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A multiobjective modeling approach to locating incinerators

Author

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  • Alçada-Almeida, Luís
  • Coutinho-Rodrigues, João
  • Current, John

Abstract

The location of hazardous material incineration facilities is an important problem due to the environmental, social, and economic impacts that they impose. The costs associated with the facilities and the risks placed on nearby populations are important concerns as are the distributions of these costs and risks. This paper introduces a mixed-integer, multiobjective programming approach to identify the locations and capacities of such facilities. The approach incorporates a Gaussian dispersion model and a multiobjective optimization model in a GIS-based interactive decision support system that planners can access via the Internet. The proposed approach is demonstrated via a case study in central Portugal where the national government has decided to locate a large facility for the incineration of hazardous industrial waste. Due to intense local and national opposition, construction of the facility has been delayed. The system has been designed so that it can be used by decision makers with no special training in dispersion modeling, multiobjective programming, or GIS.

Suggested Citation

  • Alçada-Almeida, Luís & Coutinho-Rodrigues, João & Current, John, 2009. "A multiobjective modeling approach to locating incinerators," Socio-Economic Planning Sciences, Elsevier, vol. 43(2), pages 111-120, June.
  • Handle: RePEc:eee:soceps:v:43:y:2009:i:2:p:111-120
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    References listed on IDEAS

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    1. Robert E. Kohn, 1971. "Application of Linear Programming to a Controversy on Air Pollution Control," Management Science, INFORMS, vol. 17(10), pages 609-621, June.
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    8. Charles Revelle & David Marks & Jon C. Liebman, 1970. "An Analysis of Private and Public Sector Location Models," Management Science, INFORMS, vol. 16(11), pages 692-707, July.
    9. Marsh, Michael T. & Schilling, David A., 1994. "Equity measurement in facility location analysis: A review and framework," European Journal of Operational Research, Elsevier, vol. 74(1), pages 1-17, April.
    10. Antonio Moreno-Jiménez & Robert Lindsay Hodgart, 2003. "Modelling a single type of environmental impact from an obnoxious transport activity: implementing locational analysis with GIS," Environment and Planning A, Pion Ltd, London, vol. 35(5), pages 931-946, May.
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    Cited by:

    1. Coutinho-Rodrigues, João & Tralhão, Lino & Alçada-Almeida, Luís, 2012. "A bi-objective modeling approach applied to an urban semi-desirable facility location problem," European Journal of Operational Research, Elsevier, vol. 223(1), pages 203-213.
    2. Alan Murray, 2010. "Advances in location modeling: GIS linkages and contributions," Journal of Geographical Systems, Springer, vol. 12(3), pages 335-354, September.
    3. Eskandarpour, Majid & Dejax, Pierre & Miemczyk, Joe & Péton, Olivier, 2015. "Sustainable supply chain network design: An optimization-oriented review," Omega, Elsevier, vol. 54(C), pages 11-32.
    4. repec:wsi:ijitdm:v:16:y:2017:i:03:n:s0219622017500122 is not listed on IDEAS

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