Multi-criteria location planning for public facilities in tsunami-prone coastal areas |
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Authors: | Karl F Doerner Walter J Gutjahr Pamela C Nolz |
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Affiliation: | (1) Department of Business Administration, University of Vienna, Bruenner Strasse 72, 1210 Vienna, Austria;(2) Department of Statistics and Decision Support Systems, Universitaetsstrasse 5/9, 1010 Vienna, Austria |
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Abstract: | We present a model for multi-objective decision analysis with respect to the location of public facilities as schools in areas
near to coasts, taking risks of inundation by tsunamis into account. A mathematical programming formulation with three objective
functions is given. The first objective function is a weighted mean of a minisum and a maximum coverage criterion. The second
objective function expresses risk by possible tsunami events; for quantifying this risk, a statistical model for tsunami occurrences
by Kaistrenko and Pinegina is applied. The third criterion represents costs. For the solution of the multi-objective optimization
problem, we propose a heuristic approach based on the NSGA-II algorithm and compare it with a decomposition technique where
the region under consideration is partitioned into smaller sub-regions, and the problem is solved for each separate subregion
either exactly or heuristically. Both approaches are tested on two real-life instances from southern Sri Lanka. |
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Keywords: | Multi-objective combinatorial optimization Locational analysis Genetic algorithm Disaster recovery planning |
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