Better understanding of the range of opportunities that can be leveraged from the sustainable and inclusive management of sanitation services is required, alongside the evidence to support it. The Sustainable Development Goals (SDGs) provide a comprehensive framework for sustainable development broken down into 169 Targets articulated under 17 interconnected Goals. Based on a methodology developed at University College London (UCL), this study identifies linkages between sanitation and each of the 169 Targets on the basis of published evidence. We show that there are synergies between sanitation and 130 (77%) of the Targets and trade-offs for 28 (17%) of the Targets. With synergies with all the 17 Goals we identified 83 Targets (49%) that call for action in the sanitation sector. The results demonstrate the far-reaching benefits that can be unlocked from investment in sanitation, which extend beyond health and spread across sectors. This seeks to provide the evidence base to inform strategic investment in sanitation and particularly by integrating sanitation interventions into collaborative cross-sectoral development efforts. The research provides different stakeholders, including policymakers, funders, practitioners and researchers, with a framework that can be applied to context specific cases and projects. We propose a range of recommendations to policy-makers, practitioners, and researchers who seek to take this study further to support delivery of sustainable and inclusive sanitation services for all.
Author and article information
UCL Open: Environment Preprint
] UCL EFID, CEGE
] UCL, DPU
] UCL, ISR
] UCL, CEGE
] UCL, Bartlett
] UCL, STEaPP
] UCL, UNSW
] Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health
This is an open access article distributed under the terms of the Creative Commons
Attribution License (CC BY) 4.0
https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution and reproduction in any medium, provided
the original author and source are credited.
Data availability: The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.