Keating, A.

Laurien, F.

Szoenyi, M.

International Institute for Applied Systems Analysis (IIASA)

Disaster resilience measurement: data for science and practice Finn LaurienEGU, Vienna, 2019NH9.11: Methods and Tools for Natural Risk Management and Communications – Innovative ways of delivering information to end users and sharing data among the scientific community Co-authors: Adriana Keating and Michael SzoenyiWhat is disaster resilience?“The ability of a system, community or society to pursue its social, ecological and economic development objectives, while managing its disaster risk over time in a mutually reinforcing way.”Keating et al. 2017Zurich Flood Resilience Alliance2In other words, a community has resilience if its development continues despite flood occurring.DevelopmentWellbeingDisastersDisaster-development systemWhy resilience to flooding?Floods affect more people globally than any other types of disaster (CRED, 2017)And the situation is getting worse (IPCC, 2014)• Increasing population, urbanization, and economic development in hazard prone areas• Increasing trends of loss of life and economic and insured losses due to floods• Increasingly interconnected and interdependent flood risksZurich Flood Resilience Alliance3 Source: Zurich AllianceConceptual framework of measuring community flood resilience (FRMC)Zurich Flood Resilience Alliance4Sources of resilience Post-flood outcomesCommunity flood resilienceFlood eventLearning cycleOperationalization of the FRMC framework: How do we measure flood resilience?FRMC: Flood Resilience Measurement Tool for Communitiesresilient communitiesnon-resilient communities Source: IFRCZurich Flood Resilience Alliance5FRMC(T1) FRMC(T2)FRMC framework with 44 sourcesThe Five CapitalsHuman (9): knowledge, education, skills, healthSocial (11): social relationships and networks, bonds aiding cooperative action, links facilitating exchange of and access to ideas and resourcesFinancial (7): level, variability, and diversity of income sources and accessto other financial resources that contribute to wealthPhysical (12): things produced by economic activity from other capital, such as infrastructure, equipment, improvements in crops, livestock, etc.Natural (5): the natural resource base, including land productivity and actions to sustain it, as well as water and other resources that sustain livelihoodsZurich Flood Resilience Alliance6FRMC data collection process7Source: Laurien et al (under review)FRMC application communities –“study sites”Zurich Flood Resilience Alliance8Source: ZFRAPhase 1: 118 community in 9 countries Phase 2: 72 communities in 11 countries (estimated; potential for scaling up)Source: Zurich AllianceFRMC findingsZurich Flood Resilience Alliance9Practice perspective: impact of measurement10• Holistic and integrated thinking (systems thinking) within organisations, amongst stakeholders and community members.• Connecting the dots – with a common DRR strategy that goes beyond first aid courses or physical defences• Brought diverse stakeholders to the table.• Standardised and quantified metric for tracking investments.User data cockpit• F2F Training session on three continents.• Guidance for FRMC methodology and implementation• User guide for web application• User guide for field workers (Android & iOS App)• Webinar sessions with extended user feedback• Guidance material for data analysis • F2F workshop to discuss data analysis and next stepsZurich Flood Resilience Alliance11Standardized user products: addressing the reliability challengeInteractive tools to support share knowledge across users (MS Yammer app)User perspective Zurich Flood Resilience Alliance12Supports holistic thinking on resilienceResilience as dynamic functionsZurich Flood Resilience Alliance14Multi-capitalfunctionalityCluster characteristicsWeak dynamics Moderate dynamics Moderate dynamics Strong dynamicsHighest correlationFinancial & Social (.38*)Financial & Physical (.57***)Natural & Physical         (-.58***)Financial & Natural (.84***)2nd highest correlationNo significant correlationSocial & Human  (.49 ***)Social & Human (.57***)Financial & Human (.77***)3rd highest correlationNo significant correlationFinancial & Social (.36***)Physical & Social (.54***)Financial & Social (0.7***)Impact of measurement at community and program level• Fostering integrated thinking (systems thinking) within organisations, amongst stakeholders and community members.• Connecting the dots – with a common DRR strategy that goes beyond first aid courses or physical defences.• Standardised metric for tracking investment and finding solutions.Empirical findings • Community programs find “hidden” spots beyond their daily community work.• Typology to support cluster-specific best-practice examples together with community programs.• Community typology can build evidence for innovative disaster risk finance portfolios.Zurich Flood Resilience Alliance15Enhancing the knowledge base and raising awarenessStudy site in Java, Indonesia. Photo: Mercy Corps IndonesiaThank you!For more information contactFinn Laurienlaurien@iiasa.ac.at16Or visithttps://floodresilience.net/

Disaster resilience measurement: data for science and practice

http://pure.iiasa.ac.at/id/eprint/15841/1/Laurien%20EGU%20presentation.pdf

Disaster resilience measurement: data for science and practice

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