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Pre-selecting appropriate sanitation system options as an input into urban sanitation planning

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conference contribution
posted on 2018-11-14, 11:47 authored by Dorothee Spuhler, Christoph Luthi
Structured decision making (SDM) frameworks such as CLUES and Sanitation21 support urban sanitation planning by prioritizing decision objectives, identifying decision options, quantifying consequences, clarifying trade-offs, and balancing for opposing stakeholder preferences. However, current research focusses on the selection of a preferred option, assuming that the options to choose from are already known. Given the growing number of sanitation technology and system configurations, as well as the multiple criteria that those should fulfil, providing a good set of decision options is far from trivial. In this paper we present an approach for the pre-selection of locally appropriate sanitation system options that: (1) is systematic and therefore transparent; (2) is based on stakeholder objectives, thus increasing ownership; (3) can deal with a large number of both conventional and novel options opening up the decision space; and (4) considers uncertainties related to novel technologies and the local conditions.

Funding

This work is funded by the Sawiris Foundation for Social Development through the Engineering for Development (E4D) programme of the Swiss Federal Institute for Technology (ETH) Zurich.

History

School

  • Architecture, Building and Civil Engineering

Research Unit

  • Water, Engineering and Development Centre (WEDC)

Published in

Transformation towards sustainable and resilient WASH services: Proceedings of the 41st WEDC International Conference

Pages

? - ? (7)

Citation

SPUHLER, D. and LUTHI, C., 2018. Pre-selecting appropriate sanitation system options as an input into urban sanitation planning. IN: Shaw, R.J. (ed). Transformation towards sustainable and resilient WASH services: Proceedings of the 41st WEDC International Conference, Nakuru, Kenya, 9-13 July 2018, Paper 2885, 7 pp.

Publisher

© WEDC, Loughborough University

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2018

Notes

This is a conference paper.

Language

  • en

Location

Nakuru, Kenya

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    WEDC 41st International Conference

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