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D1.2 Analysis of existing assessment resilience approaches, indicators and data sources

Usability and limitations of existing indicators for assessing, predicting and monitoring critical infastructure resilience
: Jovanovic, Aleksandar; Klimek, Peter; Choudhary, Amrita; Linkov, Igor; Øien, Knut; Schmid, Nicolas; Vollmer, Maike; Sanne, Johan; Andersson, Sofia Lovisa; Székely, Zoltán; Molarius, Riitta; Knape, Thomas; Barzelay, U.; Stanisic, M.; Walther, Gerald; Lieberz, Daniela

Fulltext urn:nbn:de:0011-n-4615889 (3.3 MByte PDF)
MD5 Fingerprint: 1aadc04fa43bb4be93634a1f84483314
Created on: 16.8.2017

Stuttgart, 2016, 174 pp.
European Commission EC
H2020-Secure societies - Protecting freedom and security of Europe and its citizens; 700621; SmartResilience
Smart Resilience Indicators for Smart Critical Infrastructures
Report, Electronic Publication
Fraunhofer INT ()
resilience definition; resilience indicator; resilience matrix; resilience assessment; Big Data

Modern critical infrastructures are becoming increasingly smarter (e.g. the smart cities). Making the infrastructures smarter usually means making them smarter in the normaloperation and use: more adaptive, more intelligent etc. But will these smart critical infrastructures (SCIs) behave smartly and be smartly resilient also when exposed to extreme threats, such as extreme weather disasters or terrorist attacks? If making existing infrastructure smarter is achieved by making it more complex, would it also make it more vulnerable? Would this affect resilience of an SCI as its ability to anticipate, prepare for, adapt and withstand, respond to, and recover? What are the resilience indicators (RIs) which one has to look at? These are the main questions tackled by SmartResilience project. This report summarized the results of the work in Task 1.2 of the SmartResilience project. Within the Work Package "Establishing the project baseline and the common framework", Task 1.2 "Analysis of existing assessment approaches, indicators and data sources" addresses the first 3 of the five main project objectives namely: identifying existing indicators suitable for assessing resilience of SCIs, identifying new "smart" resilience indicators (RIs) - including those from Big Data, developing a new advanced resilience assessment methodology based on smart RIs ("resilience indicators cube", including the resilience matrix).