지역상생을 위한 중심지의 연계권역별 분포에 관한 연구

• 영문명: A Study on the Central Places in Connected-Regions for Mutual Prosperity Under Population Decrease
• 발행기관: 한국지역개발학회
• 저자명: 배진원(Bae, Jinwon) 김륜희(Kim, Ryoonhee) 권영환(Kwon, Younghwan) 이미홍(Lee, Mihong)
• 간행물 정보: 『한국지역개발학회지』제31권 제3호, 89~112쪽, 전체 24쪽
• 주제분류: 사회과학 > 지역개발
• 파일형태: PDF
• 발행일자: 2019.09.30

영문 초록

There are increasing concerns of population decrease in South Korea because it brings loss of jobs, economic activity and quality of life as consequences. As one of the ways to sustain regions from population shrinkage, inter-regional linkage strategies have been proposed by sharing public facilities and services with neighboring cities. In this respect, this study aims to propose a linkage region that can support the region from population decline through interregional linkage. The analysis consists of three parts. First, we examine the centrality of facilities in all industrial sectors over the nation using the national point of interest (POI) provided from National Geographic Information Instiute (NGII) as of 2017. POI data is aggregated into the municipal unit to draw the most effective policy implications. Second, we perform divide-and-conquer analysis in order to subdivide multiple connected regions on the basis of the OD type of transportation data. Third, clusters of high and low values of centrality index in each region are calculated using Local Geary s cluster analysis method. The results show that the centrality of central cities in local regions ranges from 0.3 to 0.5, but when it is calculated it per population, some of the declining regions are highly centrally located. Service sector is more concentrated to metropolitan areas while leasure and culture related sectors are disseminated to shrinking or underdeveloped regions. Also, we derive 38 connected regions that seem to be most appropriate to sustain regional prosperity by providing necessary public and private services for people s living.

목차

1. 서 론

2. 이론고찰 및 분석방법

3. 중심지 및 상생지역권 분석 결과

4. 결 론

키워드

중심지 기능지수(Centrality Index) 연계권역(Connected Regions) 클러스터 분석(Cluster Analysis)