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Author:

Liu, X. (Liu, X..) | Zhang, L. (Zhang, L..) | Zhen, J. (Zhen, J..) | Wang, W. (Wang, W..)

Indexed by:

Scopus

Abstract:

The aim of this study is to improve the medium-long term shelter space in old urban areas after earthquakes and enhance the benefits of emergency congregate shelter. In order to solve the problems of low evacuation efficiency, prominent evacuation disorder and unbalanced distribution of evacuation resources in old areas, this paper first develops a responsibility area dividing method of resident emergency congregate shelters based on the breaking point theory by considering the attraction relationship between shelter and evacuees in the emergency congregate shelter stage. Then the optimization schemes of congregate shelter space are obtained taking the attractiveness of the shelter as an entry point. Finally, the complex network theory is applied to construct an area evacuation network for comprehensive analysis. The research results show that the overall evacuation efficiency of the area can be significantly improved after optimizing the emergency congregate shelter space in the area, where the evacuation time can be optimized to 43 minutes. Furthermore, it is helpful not only to achieve a balanced supply and demand of shelter resources in the area after optimizing the scope of shelter responsibility according to the refuge attractiveness, but also effectively improve the overall emergency congregate shelter benefit. © 2023 Science Press. All rights reserved.

Keyword:

complex network disorder degree of attraction breaking point theory emergency congregate shelter

Author Community:

  • [ 1 ] [Liu X.]School of Science, Beijing University of Civil Engineering and Architecture, Beijing, 102616, China
  • [ 2 ] [Zhang L.]School of Civil Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, 102616, China
  • [ 3 ] [Zhen J.]School of Science, Beijing University of Civil Engineering and Architecture, Beijing, 102616, China
  • [ 4 ] [Wang W.]Faculty of Urban Construction, Beijing University of Technology, Beijing, 100124, China

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Source :

Journal of Natural Disasters

ISSN: 1004-4574

Year: 2023

Issue: 4

Volume: 32

Page: 139-147

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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