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A Spatial Analysis of Shelter Capacity Using Floating Population
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 Title & Authors
A Spatial Analysis of Shelter Capacity Using Floating Population
Kim, Mi-Kyeong; Kang, Sinhye; Kim, Sang-Pil; Sohn, Hong-Gyoo;
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 Abstract
Seoul, a mega city, contains many features of the modern city. When the disaster or emergency occurs in Seoul, the place for shelter is required for evacuation urgently. There are currently the numbers of shelters in Seoul City, which can hold the twice more capacity of population of Seoul. However, the population distribution fluctuation in the day and the night needs to be considered. Therefore, in order to analyze the actual capacity of shelter, it is necessary to consider the dynamic characteristics of population distribution in the metropolitan area. In the study, the substantial accessibility and the capacity of shelters in Seoul were analyzed by the floating population data of the metropolitan area. The accessibility of shelter was investigated through a network analysis that includes the pedestrian road data, while the capacity of shelter was analyzed by the local differences of daytime population distributions. Finally it was possible to identify the vulnerable areas on the basis of the distribution of shelter in the region.
 Keywords
Shelter;Floating Population;Daytime Population;Network Analysis;Vulnerable Area;
 Language
Korean
 Cited by
 References
1.
Byun, M. and Seo, U. (2011), How to measure daytime population in urban streets?: Case of Seoul pedestrian flow survey, Journal of the Korean Association for Survey Research, Vol. 12, No. 2, pp. 27–50. (in Korean).

2.
Choi, J. and Joo, S. (2014), GIS spatial analysis base on the distribution characteristics and location suitability of emergency evacuation in Cheongju, Regional Policy Research, Vol. 25, No. 1, pp. 109–120. (in Korean).

3.
Yu, H. (2015), Men in Gangnam for drink, women in Gangbuk for taste, news.chosun.com, http://news.chosun.com/site/data/html_dir/2015/02/10/2015021000456.html(last date accessed: 20 September 2015).

4.
E-Nara index (2015), Occurrences of natural disaster and human disaster, Statistics Korea, http://www.index.go.kr/potal/main/EachDtlPageDetail.do?idx_cd=1627 (last date accessed: September 2015).

5.
Eun, K.-S. (2001), Social stratification of the great Seoul area: A comparative study using two types of population, Korea Journal of Population Studies, Vol. 24, No. 1, pp. 41–65. (in Korean).

6.
Jung, Y.-J. and Lee, J.-H. (2013), Research on the present condition of the shelter spaces in preparation against natural and other disasters - focused on the Seongbuk-gu district, Proc. of Architectural Institute of Korea, Vol. 33, No. 1, pp. 7–8. (in Korean).

7.
Kang, S. (2015), A Study on the Selection of Vulnerable Area for Disaster Shelter Using Network Analysis, Master's thesis, Yonsei University, Seoul, Korea, 49p. (in Korean).

8.
Kim, H.-T. (2009), The impacts of jobs-housing balance on commuting (1990-2005) - focused on the capital region in Korea, Journal of Korea Planning Association, Vol. 44, No. 7, pp. 171–184. (in Korean).

9.
Lee, H. and Sung, M. (2013), GIS based analysis for the capacity of emergency evacuation shelters in Cheonan - focused on class-2 shelters in old downtown, Journal of the Korea Academia-Industrial, Vol. 14, No. 9, pp. 4572–4579. (in Korean). crossref(new window)

10.
Lee, S.H., Goo, S.H., Chun, Y.W., and Park, Y.J. (2015), The spatial location analysis of disaster evacuation shelter for considering resistance of road slope and difference of walking speed by age – case study of Seoul, Korea, Journal of the Korean Society for Geospatial Information System, Vol. 23, No. 2, pp. 69–77. (in Korean).

11.
Ma, S. and Kim, H. (2011), Accessibility to welfare facilities for the aged through GIS network analysis : focused on inland areas in Incheon, The Korea Spatial Planning Review, Vol. 70, pp. 61–75. (in Korean). crossref(new window)

12.
NDIC (2015), Status of Civil Defense Shelters, National Disaster Information Center, http://www.safekorea.go.kr/dmtd/contents/civil/est/EmgnEqupList.jsp?q_menuid=M_NST_SVC_03_04_01 (last date accessed: 20 September 2015).

13.
NDMI (2014), Technology development of integrated shelter management and evacuee support in shelter, National Disaster Management Institute. (in Korean).

14.
Park, D.H., Kang, I.J., Kim, S.S., and Han, K.B. (2011), The selection of disaster shelter using network analysis, Proc. of the Korean Society for Geo-Spatial Information System, No. 5, pp. 171–172. (in Korean).

15.
Park, J.K. and Kim, D.M. (2012), Analysis of shelter service areas according to walking speed using network analysis, Journal of the Korean Society for Geospatial Information System, Vol. 20, No. 4, pp. 37–44. (in Korean).

16.
SODP (2015), Status of shelters for natural disaster, Seoul Open Data Plaza, Seoul, http://data.seoul.go.kr/openinf/sheetview.jsp?infId=OA-1184&tMenu=11 (last date accessed: 20 September 2015). (in Korean).

17.
Son, S.R. and Yoo, H.H. (2013), Evacuation suitability assessment of shelters in disaster risk districts of Changwon city, Journal of the Korean Society for Geospatial Information System, Vol. 21, No. 3, pp. 27–35. (in Korean).

18.
Yoo, H.H. and Son, S.R. (2012). Suitability assessment for flood disaster shelters of Jinju city, Journal of the Korean Society for Geospatial Information System, Vol. 20, No. 3, pp. 91–99. (in Korean).

19.
Yu, W., Kim, Y.C., and Kim, T.H. (2005), Selection of appropriate location for the disaster relief shelter in the city, Proc. of Korea Planning Association, Korea Planning Association, 4-5 November, Seoul, Korea, pp. 171-184. (in Korean).