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Article

Dry Sanitation Technologies: Developing a Simplified Multi-Criteria Decision Analysis Tool

by
Margarida Fidélis Santos
1,*,
Carolina Pires Castro
1,
Rita Ventura Matos
2,
Liliana Alves
1,3 and
José Saldanha Matos
1,2
1
Civil Engineering Research and Innovation for Sustainability (CERIS), Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal
2
Hidra, Hidráulica e Ambiente, Av. Defensores de Chaves, 31–1° Esq., 1000-111 Lisboa, Portugal
3
National Water Directorate (DNA) of Angola, Condominium Dolce Vita, Building 1D, 6th Floor, Luanda, Angola
*
Author to whom correspondence should be addressed.
Sustainability 2023, 15(19), 14155; https://doi.org/10.3390/su151914155
Submission received: 29 July 2023 / Revised: 14 September 2023 / Accepted: 19 September 2023 / Published: 25 September 2023
(This article belongs to the Section Sustainable Urban and Rural Development)

Abstract

Safely managed sanitation is indispensable for societies to ensure public health, environmental protection, and economic and social development. This could be achieved, in large areas of the world, through dry sanitation systems. Dry sanitation systems are especially used in water-scarce regions and low-income households. In dense peri-urban areas, the achievement of safe sanitation necessitates a comprehensive fecal sludge management (FSM) service chain, surpassing the mere provision of latrines. This research introduces an automatic Multi-Criteria Decision Analysis (MCDA) approach, which focuses on the particular interface/storage stage of the FSM service chain. The tool aims to support the decision-making process and may be especially useful in the early stages of sanitation planning as it compares different technologies with potential application in low-income countries. It includes different criteria and parameters for the Social, Economic, Technical, and Environmental dimensions of dry sanitation options (SETEds), being adaptable to different contexts and to different priorities. The main key strengths of the tool were found to be its minimal data requirements and ability to customize operation and maintenance cost parameters. These features are particularly relevant in data-scarce contexts, where traditional models may lead to unreliable recommendations or lack of solution ownership by users. The tool was applied to the Ambriz case study, a coastal town in Northern Angola, in West Africa. The obtained results are analyzed and show the tool’s application provides technology recommendations aligned with the site and community characteristics.
Keywords: decision support model; dry sanitation; low-income countries; multi-criteria analysis; on-site sanitation decision support model; dry sanitation; low-income countries; multi-criteria analysis; on-site sanitation

Share and Cite

MDPI and ACS Style

Santos, M.F.; Castro, C.P.; Matos, R.V.; Alves, L.; Matos, J.S. Dry Sanitation Technologies: Developing a Simplified Multi-Criteria Decision Analysis Tool. Sustainability 2023, 15, 14155. https://doi.org/10.3390/su151914155

AMA Style

Santos MF, Castro CP, Matos RV, Alves L, Matos JS. Dry Sanitation Technologies: Developing a Simplified Multi-Criteria Decision Analysis Tool. Sustainability. 2023; 15(19):14155. https://doi.org/10.3390/su151914155

Chicago/Turabian Style

Santos, Margarida Fidélis, Carolina Pires Castro, Rita Ventura Matos, Liliana Alves, and José Saldanha Matos. 2023. "Dry Sanitation Technologies: Developing a Simplified Multi-Criteria Decision Analysis Tool" Sustainability 15, no. 19: 14155. https://doi.org/10.3390/su151914155

APA Style

Santos, M. F., Castro, C. P., Matos, R. V., Alves, L., & Matos, J. S. (2023). Dry Sanitation Technologies: Developing a Simplified Multi-Criteria Decision Analysis Tool. Sustainability, 15(19), 14155. https://doi.org/10.3390/su151914155

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