Skip to main content

Advertisement

Log in

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

  • Regular Article
  • Published:
OR Spectrum Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Altay N and Green WG (2007). OR/MS research in disaster operations management. Eur J Oper Res 175: 475–493

    Article  Google Scholar 

  • Chalmet LG, Lemonidis L and Elzinga DJ (1986). An algorithm for the bi-criterion integer programming problem. Eur J Oper Res 25: 292–300

    Article  Google Scholar 

  • Collette Y and Siarry P (2005). Three new metrics to measure the convergence of metaheuristics towards the Pareto frontier and the aesthetic of a set solutions in biobjective optimization. Comput Oper Res 32(4): 773–792

    Article  Google Scholar 

  • Czyzak P and Jaszkiewicz A (1996). A multiobjective metaheuristic approach to the localization of a chain of petrol stations by the capital budgeting model. Control Cybernet 25(1): 177–187

    Google Scholar 

  • Dalal J, Mohapatra PKJ and Mitra GC (2007). Locating cyclone shelters: a case. Disaster Prevent Manage 16(2): 235–244

    Article  Google Scholar 

  • Deb K (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evolut Comput 6(2): 182–197

    Article  Google Scholar 

  • Drezner Z (1995). On the conditional p-median problem. Comput Oper Res 22(5): 525–530

    Article  Google Scholar 

  • Drezner T (2004). Location of casualty collection points. Environ Plann C Govern Policy 22: 899–912

    Article  Google Scholar 

  • Drezner T, Drezner Z and Salhi S (2006). A multi-objective heuristic approach for the casualty collection points location. J Oper Res Soc 57(6): 727–734

    Article  Google Scholar 

  • Drezner T (2007) Casualty collection points: number and population covered. In: Proceedings of the southwest Decision Sciences Institute 38th annual meeting, pp 426–433

  • Ehrgott M and Gandibleux X (2004). Approximative solution methods for multiobjective combinatorial optimization. Top 12(1): 1–63

    Article  Google Scholar 

  • Fiorucci P, Gaetani F, Minciardi R and Trasforini E (2005). Natural risk assessment and decision planning for disaster mitigation. Adv Geosci 2: 161–165

    Article  Google Scholar 

  • Gutjahr WJ (2005) Two metaheuristics for multiobjective stochastic combinatorial optimization. In: Proc. SAGA 2005 (Stochastic Algorithms: foundations and applications). Springer LNCS, vol 3777, pp 116–125

  • House of Hope: 5000 Euro for the children at Tangalle, http://en.houseofhope.de/de;projects-sri-lanka;d:459.htm, February 12, 2007.

  • Institute for Integrative Conflict Transformation and Peace Building, http://www.iicp.at/, February 12, 2007.

  • Jaszkiewicz A (2004) Evaluation of multiple objective metaheuristics. In: Gandibleux X et al. (eds) Metaheuristics for multiobjective optimization. Springer, Berlin, pp 66–89

  • Kaistrenko V, Pinegina T: A Tsunami hazard parameter for Zhupanovo, Kamchatka, calculated using Historical and Paleotsunami Data. In: ITS 2001 Proceedings, Session 1, Number 1 – 11, pp 349–354

  • Kongsomsaksakul S, Yang C and Chen A (2005). Shelter location-allocation model for flood evacuation planning. J Eastern Asia Soc Transp Stud 6: 4237–4252

    Google Scholar 

  • Marianov V, ReVelle C (1995) Siting emergency services. In: Drezner Z (ed) Facility location: a survey of applications and methods, pp 199–244

  • Schott JR (1995) Fault tolerant design using single and multicriteria genetic algorithm optimization. Master’s thesis, Department of Aeronautics and Astronautics, MIT, Cambridge

  • Stirn W (1996) Katastrophenhilfe in Entwicklungslaendern: Effizienzpotentiale der Deutschen Auslandshilfe. Lit Verlag, Hamburg

  • Ulungu EL, Teghem J, Fortemps P and Tuyttens D (1999). MOSA method: a tool for solving multiobjective combinatorial optimization problems. J Multi-Criteria Decis Anlays 8: 221–236

    Article  Google Scholar 

  • Van Veldhuizen DA (1999) Multiobjective evolutionary algorithms: classifications, analyses, and new innovations. Ph.D. thesis, Department of Electrical and Computer Engineering, Graduate School of Engineering, Air Force Institute of Technology, Wright-Patterson AFB, Ohio

  • Vincke P (1992). Multicriteria decision-aid. Wiley, Chichester

    Google Scholar 

  • Yi W and Özdamar L (2007). A dynamic logistics coordination model for evacuation and support in disaster response activities. Eur J Oper Res 179: 1177–1193

    Article  Google Scholar 

  • Zitzler E and Thiele L (1999). Multiple objective evolutionary algorithms: a comparative case study and the strength of the pareto approach. IEEE Trans Evolut Comput 3(4): 257–271

    Article  Google Scholar 

  • Zitzler E, Thiele L, Laumanns M, Fonseca CM and da Fonseca VG (2003). Performance assessment of multiobjective optimizers: an analysis and review. IEEE Trans Evolut Comput 7(2): 117–132

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Walter J. Gutjahr.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Doerner, K.F., Gutjahr, W.J. & Nolz, P.C. Multi-criteria location planning for public facilities in tsunami-prone coastal areas. OR Spectrum 31, 651–678 (2009). https://doi.org/10.1007/s00291-008-0126-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00291-008-0126-7

Keywords

Navigation