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and the occupancy of different building typologies during the day and night
will stored. Building-by-building data will also be available for a select
number of areas; this data is expected to increase with time through the use
of the Inventory Data Capture Tools (see Section 30.2.10). The partners
making up the consortium are: the University of Pavia (coordinator), CIE-
SIN-Colombia University, IES-CEA, IGP-CEA, ImageCat, JRC and UN-
HABITAT. The USGS and EUCENTRE are advising partners.
30.2.8
Global Physical Vulnerability Estimation Methods
The physical vulnerability project has 3 years' duration and involves nine
partners worldwide: University of Colorado at Boulder, University of Chile,
Geoscience Australia, EERI, Stanford University, University College
London, University of Bath, USGS and Willis (http://www.globalquake-
model.org/risk-global-components/vulnerability-estimation). The project
focuses on relationships between earthquake shaking intensity and physical
building damage or related loss, relationships often called seismic (physical)
vulnerability functions (Fig. 30.6). The project has two central objectives: to
develop procedures for deriving physical vulnerability functions, and to
implement those procedures and produce vulnerability functions for a wide
variety of building types, following the GEM building taxonomy. The project
will not produce seismic vulnerability functions for every building type
everywhere in the world, but it will most likely provide a major advance,
both in terms of a library of physical vulnerability functions and
0.30
0.25
0.20
0.15
0.10
0.05
0.00
5.0
5.5
6.0
6.5
7.0
7.5
MMI
8.0
8.5
9.0
9.5
10.0 10.5
30.6
Example discrete vulnerability function and uncertainty
description: the probabilistic distribution of loss ratio (e.g. ratio of cost
of repair to cost of replacement) conditional on the intensity measure
level, which in this case is modifi ed Mercalli intensity (MMI).
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