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 -

다국어 초록 (Multilingual Abstract)

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.

참고문헌 (Reference)

1 김영, "지방중소도시 도심 주거지 정비 및 재생방안-마산시와 진주시를 중심으로" 2010

2 한다혁, "중소도시의 물리적 쇠퇴등급 분류 연구 - 집계구 단위의 건축물 DB 분석을 중심으로 -" 한국농촌건축학회 22 (22): 41-48, 2020

3 안상미, "주거환경 및 건축현황 관련 공간정보 빅데이터를 이용한 도시재생지역 선정평가법의 개발-서울시 주거지역을 중심으로" 고려대학교 2017

4 조정훈, "유동인구 빅데이터를 활용한 도시재생활성화지역 유형 분류및 특성분석" 경상대학교 2017

5 국토교통부, "도시재생종합정보체계, 국토교통부, 도시재생 뉴딜사업"

6 국토교통부, "GIS 건물통합정보"