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Disaster resilience

measurement: data for science and practice

Finn Laurien

EGU, Vienna, 2019

NH9.11: 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 Szoenyi

(2)

What 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. 2017

In other words, a community has resilience if its development

continues despite flood occurring.

Development Wellbeing Disasters

Disaster-development system

(3)

Why 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 risks

Zurich Flood Resilience Alliance

3 Source: Zurich Alliance

(4)

Conceptual framework of measuring community flood resilience (FRMC)

Sources of resilience

Post-flood outcomes

Community flood resilience

Flood event

Learning cycle

(5)

Operationalization of the FRMC framework:

How do we measure flood resilience?

FRMC: Flood Resilience Measurement Tool for Communities resilient communities

non-resilient communities

Source: IFRC

Zurich Flood Resilience Alliance 5

FRMC(T1) FRMC(T2)

(6)

FRMC framework with 44 sources

The Five Capitals

Human (9):

knowledge,

education, skills, health

Social (11):

social relationships and networks, bonds aiding cooperative action, links facilitating exchange of and access to ideas and

resources Financial (7):

level, variability, and diversity of income sources and access

to other financial resources that contribute to wealth

Physical (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 livelihoods

(7)

FRMC data collection process

7

Source: Laurien et al (under review)

(8)

FRMC application communities –

“study sites”

Source: ZFRA

Phase 1: 118 community in 9 countries Phase 2: 72 communities in 11 countries

Source: Zurich Alliance

(9)

FRMC findings

Zurich Flood Resilience Alliance 9

(10)

Practice perspective: impact of measurement

• 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

(11)

• 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 steps

Zurich Flood Resilience Alliance 11

Standardized user products: addressing the reliability challenge

Interactive tools to support share knowledge

across users (MS Yammer app)

(12)

User perspective

Supports holistic thinking on resilience

(13)

Resilience as dynamic functions

Zurich Flood Resilience Alliance 14

Multi-capital functionality

Cluster

characteristics

Weak dynamics Moderate dynamics Moderate dynamics Strong dynamics

Highest correlation

Financial & Social

(.38*)

Financial & Physical

(.57***)

Natural & Physical

(-.58***)

Financial & Natural

(.84***)

2nd highest

correlation No significant correlation

Social & Human

(.49 ***)

Social & Human

(.57***)

Financial & Human

(.77***)

3rd highest correlation

No significant correlation Financial & Social

(.36***)

Physical & Social

(.54***)

Financial & Social (0.7***)

(14)

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.

Enhancing the knowledge base and raising awareness

Study site in Java, Indonesia. Photo: Mercy Corps Indonesia

(15)

Thank you!

For more information contact Finn Laurien

laurien@iiasa.ac.at

16

Or visit

https://floodresilience.net/

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