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Lessons Learned from Measuring Flood Resilience

This working paper collates lessons learnt from the application of the Flood Resilience Measurement for Communities (FRMC) in 118 communities in nine different countries during the first phase of the Zurich Flood Resilience Alliance (ZFRA) between 2013 and 2018. ZFRA has identified the measurement of resilience as a valuable ingredient in building community flood resilience. We find that at the community level, the FRMC enables users to track community progress on resilience over time in a standardized way. It thus provides vital information for the decision-making process in terms of prioritizing the resilience-building measures most needed by the community. At community and higher decision-making levels, measuring resilience also provides a basis for improving the design of innovative investment programs to strengthen disaster resilience. By exploring data across multiple communities (facing different flood types and with very different socioeconomic and political contexts), we can generate evidence with respect to which characteristics contribute most to community disaster resilience before an event strikes. This contributes to meeting the challenge of demonstrating that the work we do has the desired impact – that it actually builds resilience. No general measurement framework for disaster resilience has been empirically verified yet , but the FRMC framework has been developed to eventually generate the data needed to demonstrate empirically which ex-ante measures are most effective for communities. Our findings suggest that stronger interactions between community functions induce co-benefits among the five capitals, thus providing evidence for a virtuous cycle type effect where higher resilient capacity in one capital fosters the community’s capacity for resilience in other capitals.
Author: Laurien, Finn; Keating, Adriana; Mechler, Reinhard; Etienne, Emilie; Velev, Stefan; Szcoenyi, Michael; McQuistan, Colin; Ianni, Francisco; Campbell, Karen
Language: English
Pubished By: IIASA
Pubished date: September 2019

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