Multi-criteria location planning for public facilities in tsunami-prone coastal areas

被引:112
作者
Doerner, Karl F. [1 ]
Gutjahr, Walter J. [2 ]
Nolz, Pamela C. [1 ]
机构
[1] Univ Vienna, Dept Business Adm, A-1210 Vienna, Austria
[2] Dept Stat & Decis Support Syst, A-1010 Vienna, Austria
基金
奥地利科学基金会;
关键词
Multi-objective combinatorial optimization; Locational analysis; Genetic algorithm; Disaster recovery planning; CASUALTY COLLECTION POINTS; METAHEURISTICS; OPTIMIZATION; ALGORITHM;
D O I
10.1007/s00291-008-0126-7
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
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.
引用
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页码:651 / 678
页数:28
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