This study presents an open and transparent exposure model for the residential building stock in South America. This model captures the geographical distribution, structural characteristics (including information about construction materials, lateral load resisting system, range of number of stories), average built-up area, replacement cost, expected number of occupants, and number of dwellings and buildings. The methodology utilized to develop this model was based on national population and housing statistics and expert judgment from dozens of local researchers and practitioners. This model has been developed as part of the South America Risk Assessment (SARA) project led by the Global Earthquake Model (GEM), and it can be used to perform earthquake risk analyses. It is available at different geographical scales for seven Andean countries: Argentina, Bolivia, Chile, Colombia, Ecuador, Peru, and Venezuela (DOI: 10.13117/GEM. DATASET.EXP.ANDEAN-v1.0).
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February 01, 2017
Modeling the Residential Building Inventory in South America for Seismic Risk Assessment
Catalina Yepes-Estrada, M. EERI;
Catalina Yepes-Estrada, M. EERI
a)
GEM Foundation, Via Ferrata 1, Pavia, Italy
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Vitor Silva;
Vitor Silva
a)
GEM Foundation, Via Ferrata 1, Pavia, Italy
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Jairo Valcárcel;
Jairo Valcárcel
a)
GEM Foundation, Via Ferrata 1, Pavia, Italy
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Ana Beatriz Acevedo;
Ana Beatriz Acevedo
b)
Universidad EAFIT, Medellin, Colombia
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Nicola Tarque;
Nicola Tarque
c)
GERDIS Research Group, Division of Civil Eng., Pontificia Universidad Católica del Perú, Lima, Peru
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Matías A. Hube, M. EERI;
Matías A. Hube, M. EERI
d)
Pontificia Universidad Católica de Chile and National Research Center for Integrated Natural Disaster Management CONICYT/FONDAP/15110017, Santiago, Chile
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Gustavo Coronel;
Gustavo Coronel
e)
IMME-UCV and FUNVISIS, Caracas, Venezuela
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Hernán Santa María
Hernán Santa María
d)
Pontificia Universidad Católica de Chile and National Research Center for Integrated Natural Disaster Management CONICYT/FONDAP/15110017, Santiago, Chile
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Catalina Yepes-Estrada, M. EERI
a)
GEM Foundation, Via Ferrata 1, Pavia, Italy
Vitor Silva
a)
GEM Foundation, Via Ferrata 1, Pavia, Italy
Jairo Valcárcel
a)
GEM Foundation, Via Ferrata 1, Pavia, Italy
Ana Beatriz Acevedo
b)
Universidad EAFIT, Medellin, Colombia
Nicola Tarque
c)
GERDIS Research Group, Division of Civil Eng., Pontificia Universidad Católica del Perú, Lima, Peru
Matías A. Hube, M. EERI
d)
Pontificia Universidad Católica de Chile and National Research Center for Integrated Natural Disaster Management CONICYT/FONDAP/15110017, Santiago, Chile
Gustavo Coronel
e)
IMME-UCV and FUNVISIS, Caracas, Venezuela
Hernán Santa María
d)
Pontificia Universidad Católica de Chile and National Research Center for Integrated Natural Disaster Management CONICYT/FONDAP/15110017, Santiago, Chile
Publisher: Earthquake Engineering Research Institute
Received:
19 Oct 2015
Accepted:
10 Nov 2016
First Online:
01 Jun 2020
Online ISSN: 1944-8201
Print ISSN: 8755-2930
© 2017 Earthquake Engineering Research Institute
Earthquake Engineering Research Institute
Earthquake Spectra (2017) 33 (1): 299–322.
Article history
Received:
19 Oct 2015
Accepted:
10 Nov 2016
First Online:
01 Jun 2020
Citation
Catalina Yepes-Estrada, Vitor Silva, Jairo Valcárcel, Ana Beatriz Acevedo, Nicola Tarque, Matías A. Hube, Gustavo Coronel, Hernán Santa María; Modeling the Residential Building Inventory in South America for Seismic Risk Assessment. Earthquake Spectra 2017;; 33 (1): 299–322. doi: https://doi.org/10.1193/101915eqs155dp
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