Keiko SAITO, Daniel KULL, Robert SODEN, Abigail BACA World Bank, United States of America

1. World Bank-GFDRR activities on exposure
mapping-modelling
4th International Disaster and Risk Conference, Davos, 27 August 2012
Dr. Daniel Kull 1, Dr. Keiko Saito 1, Robert Soden 1 and Abigail Bacca 2
1: Global Facility for Disaster Reduction and Recovery (GFDRR),
The World Bank Group
2: East Asia and Pacific Region, The World Bank Group
Labs

2. Relevance of global exposure data modeling
for World Bank – GFDRR
WB involved in the following activities:
• Global Earthquake Model: Global effort to map the risk from
earthquakes worldwide. Open source model.
• CAPRA (multi hazard risk model): Open Source, originally
developed for Central and Latin American countries by LAC DRM
team, currently being implemented for South Asian countries.
• Global Assessment Report 2013 and 2015 (multi hazard risk
model): Lead by UN-ISDR, WB contributing to exposure model.
Discussions on strategy, on going for the 2015 model.
Labs

3. WB/GFDRR contribution for GAR 2015
• Strategy: Bottom-up approach?
– Incorporation of detailed exposure data from city, national
or sub-regional risk assessments, damage and loss
assessments and other relevant studies
– World Bank funded projects have generated exposure data
in the past:
• Take stock of what is available within WB
– Feasibility of incorporating these datasets into a global
mosaic
– Use of landuse/land cover datasets to infer underlying
exposure? Remote Sensing?
Labs

4. Examples of relevant WB funded projects
• At the Local scale (cities)
– Multi-Hazard Vulnerability Assessment in Ho Chi
Minh City (Vietnam) & Yogyakarta (Indonesia)
• In the framework of the EOWORLD initiative
– a collaboration between European Space Agency and the
World Bank which focuses on application of Earth Observation
(EO) based information to
planning, implementation, monitoring and assessment of the
World Bank projects
• Exposure data generated through project: urban area
(mapping of infrastructure and building
inventories), population, potential economic damage
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5. Ho Chi Minh City (Vietnam)
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7. Yogyakarta (Indonesia)
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9. Examples of relevant WB funded projects
• At the Local scale (cities)
– Assessing Vulnerability in the Metropolitan Area
of Rio de Janeio (Brazil)
• In the framework of the EOWORLD initiative
– a collaboration between European Space Agency and the
World Bank which focuses on application of Earth Observation
(EO) based information to
planning, implementation, monitoring and assessment of the
World Bank projects
• Exposure data generated through project: urban land
use (e.g., residential areas, roads, airports, ports, etc.)
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10. Rio de Janeiro (Brasil)
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12. Examples of exposure related WB projects
– Africa Energy Infrastructure
• Exposure data generated through project :
population, area, and power stations
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13. Example: Pacific islands Exposure Database
Project Generated exposure data: Complete
coverage of 15 countries. Population
distribution, 340,000 building footprints
(incl. building use and construction
classes), main infrastructure data
(e.g., roads, bridges, dams, ports, and
airports), utilities and major crops
Glassey et al. (2010)
Labs

14. Other examples of exposure related WB projects
• At the Regional scale
– Namibia flood risk mapping
• Exposure data generated through project : Mapping
with available economic values for housing, agricultural
lands and transport infrastructure (roads and
bridges), estimation of replacement costs per unit or
lost production per unit area for different type of crops
and livestock and calculation of damages for different
levels of flood
– Mozambique disaster risk management
• Exposure data generated through project : Risk
mapping of vulnerable assets in key sectors and
participatory urban disaster risk management
– Yemen, Morocco etc…
Labs

15. Example of use of exposure data by EAP/GFDRR:
OpenDRI Indonesia – Tools for Decision Makers
InaSAFE Software (QGIS plug-in): Scenario Assessment for Emergencies
•Get the best available
science and data to bear on
disaster management
decisions.
•Make it easy to generate
realistic disaster scenarios
for use in contingency
planning.
•Provide evidence based
and quantitative impact
assessments.
• Partnership with
Indonesia Disaster
Management Agency
(BNPB), AIFDR-AusAID
Labs

16. WB/GFDRR contribution for GAR 2015
• Bottom-up approach?
– Incorporation of detailed exposure data from
city, national or sub-regional risk
assessments, damage and loss assessments and other
relevant studies
– WB-funded projects carried out and resulting relevant
data in many regions of the world
• Most detailed example of local-scale exposure data
collection: Pacific Exposure Database
• Reasonable basis for global mosaic? – ‘doubtful’
• Governments and national entities would have to provide
additional data to sort of ‘fill the catalogue’
– Use of landuse/land cover datasets to infer underlying
exposure? Remote Sensing?
Labs

17. Thank you for your attention
Questions?
dkull@worldbank.org
ksaito2@worldbank.org
Labs