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An Optimisation Model to Consider the NIMBY Syndrome within the Landfill Siting Problem

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  • Mariano Gallo

    (Dipartimento di Ingegneria, Università del Sannio, piazza Roma 21, 82100 Benevento, Italy)

Abstract

This paper proposes a discrete optimisation model and a heuristic algorithm to solve the landfill siting problem over large areas. Besides waste transport costs and plant construction and maintenance costs, usually considered in such problems, the objective function includes economic compensation for residents in the areas affected by the landfill, to combat the NIMBY (Not In My Back Yard) syndrome or, at least, reduce its adverse effects. The proposed methodology is applied to a real-scale case study, the region of Campania, Italy, where waste management is a thorny problem. Numerical results show that the proposed algorithm may be used to obtain a solution to the problem, albeit sub-optimal, with acceptable computing times, and the proposed model tends to locate landfills in sparsely populated sites.

Suggested Citation

  • Mariano Gallo, 2019. "An Optimisation Model to Consider the NIMBY Syndrome within the Landfill Siting Problem," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:14:p:3904-:d:249347
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    3. Marcelo Alves de Souza & Juliana Teixeira Gonçalves & William Azalim do Valle, 2023. "In My Backyard? Discussing the NIMBY Effect, Social Acceptability, and Residents’ Involvement in Community-Based Solid Waste Management," Sustainability, MDPI, vol. 15(9), pages 1-24, April.
    4. Karol Tucki & Olga Orynycz & Remigiusz Mruk & Antoni Świć & Katarzyna Botwińska, 2019. "Modeling of Biofuel’s Emissivity for Fuel Choice Management," Sustainability, MDPI, vol. 11(23), pages 1-22, December.
    5. Escavy, J.I. & Herrero, M.J. & Lopez-Acevedo, F. & Trigos, L., 2022. "The progressive distancing of aggregate quarries from the demand areas: Magnitude, causes, and impact on CO2 emissions in Madrid Region (1995–2018)," Resources Policy, Elsevier, vol. 75(C).
    6. Yulong Chen & Zhizhu Lai & Zheng Wang & Dongyang Yang & Leying Wu, 2021. "Optimizing locations of waste transfer stations in rural areas," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-23, May.

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