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A Study on Commuting Rights in Gyeongsangnam-do Using Network Analysis - Compared to the happy living area in Gyeongsangnam-do -
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네트워크 분석을 활용한 경상남도 통근권에 관한 연구 - 경상남도 행복 생활권과 비교하여 -

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Type
Academic journal
Author
Kim, Gyeongwon Joo, Heesun (경상국립대학교)
Journal
The Korean Housing Association Journal of the Korean Housing Association Vol.33 No.1 KCI Accredited Journals
Published
2022.2
Pages
19 - 29 (11page)
DOI
10.6107/JKHA.2022.33.1.019

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A Study on Commuting Rights in Gyeongsangnam-do Using Network Analysis - Compared to the happy living area in Gyeongsangnam-do -
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Abstract· Keywords

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The living area in Korea’s urban planning has been established based on administrative districts for administrative processing. The living area refers to the scope of space where residents’ daily life activities such as commuting, shopping, leisure, friendship, work, and public services are carried out. The living area plan is at the level of citizens to discover and solve life improvement tasks that meet their needs and local characteristics. This study focuses on the spatial scope of large cities around Gyeongsangnam-do and Gyeongsangnam-do, and aims to see the living area based on the actual inflow and outflow population. Gyeongsangnam-do is an area where many small and medium-sized cities and counties are located, and is evaluated as an appropriate research range in this study. This study conducted centrality analysis and community analysis using SKT living population data in 2019. As a result of community analysis, it was confirmed that the living area in Gyeongsangnam-do was divided into seven living areas, but was actually divided into a total of six living areas based on commuting. The results were different from those of regions where movement and living areas were established due to the actual floating population. When setting up a living area, it is necessary to consider setting a living area according to urban planning that also considers the commuting population.
#Living Zone #Big Data #Centrality Analysis #Community Analysis #생활권 #빅데이터 #중심성 분석 #커뮤니티 분석

Contents

Abstract
I. 서론
II. 이론적 배경
III. 연구 방법
IV. 중심성 분석 및 커뮤니티분석
V. 결론
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