재난 대응을 위한 GIS 기반 장기 거주형 임시주거시설 입지 선정 연구 - 재해위험지수와 장기거주지수를 중심으로
Purpose: This study aims to develop a systematic approach for selecting optimal sites for long-term temporary housing using Geographic Information System (GIS) analysis. As disaster recovery periods extend, victims are often forced to stay in inadequate temporary housing for prolonged durations. How...
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Published in | KIEAE Journal, 25(3) pp. 37 - 44 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | Korean |
Published |
한국생태환경건축학회
01.06.2025
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Subjects | |
Online Access | Get full text |
ISSN | 2288-968X 2288-9698 |
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Summary: | Purpose: This study aims to develop a systematic approach for selecting optimal sites for long-term temporary housing using Geographic Information System (GIS) analysis. As disaster recovery periods extend, victims are often forced to stay in inadequate temporary housing for prolonged durations. However, these facilities are not designed for long-term residence, and the lack of standardized site selection criteria leads to inefficient placements, compromising safety and accessibility. This study addresses these issues by integrating disaster risk factors and residential suitability indicators. Method: A GIS-based spatial analysis was conducted in Gangneung City, a disaster-prone region. Three key factors—fundamental site conditions, disaster risk indices, and long-term residential suitability indices—were analyzed using public data. A spatial overlay and raster-based analysis were applied to visualize the optimal locations. Result: The analysis identified 16 optimal sites (Grade 1) and 43 viable alternatives (Grade 2) for long-term temporary housing. Public land, such as vacant lots and parking areas, proved most suitable due to its availability and low disaster risk. This study emphasizes the need for standardized site selection guidelines and highlights GIS-based analysis as a valuable tool in disaster resilience planning. KCI Citation Count: 0 |
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Bibliography: | http://dx.doi.org/10.12813/kieae.2025.25.3.037 |
ISSN: | 2288-968X 2288-9698 |