빅데이터를 활용한 중소도시의 생활SOC 결핍지역 추출 연구 - 전라북도 익산시를 중심으로 -
A Study on the Extraction of Living SOC Deficient Areasin Small and Medium Cities Using Big Data - Focused on Iksan-si, Jeollabuk-do -
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초록
The purpose of this study is to extract deficiency areas as basic data of policies and projects in the future Living SOC introduction and planning. In order to extract living SOC deficient areas, accessibility data for living SOC and density data for main users by facility were overlapped, focusing on the living SOC indicators presented in the National Urban Regeneration Basic Policy. According to the analysis of accessibility of the Iksan-si Living SOC, the gap between deficiency in urban and township areas was large in common with the accessibility of the village and local base units. As a result of overlapping life SOC accessibility data and density data analysis of the main users by facility, areas where accessibility is weak but not inhabited by the main users of each facility were extracted. It is meaningful that more accurate deficient areas can be extracted by simultaneously utilizing the density distribution of the main users, rather than simply accessing the facilities.
Abstract
The purpose of this study is to extract deficiency areas as basic data of policies and projects in the future Living SOC introduction and planning. In order to extract living SOC deficient areas, accessibility data for living SOC and density data for main users by facility were overlapped, focusing on the living SOC indicators presented in the National Urban Regeneration Basic Policy. According to the analysis of accessibility of the Iksan-si Living SOC, the gap between deficiency in urban and township areas was large in common with the accessibility of the village and local base units. As a result of overlapping life SOC accessibility data and density data analysis of the main users by facility, areas where accessibility is weak but not inhabited by the main users of each facility were extracted. It is meaningful that more accurate deficient areas can be extracted by simultaneously utilizing the density distribution of the main users, rather than simply accessing the facilities.
참고문헌 (5)
- 강우석, "기초생활인프라시설 적정입지 선정에 관한 연구 : 서울시 광진구 지역을 중심으로", 박사, pp.2019
- 생활SOC 3개년계획(안) (2020-2022), "국무조정실 생활SOC추진단", ~ (2019)
- 양지환, "기초생활인프라 최저기준에 따른 보은군의 생활인프라 시설충족도 분석 및 유형화", 석사, pp.2020
- 조희은, "생활SOC의 범위 및 시설의 유형별ㆍ지역별 특성 연구 - 경기도 생활SOC 현황 및 개선방안을 중심으로", 도시설계, 20(5), pp.33~52 (2019), 한국도시설계학회[DOI]
- "국토정보플랫폼"[URL]
