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Intertemporal and Spatial Location of Disposal Facilities

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Abstract

The optimal capacity and location of a sequence of landfills are studied, and the interactions between both decisions are pointed out. Deciding the capacity of a landfill has some spatial implications, because it effects the feasible region for the rest of the landfills, and some temporal implications because the capacity determines the lifetime of the landfill and hence the instant of time where the next landfills will need to be constructed. Some general mathematical properties of the solution are provided and interpreted from an economic point of view. The resulting problem turns out to be nonconvex and, therefore, it can not be solved by conventional optimization techniques. Some global optimization methods are used to solve the problem in a particular case to illustrate the behavior of the solution depending on the parameter values.

Suggested Citation

  • Francisco J. André & Francisco Velasco & Luis González, 2004. "Intertemporal and Spatial Location of Disposal Facilities," Economic Working Papers at Centro de Estudios Andaluces E2004/74, Centro de Estudios Andaluces.
    • Handle: RePEc:cea:doctra:e2004_74
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    Cited by:

    1. Eiselt, H.A. & Marianov, Vladimir, 2014. "A bi-objective model for the location of landfills for municipal solid waste," European Journal of Operational Research, Elsevier, vol. 235(1), pages 187-194.
    2. Francisco J. André & Emilio Cerdá, 2005. "Gestión de residuos sólidos urbanos: Análisis económico y políticas públicas," Economic Working Papers at Centro de Estudios Andaluces E2005/23, Centro de Estudios Andaluces.

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    More about this item

    Keywords

    Landfilling; Optimal Capacity; Optimal Location; Global Optimization.;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • Q30 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - General
    • R53 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Public Facility Location Analysis; Public Investment and Capital Stock

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