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Designing a Water Supply Network for Slums in Rio de Janeiro Using Mixed-Integer Programming

In: Operations Research Proceedings 2018

Author

Listed:
  • Marvin Meck

    (Technische Universität Darmstadt)

  • Lea Rausch

    (Technische Universität Darmstadt)

  • John Friesen

    (Technische Universität Darmstadt)

  • Michael Wurm

    (Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR))

  • Hannes Taubenböck

    (Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR))

  • Lena Altherr

    (Technische Universität Darmstadt)

  • Peter F. Pelz

    (Technische Universität Darmstadt)

Abstract

UN Sustainability Development Goal No. 6 aims at ensuring access to water and sanitation for all people by 2030. We address this goal in a multidisciplinary approach by applying mathematical optimisation methods to design optimal water supply systems for underserved areas, such as living environments of the urban poor, which are not integral part of the formal city. Hereby, we use remote sensing data to spatially localise the underserved areas operationalised by typical morphologic indicators for slum areas. With it, slum sizes and locations are spatial information available as input data for the decision problem. This problem is modelled as a MIP and chooses between different approaches combining supply by motorised vehicles with installed pipe systems while minimising overall costs. The solution of this MIP, the design of a low-cost water supply network, is presented and analysed for a slum cluster in Rio de Janeiro.

Suggested Citation

  • Marvin Meck & Lea Rausch & John Friesen & Michael Wurm & Hannes Taubenböck & Lena Altherr & Peter F. Pelz, 2019. "Designing a Water Supply Network for Slums in Rio de Janeiro Using Mixed-Integer Programming," Operations Research Proceedings, in: Bernard Fortz & Martine Labbé (ed.), Operations Research Proceedings 2018, pages 347-354, Springer.
    • Handle: RePEc:spr:oprchp:978-3-030-18500-8_43
    DOI: 10.1007/978-3-030-18500-8_43
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