공간 빅데이터를 활용한 중소도시 지역맞춤형 도시재생·유지관리 연구 - 주거지역 집계구를 중심으로 -


A Study on the Regionally Customized Urban Regeneration and Maintenance of Small and Medium Cities Using Spatial Big-Data - Focused on the Residential Census Output Area -

한다혁, 이민석

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The purpose of this study is to maintain the existing characteristics of the city by utilizing the physical decline status and floating population in small and medium cities residential areas. In addition, it intends to present the direction of flexible urban regeneration and maintenance by reflecting regional characteristics and current status. A total of three data were used in this study. Building data, floating population data, and census output area data were used. Building data and floating population data were classified into five classes. The graded data were joined to the census output area data and analyzed by overlapping the two data. As a result of analysis of 17 residential areas in 5 small and medium cities in Jeollanam-do, 4 types, 2 management models, and 4 indicators could be presented by grade and regional characteristics. This study is meaningful in that it is possible to plan regionally customized urban regeneration/maintenance management plans and projects through the typology of the current status and characteristics of the region, which is an important step in the bottom-up form.


1. 서론
1.1 연구의 배경 및 목적
1.2 연구의 범위와 방법
2. 이론적 고찰
2.1 공간 빅데이터
2.2 도시 주거지역
2.3 도시재생 사업
2.4 선행연구 고찰
3. 전라남도 중소도시 분석
3.1 전라남도 중소도시 주거지역
3.2 전라남도 중소도시 건축물
3.3 전라남도 중소도시 유동인구
4. 중소도시 주거지역 공간 빅데이터 시뮬레이션
4.1 분석의 개요
4.2 물리환경 쇠퇴도와 유동인구 중첩분석
4.3 지역맞춤형 도시재생·유지관리 방향
5. 결론


  • 한다혁 Han, Da-Hyuck. 전남대학교 건축공학과, 박사수료
  • 이민석 Lee, Min-Seok. 전남대학교 건축학부 교수, 공학박사


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