Abstract
Apart from the loss of lives, injuries and homeless resulting from an earthquake, not only the economy and physical landscape are altered, but also the lives of citizens and their places of work are dramatically altered. If critical services and functions are disrupted for more than a reasonable time period, consequences can be severe. All communities are at risk and face potential disaster, if unprepared. The Disruption Index (DI) is a tool that allows the representation of a complex and multidimensional situation in a concise and easier way, providing institutions and communities with a way to identify the global earthquake impact in a geographical area, the elements at risk, and the means to reduce it. In the present paper, after a short review of the concept of DI, its geographic (spatial) distribution is developed and an application to some cities in Algarve (Portugal) is made. Then, the use of DI in the context of measuring the risk reduction for alternative disaster mitigation strategies is introduced and illustrations are presented.
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References
Andrews JD, Moss TR (2002) Reliability and risk assessment. Bury St Edmunds, Professional Engineering Publishing Limited, London
Apostolakis GE, Lemon DM (2005) A screening methodology for the identification and ranking of infrastructure vulnerabilities due to terrorism. Risk Anal 25(2):361–376
Bana e Costa CA, Beinat E (2005) Model-structuring in public decision-aiding. LSEOR 05:79
EC-8 (2004) Eurocode 8. Design of structures for earthquake resistance—part 1: general rules, seismic actions and rules for buildings. EN 1980-1:2004. Comité Européan de Normalization
Ferreira MA (2012) Risco sísmico em sistemas urbanos. Ph.D Thesis. Instituto Superior Técnico, Universidade Técnica de Lisboa (in Portuguese)
Ferreira MA, Mota de Sá F, Oliveira CS (2014) Disruption Index, DI: an approach for assessing seismic risk in urban systems (theoretical aspects). Bull Earthq Eng 12(4):1431–1458. doi:10.1007/s10518-013-9578-5
INE (2011) Recenseamento Geral da População de 2011. INE, I.P., Census 2011. Lisbon
Lambert HE (1975) Fault trees for decision-making in systems analysis. Rep. UCRL-51829. Lawrence Livermore Laboratory, Livermore, CA
Meroni F, Zonno G, Azzaro R, D’Amico S, Tuvè T, Oliveira CS, Ferreira MA, Mota de Sá F, Brambilla C, Rotondi R, Varini E (2015) The role of the urban system dysfunction in the assessment of seismic risk in the Mt. Etna area (Italy). Bull Earthq Eng. doi:10.1007/s10518-015-9780-8
Michaud D, Apostolakis GE (2006) A methodology for ranking the elements of water-supply networks. J Infrast Syst 12(4):230–242
Mota de Sá F (2015) PhD Thesis. Instituto Superior Técnico, Universidade Técnica de Lisboa. (work in progress)
Mota de Sá F, Ferreira MA, Oliveira CS (2015) QuakeIST®: earthquake scenario simulator using interdependencies (BEEE submitted to this issue)
Oliveira CS, Ferreira MA, Mota de Sá F (2012) The concept of a disruption index: application to the overall impact of the July 9, 1998 Faial earthquake (Azores islands). Bull Earthq Eng 10:7–25. doi:10.1007/s10518-011-9333-8
Oliveira CS, Mota de Sá F, Ferreira MA (2014) Disaster prevention strategies based on the level of risk. In: Proceedings 2nd European conference on earthquake engineering and seismology, Istanbul, 25–29 August
Pascione M (2001) Urban geography: a global perspective. Routledge, London
Patterson SA, Apostolakis GE (2005) Identification of critical locations across multiple infrastructures for terrorist actions. In: Paper presented at the safeguarding national infrastructures: integrated approaches to failure in complex networks. University of Glasgow
Philips LD, Bana e Costa CA (2007) Transparent prioritisation, budgeting and resource allocation with multi-criteria decision analysis and decision conferencing. Ann Oper Res 154(1):51–68. doi:10.1007/s10479-007-0183-3
UPStrat-MAFA (2012) Urban disaster prevention strategies using MAcroseismic fields and fault sources (UPStrat-MAFA—EU Project Num. 230301/2011/613486/SUB/A5), DG ECHO Unit A5
Vesely WE, Davis TC, Denning RS, Saltos N (1983) Measures of risk importance and their applications. Division of Risk Analysis, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, Washington, DC
Zio E, Podofillini L (2003) Importance measures of multi-state components in multi-state systems. Int J Reliab Saf Eng 10(3):289–310
Acknowledgments
We gratefully acknowledge the support of the Fundação para a Ciência e a Tecnologia (PhD Grant SFRH/BD/71198/2010). This paper was co-financed by the EU—Civil Protection Financial Instrument in the framework of the European Project “Urban disaster Prevention Strategies using MAcroseismic Fields and FAult Sources” (UPStrat-MAFA—Num. 230301/2011/613486/SUB/A5), DG ECHO Unit A5.
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Ferreira, M.A., de Sá, F.M. & Oliveira, C.S. The Disruption Index (DI) as a tool to measure disaster mitigation strategies. Bull Earthquake Eng 14, 1957–1977 (2016). https://doi.org/10.1007/s10518-015-9808-0
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DOI: https://doi.org/10.1007/s10518-015-9808-0