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Modelling Economic Dimension of Community Resilience

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Book cover Computational Methods, Seismic Protection, Hybrid Testing and Resilience in Earthquake Engineering

Part of the book series: Geotechnical, Geological and Earthquake Engineering ((GGEE,volume 33))

Abstract

Earthquakes and extreme events in general cause direct and indirect economic effects on every major economic sector of a given community. These effects have grown in the last years due to the increasing interdependency of the infrastructures and make the community more vulnerable to natural and human-induced disruptive events. Therefore, there is need for metrics and models which are able to describe economic resilience, defined as the ability of a community affected by a disaster to resist at the shock and bounce back to the economy in normal operating conditions. Several attempts have been made in the past to achieve a better measurement and representation of the economic resilience and to find suitable metrics to help decision planning. The most popular methodologies are based on Computable General Equilibrium models (CGE) and Inoperability Input-Output models (IIM). In this study, we analyze these methods, showing advantages and limitations. Finally, a new method is proposed to evaluate economic resilience which is based on equilibrium growth models and compared with other approaches on a specific case study: the San Francisco Bay Area.

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Acknowledgments

The research leading to these results has also received funding from the European Community’s Seventh Framework Programme – Marie Curie International Reintegration Actions-FP7/2007–2013 under the Grant Agreement n° PIRG06-GA-2009-256316 of the project ICRED – Integrated European Disaster Community Resilience, and by the Marie Curie International Outgoing Fellowship (IOF) Actions-FP7/2007–2013 under the Grant Agreement n°PIOF-GA-2012-329871 of the project IRUSAT – Improving Resilience of Urban Societies through Advanced Technologies.

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Authors and Affiliations

  1. Department of Structural, Geotechnical & Building Engineering (DISEG), Politecnico di Torino, 10129, Turin, Italy

    Gian Paolo Cimellaro Ph.D., P.E.

  2. Department of Civil and Environmental Engineering, University of California at Berkeley, Berkeley, CA, 94720-1710, USA

    D. Martinelli

Authors
  1. Gian Paolo Cimellaro Ph.D., P.E.
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  2. D. Martinelli
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Corresponding author

Correspondence to Gian Paolo Cimellaro Ph.D., P.E. .

Editor information

Editors and Affiliations

  1. Department of Structural, Geotechnical & Building Engineering (DISEG), Politecnico di Torino, Turin, Italy

    Gian Paolo Cimellaro

  2. Civil & Env. Engineering and Mech. Engineering, Rice University, Houston, Texas, USA

    Satish Nagarajaiah

  3. Civil & Environmental Engineering, University of California, Davis, California, USA

    Sashi K. Kunnath

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Cimellaro, G.P., Martinelli, D. (2015). Modelling Economic Dimension of Community Resilience. In: Cimellaro, G., Nagarajaiah, S., Kunnath, S. (eds) Computational Methods, Seismic Protection, Hybrid Testing and Resilience in Earthquake Engineering. Geotechnical, Geological and Earthquake Engineering, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-319-06394-2_11

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