Technical Papers
Nov 24, 2017

Quantitative Framework to Assess Resilience and Risk at the Country Level

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 4, Issue 1

Abstract

This paper presents a quantitative method to assess the resilience and the resilience-based risk at the country level. The approach is inspired by the classical risk analysis, in which risk is a function of vulnerability, hazard, and exposure. In the proposed analysis, resilience-based risk is a function of resilience, hazard, and exposure. In the new formula, the resilience parameter is evaluated using the data provided by the Hyogo Framework for Action (HFA). HFA scores and ranks countries based on a number of equally weighted indicators. To use those indicators in the resilience assessment, the contribution of each indicator toward resilience must be determined. To do that, three methods to weight and combine the different HFA indicators are proposed. The first two methods are based on the dependence tree analysis (DTA), while the third method is based on a geometrical combination of the indicators using spider plots. The proposed methodology has been applied to a case study composed of 37 countries for which both the resilience (R) and the resilience-based risk (RBR) indexes have been determined.

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Acknowledgments

The research leading to these results has received funding from the European Research Council under the Grant Agreement No. 637842 of the project IDEAL RESCUE—Integrated DEsign and control of Sustainable CommUnities during Emergencies.

References

Allenby, B., and Fink, J. (2005). “Toward inherently secure and resilient societies.” Science, 309(5737), 1034–1036.
Ayyub, B. M. (2015). “Practical resilience metrics for planning, design, and decision making.” ASCE-ASME J. Risk Uncertainty Eng. Syst. Part A, 1(3), 04015008.
Bonstrom, H., and Corotis, R. B. (2016). “First-order reliability approach to quantify and improve building portfolio resilience.” J. Struct. Eng., C4014001.
Bruneau, M., et al. (2003). “A framework to quantitatively assess and enhance the seismic resilience of communities.” Earthquake Spectra, 19(4), 733–752.
Cardona, O. D., van Aalst, M. K., Birkmann, J., Fordham, M., McGregor, G., and Mechler, R. (2012). “Determinants of risk: Exposure and vulnerability.” Managing the risks of extreme events and disasters to advance climate change adaptation, Cambridge University Press, Cambridge, U.K.
Chang, S. E., McDaniels, T., Fox, J., Dhariwal, R., and Longstaff, H. (2014). “Toward disaster-resilient cities: Characterizing resilience of infrastructure systems with expert judgments.” Risk Anal., 34(3), 416–434.
Cimellaro, G. P. (2016). Urban resilience for emergency response and recovery, Springer, New York.
Cimellaro, G. P., Reinhorn, A. M., and Bruneau, M. (2010). “Framework for analytical quantification of disaster resilience.” Eng. Struct., 32(11), 3639–3649.
Cimellaro, G. P., Renschler, C., Reinhorn, A. M., and Arendt, L. (2016a). “PEOPLES: A framework for evaluating resilience.” J. Struct. Eng., 04016063.
Cimellaro, G. P., Solari, D., and Bruneau, M. (2014). “Physical infrastructure interdependency and regional resilience index after the 2011 Tohoku earthquake in Japan.” Earthquake Eng. Struct. Dyn., 43(12), 1763–1784.
Cimellaro, G. P., Tinebra, A., Renschler, C., and Fragiadakis, M. (2016b). “New resilience index for urban water distribution networks.” J. Struct. Eng., C4015014.
Cimellaro, G. P., Tinebra, A., Renschler, C., and Fragiadakis, M. (2017). “Closure to “New resilience index for urban water distribution networks” by G. P. Cimellaro, A. Tinebra, C. Renschler, and M. Fragiadakis.” J. Struct. Eng., 07017002.
Cimellaro, G. P., Villa, O., and Bruneau, M. (2015). “Resilience-based design of natural gas distribution networks.” J. Infrastruct. Syst., 05014005–05014014.
Cohen, O., Leykin, D., Lahad, M., Goldberg, A., and Aharonson-Daniel, L. (2013). “The conjoint community resiliency assessment measure as a baseline for profiling and predicting community resilience for emergencies.” Technol. Forecasting Soc. Change, 80(9), 1732–1741.
Cutter, S. L. (2016a). “Resilience to What? Resilience for Whom?” Geog. J., 182(2), 110–113.
Cutter, S. L. (2016b). “The landscape of disaster resilience indicators in the USA.” Nat. Hazards, 80(2), 741–758.
Cutter, S. L., Ash, K. D., and Emrich, C. T. (2014). “The geographies of community disaster resilience.” Global Environ. Change, 29, 65–77.
Gallopín, G. C. (2006). “Linkages between vulnerability, resilience, and adaptive capacity.” Global Environ. Change, 16(3), 293–303.
Gilbert, S., and Ayyub, B. M. (2016). “Models for the economics of resilience.” ASCE-ASME J. Risk Uncertainty Eng. Syst. Part A, 2(4), 04016003.
Hazus version 4.0 [Computer software]. FEMA, Washington, DC.
Kammouh, O., Dervishaj, G., and Cimellaro, G. P. (2016). “Resilience assessment at the state level.” Proc., 1st Int. Conf. on Natural Hazards and Infrastructure (ICONHIC2016), Chania, Greece.
Kammouh, O., Dervishaj, G., and Cimellaro, G. P. (2017). “A new resilience rating system for countries and states.” Procedia Eng., 198, 985–998.
Kircher, C. A., Whitman, R. V., and Holmes, W. T. (2006). “HAZUS earthquake loss estimation methods.” Nat. Hazards Rev., 45–59.
Klein, R. J. T., Nicholls, R. J., and Thomalla, F. (2003). “Resilience to natural hazards: How useful is this concept?” Global Environ. Change Part B, 5(1–2), 35–45.
Liu, X., Ferrario, E., and Zio, E. (2017). “Resilience analysis framework for interconnected critical infrastructures.” ASCE-ASME J. Risk Uncertainty Eng. Syst. Part B, 3(2), 021001.
MATLAB [Computer software]. MathWorks, Natick, MA.
Miles, S. B., and Chang, S. E. (2011). “ResilUS: A community based disaster resilience model.” Cartography Geographic Inf. Sci., 38(1), 36–51.
Mucke, P. (2015). World risk report 2015: Food insecurity increases the risk of disaster, UNU-EHS, Bonn, Germany.
Nastev, M., and Todorov, N. (2013). “Hazus: A standardized methodology for flood risk assessment in Canada.” Can. Water Resour. J., 38(3), 223–231.
NIBS (National Institute of Building Science). (2002). “Advanced engineering building module (AEBM) technical and user manual.” Washington, DC.
Papadopoulos, G. (2016). “Hazard, vulnerability, and risk assessment.” Chapter 6, Tsunamis in the European-mediterranean region, Elsevier, Boston, 137–178.
Peng, X., Roueche, D. B., Prevatt, D. O., and Gurley, K. R. (2016). “An engineering-based approach to predict tornado-induced damage.” Multi-hazard approaches to civil infrastructure engineering, Springer, New York, 311–335.
Pfefferbaum, R., Pfefferbaum, B., and Van Horn, R. (2011). Communities advancing resilience toolkit (CART): The CART integrated system, Terrorism and Disaster Center at the Univ. of Oklahoma Health Sciences Center, Oklahoma City.
Richard, J. T. K., Smit, M. J., Goosen, H., and Hulsbergen, C. H. (1998). “Resilience and vulnerability: Coastal dynamics or Dutch dikes?” Geog. J., 164(3), 259–268.
Scawthorn, C., et al. (2006a). “HAZUS-MH flood loss estimation methodology. I: Overview and flood hazard characterization.” Nat. Hazard. Rev., 60–71.
Scawthorn, C., et al. (2006b). “HAZUS-MH flood loss estimation methodology. II: Damage and loss assessment.” Nat. Hazard. Rev., 72–81.
SPUR (San Francisco Planning and Urban Research Association). (2009). “Defining what San Francisco needs from its seismic mitigation policies.” ⟨http://mitigation.eeri.org/files/SPUR_Seismic_Mitigation_Policies.pdf⟩ (Jul. 25, 2015).
Twigg, J. (2009). “Characteristics of a disaster-resilient community: A guidance note, version 2. Aon Benfield UCL hazard research centre, London.” ⟨https://practicalaction.org/docs/ia1/community-characteristics-en-lowres.pdf⟩ (Jul. 25, 2015).
UNISDR (United Nation Office for Disaster Risk Reduction). (2007). “Hyogo framework for action 2005-2015: Building the resilience of nations and communities to disasters—Extract from the final report of the World Conference on Disaster Reduction (A/CONF. 206/6).” ⟨http://www.unisdr.org/2005/wcdr/intergover/official-doc/L-docs/Hyogo-framework-for-action-english.pdf⟩.
UNISDR (United Nation Office for Disaster Risk Reduction). (2008). “Indicators of progress: Guidance on measuring the reduction of disaster risks and the implementation of the Hyogo framework for Action.” ⟨http://www.unisdr.org/files/2259_IndicatorsofProgressHFAannexes.pdf⟩.
UNISDR (United Nation Office for Disaster Risk Reduction). (2011). “Hyogo framework for action 2005-2015 mid-term review.” ⟨http://www.preventionweb.net/files/18197_midterm.pdf⟩.
UNISDR (United Nation Office for Disaster Risk Reduction). (2015a). “Reading the Sendai framework for disaster risk reduction 2015-2030.” ⟨http://www.preventionweb.net/files/46694_readingsendaiframeworkfordisasterri.pdf⟩ (Jul. 25, 2015).
UNISDR (United Nation Office for Disaster Risk Reduction). (2015b). “Sendai framework for disaster risk reduction 2015-2030.” ⟨http://www.preventionweb.net/files/43291_sendaiframeworkfordrren.pdf⟩ (Jul. 25, 2015).
Vickery, P. J., Lin, J., Skerlj, P. F., Twisdale, L. A., Jr., and Huang, K. (2006a). “HAZUS-MH hurricane model methodology. I: Hurricane hazard, terrain, and wind load modeling.” Nat. Hazard. Rev., 82–93.
Vickery, P. J., Skerlj, P. F., Lin, J., Twisdale, L. A., Jr., Young, M. A., and Lavelle, F. M. (2006b). “HAZUS-MH hurricane model methodology. II: Damage and loss estimation.” Nat. Hazard. Rev., 94–103.
Vickery, P. J., Skerlj, P. F., Steckley, A., and Twisdale, L. (2000a). “Hurricane wind field model for use in hurricane simulations.” J. Struct. Eng., 1203–1221.
Vickery, P. J., Skerlj, P. F., and Twisdale, L. A. (2000b). “Simulation of hurricane risk in the U.S. using empirical track model.” J. Struct. Eng., 1222–1237.
Wagner, I., and Breil, P. (2013). “The role of ecohydrology in creating more resilient cities.” Ecohydrol. Hydrobiol., 13(2), 113–134.
White, R. K., Edwards, W. C., Farrar, A., and Plodinec, M. J. (2014). “A practical approach to building resilience in America’s communities.” Am. Behav. Sci., 59(2), 200–219.
Whitman, R. V., Anagnos, T., Kircher, C. A., Lagorio, H. J., Lawson, R. S., and Schneider, P. (1997). “Development of a national earthquake loss estimation methodology.” Earthquake Spectra, 13(4), 643–661.

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 4Issue 1March 2018

History

Received: Dec 19, 2016
Accepted: Jul 10, 2017
Published online: Nov 24, 2017
Published in print: Mar 1, 2018
Discussion open until: Apr 24, 2018

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Authors

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Omar Kammouh [email protected]
Ph.D. Student, Dept. of Structural, Geotechnical and Building Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy. E-mail: [email protected]
Glen Dervishaj [email protected]
Graduate Student, Dept. of Structural, Geotechnical and Building Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy. E-mail: [email protected]
Gian Paolo Cimellaro, A.M.ASCE [email protected]
Visiting Professor, Dept. of Structural and Environmental Engineering, Univ. of California, Berkeley, Davis Hall, Berkeley, CA 94720-1710 (corresponding author). E-mail: [email protected]

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