the traffic safety system.

연구목적: 본 연구는 보행사고 감소를 위해 도입되고 있는 교통안전시스템의 적용 지역에 대하여 우선 순위를 선정하기 위한 분석 방법을 제시하는데 목적이 있다. 연구방법: 사고지점의 좌표 정보를 이용한 Kernel density Analysis를 통해 노인보행사고 및 노인무단횡단추정사고에 대한 밀도 분석과 두 가지 보행사고 형태에 대한 가중치 분석을 수행하였다. 연구결과: 노인무단횡단추정사고를 고려한 가중치 밀도 분석 결과, 노인보행사고 발생건수가 많은 전주시에 비해 군산시, 정읍시, 김제시에서 노인 보행 교통사고 밀도가 높은 것으로 분석되었다. 결론: 본 연구의 분석 결과는 교통안전시스템 도입을 위한 대상지 선정시 지표 활용이 가능할 것으로 판단된다.

Keywords

Acknowledgement

본 논문은 2020년도 정부(행정안전부)의 재원으로 한국산업기술평가관리원의 지원을 받아 수행된 연구입니다(과제번호 20010164, 지역특화형 재난안전 연구지원 사업-노인 보행자 및 도로교통 안전을 위한 AI 교통안전시스템 실증 기술 개발).

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