통행특성별 OD자료와 Community Detection 기법을 활용한 공간위계별 생활권 설정 연구 - 2010년 수도권 가구통행실태조사자료를 중심으로 -A Study on the Designation of Living Zones by Its Spatial Hierarchy Using OD Data and Community Detection Technique - Focused on the 2010 Household Travel Survey Data of the Seoul Metropolitan Area -
- Other Titles
- A Study on the Designation of Living Zones by Its Spatial Hierarchy Using OD Data and Community Detection Technique - Focused on the 2010 Household Travel Survey Data of the Seoul Metropolitan Area -
- Authors
- 하재현; Lee, Su gie
- Issue Date
- 2016
- Publisher
- 대한국토·도시계획학회
- Keywords
- 통행패턴; Community Detection; 네트워크 분석; 생활권; 빅데이터; 가구통행실태조사자료; Travel Pattern; Community Detection; Network Analysis; Living Zones; Big Data; Household Travel Survey
- Citation
- 국토계획, v.51, no.6, pp.79 - 98
- Indexed
- KCI
- Journal Title
- 국토계획
- Volume
- 51
- Number
- 6
- Start Page
- 79
- End Page
- 98
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/155409
- ISSN
- 1226-7147
- Abstract
- 본 연구는 서울시를 포함한 수도권을대상으로 2010년 가구통행실태조사자료의 통행특성별 OD자료를 바탕으로 도시민들의 실제 생활반경을 고려한 생활권을 공간위계에 따라 구분한다. 이를 위해, 최근 빅데이터(big data)와 공간 네트워크분석의 일환으로 사용되는 Community Detection 방법론을 활용한다. 생활권의 설정은 다양한 측면에서 이루어져야 하지만, 본 연구의 경우 도시민들의실제 통행행태를 바탕으로 한 생활반경을 중점적으로 살펴보고 있으며, 이를 통해 객관적이고 생활권설정목적에 부합하는 생활권 구분 방법을 제시한다.
This study aims to designate the boundary of living zones by its spatial hierarchy, using the 2010 household travel survey data and the community detection technique. Community detection technique, one of the social network analysis methods, is a useful tool to analyze interconnected relationships between network nodes. Applying this technique, we propose a scientific method to determine the boundaries of living zones using the origin-destination trip matrices by travel characteristics. In our research, we consider the travel purpose, travel time and trip modes as travel characteristics. The results of our study indicate that we can identify the living zones of metropolitan area from daily living zones to regional living zones through the community detection technique. Furthermore, we also identify that the spatial boundaries of living zones does not exactly match with the existing administrative borders, when taking account of the actual movements of people’s activities. This study contributes to the development of spatial planning boundaries in urban and regional planning, providing the designation method of the living zones by spatial hierarchy in the metropolitan area.
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