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Inclusive wealth, Resilience, Shadow prices, Sustainable development,

This paper develops a decision support framework that assists managers in the urban water industry to analyse a mix of water service options, at the whole-ofcity scale. The decision support framework moves decision-making in urban water systems from traditional command and control approaches that tend to focus on an outcome at a point in time to a more sustainable, inclusive and dynamic decisionmaking process driven by social learning and engagement. While available models and evaluation techniques provide valuable input to decision-making, the complex nature of urban water systems requires more than just social and economic criteria to be considered as part of decision support frameworks. The authors believe that current decision support frameworks need to be presented in a way that incorporates adaptive management and integrated urban water management strengths at the strategic and operational level. The inclusion of social learning and engagement is necessary to achieving this end.

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