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Resilience is a key driver for planning adaptation strategies to mitigaterisks due to both natural and anthropogenic hazards. The effectiveness of aresilience-driven decision-making strategy for adapting systems againststressors depends on how resilience is mapped to decision variables. Thisrequires a functional resilience metric, without which it would not be possibleto identify the priority needs for improvement, assess changes, or showimprovement in post-adaptation resilience. In this paper, we aim to contributeto existing methodologies by proposing a novel model-based resilienceassessment strategy while building on the notion of composite resilienceindicators. Our proposed indicator is functional, reproducible, and is mappedto adaptation decisions. We propose a framework for integrating the developedresilience functional form into an adaptation decision-making model. Toillustrate our approach, we use a case study on assessing resilience of On-SiteWastewater Treatment and Disposal Systems (OSTDS) exposed to risks due tosea-level rise.

A Novel Composite Resilience Indicator for Decentralized Infrastructure Systems (CRI-DS)