Fuzzy logic based decision support for mass evacuations of cities prone to coastal or river floods |
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Affiliation: | 1. Department of Mathematics and Statistics, The University of Melbourne, Parkville 3010 VIC, Australia;2. Department of Geography, University of Zurich, Winterthurerstrasse 190, Zurich 8057, Switzerland;3. Centre for Technology Infusion, La Trobe University, 2 Research Ave, Bundoora 3086 VIC, Australia;4. Department of Infrastructure Engineering, The University of Melbourne, Parkville 3010 VIC, Australia |
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Abstract: | Facing climate change and more frequent extreme weather conditions, coastal floods and inundations will become more severe. Evacuation can be an efficient solution to secure people's safety in a major disaster. The main difficulty in making an evacuation decision is the imprecise, incomplete and spatially varying nature of the crisis information. In this paper, a fuzzy-logic based method combined with Geographic Information System is proposed to analyze evacuation decision making scenarios. The method can handle qualitative and quantitative data at the same time, avoid sudden changes of decisions affected by uncertainties, and evaluate the spatial necessity to evacuate to support evacuation decision making. The method has been tested at the city of Bordeaux in France. The maps produced representing the need to evacuate can help decision makers better understand evacuation decision situation in terms of local impacts and crisis management anticipation. |
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Keywords: | Evacuation Fuzzy logic Decision support Flooding Geographic information system |
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