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GEM risk global datasets and 
OpenQuake risk modeling
the GEM Risk team, the GEM IT Team and the 
community of scientists and engineers..
An international scientific community is developing risk 
datasets and tools:
USGS
Stanford 
Uni. ImageCat
ERN‐AL
CIESIN
BGS
BCIT
Kyoto Uni. 
Geoscience Australia
GNS
UN‐HABITAT
UCL
NTUA
KOERI
GFZ
SPA Risk
PUC
WAPMERR
JRC
Uni. Pavia
CREDUni. Cambridge
CAR
Uni. 
Colorado
EERI/WHE
Uni. Nottingham
Buildings vary around 
the world, but they 
have a common set of 
characteristics: 
taxonomy
TaxT v3.1,  by Vitor Silva
TaxT v3.1,  by Vitor Silva
TaxT v3.1,  by Vitor Silva
TaxT v3.1,  by Vitor Silva
TaxT v3.1,  by Vitor Silva
TaxT v3.1,  by Vitor Silva
TaxT v3.1,  by Vitor Silva
TaxT v3.1,  by Vitor Silva
TaxT v3.1,  by Vitor Silva
TaxT v3.1,  by Vitor Silva
TaxT v3.1,  by Vitor Silva
TaxT v3.1,  by Vitor Silva
A comprehensive online glossary helps users understand the 
meaning of each building taxonomy term
GEM Building Taxonomy Reports
217 reports from 49 countries..
Building taxonomy reports received through World Housing
Encyclopedia / EERI outreach effort
GEM building taxonomy used to develop exposure 
models through paper forms and mobile/desktop “apps”
Android tool
Map 
interface
Android tool
Use integrated camera to take a 
picture of the building
Android tool
Building 
photograph
Android tool
Data 
collection 
form
Android tool
Standardised 
GEM data 
model 
format
Windows tool
Windows tool
Working with satellite data – footprint extraction tools
Thailand (Com/Ind)
Thailand (Res) Pakistan (Mixed)
Chile (Mixed)
Remote
Sensing
Tools
Sampling
& Field
Tools
Global Exposure 
Database 
Building‐by‐Building
(Level 3)
Putting it all together to develop exposure data and models
Mapping
Schemes
Tool
Remote
Sensing
Tools
Sampling
& Field
Tools
Putting it all together to develop exposure data and models
Global Exposure 
Database 
City/Region Models
(Level 2)
A Global Exposure Database with varying levels of 
resolution, from country‐based to individual buildings..
Level 0 and 1 are country and sub‐country and use 
population as proxy for building density and spatial 
distribution
Population Density for the year 2000 
(GRUMP)
Dwelling fractions (percentage of population in different 
building typologies) are produced at level 0 (country) 
and level 1 (sub‐country) level
Rural Non‐residential 
Urban Non‐residential 
Rural Residential 
Urban Residential 
Level 0 dwelling fractions –100% global coverage 
(source: PAGER, some countries have updated fractions 
based on UN‐HABITAT wall/roof census data)
Level 1 dwelling fractions – 35% global coverage 
Level 1 dwelling fractions – 35% global coverage 
Average number of people 
per dwelling
Average floor area per dwelling:
Average floor area per capita
Study Region facts (almost 100% coverage at Level 0)
Floor area (m2)
Global layer of number of buildings, area of buildings, 
replacement cost of buildings, and fractions to 
distribute these parameters between different building 
typologies
Global coverage of Level 0 by end of 2013, Level 1 
expected to grow with time..
How should we estimate the physical vulnerability of 
structures around the world?
Use the database of existing empirical, analytical and 
expert opinion fragility and vulnerability functions that 
is being developed
Use the guidelines for developing new fragility and 
vulnerability functions
Empirical methods
Analytical methodsEmpirical‐national methods
Expert elicitation methods
Empirical guidelines offer approaches for combining 
observed damage and loss data with observed ground 
motions..
Fraction of buildings > Damage State 3
Macroseismic Intensity (MMI)
Two expert elicitation workshops
Japan
Iran
India
Italy
California
Greece
Light shaking Severe shaking
FatalityRate
Empirical‐national guidelines use regression analysis to 
relate observed macroseismic intensity with fatality and 
economic loss data from past events ..
Analytical guidelines offer different approaches to 
modelling structures..
and different approaches to analytically estimating 
response and damage.. 
A full spectrum of earthquake consequences from past 
earthquakes is being collected ‐ for deriving and/or 
validating vulnerability functions
64 events from 1970‐2011, plus 1923 Japan and 1967 Caracas
64 events from 1970‐2011, plus 1923 Japan and 1967 Caracas
64 events from 1970‐2011, plus 1923 Japan and 1967 Caracas
ShakeMap Atlas 2.0
Critical Buildings and Infrastructure
Critical Buildings and Infrastructure
Exposure Vulnerability Consequences
taxonomy taxonomy
A wide range of use cases
Exposure Consequences
1. Use tools to collect data in the field, develop 
models and contribute to databases
Vulnerability
guidelines
2. Use guidelines to develop new vulnerability functions, 
and contribute these to the vulnerability database
Vulnerability Consequences
taxonomy
guidelines
3. Use data from the 
consequences database to 
develop new vulnerability 
functions…
Vulnerability Consequences
taxonomy
4. Compare vulnerability functions with data 
from the consequences database
Exposure Vulnerability
taxonomy
OpenQuake Engine
5. Download exposure models and 
vulnerability models to run risk calculations 
with the OpenQuake Engine
OpenQuake Engine v1.0
Scenario risk calculator, featuring ground motion residual 
and vulnerability uncertainty correlation
D5
D3
D1
0%
10%
20%
30%
40%
50%
60%
70%
80%
RCLRPC
RCMRPC RCHRPC RCLRC
RCMRC
RCHRC
OpenQuake Engine v1.0
Scenario damage calculator, featuring the use of fragility 
functions to derive damage distributions
Calculations for Tunis city by an OpenQuake engine user
Low 
probability of 
collapse
High 
probability of 
collapse
Calculations by Ahmed Ksentini, Tunisia
0.01
0.1
1
0.00E+00 4.00E+09 8.00E+09 1.20E+10
Probabilityofexceedancein50years
Aggregated Economic Losses (EUR)
Type B
Type C
Type D
No correlation Correlation in the ground 
motion and vulnerability
Only correlation of the 
ground motion residuals
OpenQuake Engine v1.0
Probabilistic event‐based risk calculator for portfolio loss 
exceedance probability calculations, featuring ground 
motion residual and vulnerability uncertainty correlation
OpenQuake Engine v1.0
PSHA‐based risk calculator, for rapid asset‐specific loss 
exceedance probability calculations
Loss map for a 10% probability of 
exceedance in 50 years.
Loss map for a 1% probability of 
exceedance  in 50 years.
OpenQuake Engine v1.0
Retrofitting benefit‐cost calculator, to guide decisions on 
where and when retrofitting makes sense
BenefitNo 
Benefit
Benefit‐Cost Ratio
We plan to use the global uniform hazard map, global 
exposure database (level 0) and a set of global 
vulnerability functions to develop a global risk map
low medium high

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GEM risk global datasets and OpenQuake risk modeling, GEM Reveal 2013, Helen Crowley