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A Framework for Shelter Location Decisions by Ant Colony Optimization
Hossein Baharmand
author
Tina Comes
author
2015
University of Agder (UiA)
Kristiansand, Norway
English
Earthquakes frequently destroy the homes and livelihoods of thousands. One of the most important concerns after an earthquake is to find a safe shelter for the affected people. Because of large numbers of potential locations, the multitude of constraints (e.g. access to infrastructures; security); and the uncertainty prevailing (e.g., number of places required) the identification of optimal shelter locations is a complex problem. Nevertheless, rapidly locating shelters and transferring the affected people to the nearest shelters are high priority in crisis situations. In this paper, we develop a framework based on Ant Colony Optimization (ACO) to support decisions-makers in the response phase. Using the same framework, we also derive recommendations for urban planning in the preparedness phase. We demonstrate our method with a case focusing on the city of Kerman, in Iran.
Ant Colony Optimization
Crisis Management
Location Decision
Shelter Planning
exported from refbase (http://idl.iscram.org/show.php?record=1292), last updated on Tue, 10 Nov 2015 04:20:11 +0100
text
http://idl.iscram.org/files/hosseinbaharmand/2015/1292_HosseinBaharmand+TinaComes2015.pdf
HosseinBaharmand+TinaComes2015
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
ISCRAM 2015
L. Palen
editor
M. Buscher
editor
T. Comes
editor
A. Hughes
editor
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
2015
University of Agder (UiA)
Kristiansand, Norway
conference publication
9788271177881
2411-3387
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