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생활인프라 공급계획을 위한 접근성 평가 방법

A Method of Measuring Accessibility for Community Infrastructure Planning

  • 이하연 (인천대학교 건설환경공학부) ;
  • 김성표 (인천대학교 건설환경공학부) ;
  • 강상혁 (인천대학교 건설환경공학부)
  • Yhee, Hayeon (Department of Civil and Environmental Engineering, Incheon National University) ;
  • Kim, Sungpyo (Department of Civil and Environmental Engineering, Incheon National University) ;
  • Kang, Sanghyeok (Department of Civil and Environmental Engineering, Incheon National University)
  • 투고 : 2019.08.20
  • 심사 : 2019.11.07
  • 발행 : 2020.01.31

초록

최근 생활인프라에 대한 관심과 재정투자가 점점 증가하고 있다. 국토교통부는 누구에게나 적용할 수 있는 보편적 생활서비스의 공급 및 지원 한계선으로 생활인프라 시설당 소요 시간거리를 제시하였다. 본 논문에서는 소요 시간거리를 산출할 때 기존에 주로 사용되던 직선거리 버퍼분석이 아닌 실제 이동 경로 및 소요시간을 산출하기 위하여 경로안내 API를 활용하는 방안을 제시하였다. 경로안내 API를 활용하면 횡단보도, 경사로 등과 같은 이동 제약요소를 반영할 수 있어 한층 현실성 있는 접근성 분석이 가능하다. 이 데이터를 활용하여 인천광역시 연수구를 대상으로 지역별 생활인프라 시설물 접근성 지수를 산출하였다. 또한 공간분석을 통하여 생활인프라 시설물로부터 소외된 지역을 파악하였다. 분석 결과 더욱 정확하고 현실성 있는 접근성 분석이 가능한 것으로 판단되었다. 본 연구의 접근성 측정방법은 각 지역의 도시재생 계획 및 생활인프라 시설 투자에 기초자료로 활용될 수 있을 것으로 사료된다.

Recently, interest and financial investment in community infrastructure have been growing. Accordingly, Korean Ministry of Land, Infrastructure and Transport suggested a standard for community infrastructure planning. The standard was based on time distance which represents citizens' accessibility to infrastructure facilities. This paper presents a method to use the navigation application programming interface (API) to calculate travel time. Buffer analysis using Euclidean distance has been widely used so far to evaluate accessibility. However, this method has limitation in that it does not reflect situations in the real world such as crosswalks and slope ways. The infrastructure accessibility indices of local towns in Yeonsu-gu, Incheon were computed based on the time obtained by navigation API. Also, Yeonsu-gu was spatially analyzed to reveal the resident units that are marginalized from community infrastructure facilities. Using navigation API enables to compute realistic accessibility indices and to find unbenefitted residential areas. The method presented in this paper can help community infrastructure planners for their facility spatial plan and budget distribution.

키워드

참고문헌

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