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  4. D1.2 Analysis of existing assessment resilience approaches, indicators and data sources
 
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2016
Report
Titel

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

Titel Supplements
Usability and limitations of existing indicators for assessing, predicting and monitoring critical infastructure resilience
Abstract
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).
Author(s)
Jovanovic, Aleksandar
European Virtual Institute for Integrated Risk Management, Stuttgart
Klimek, Peter
Medical University of Vienna
Choudhary, Amrita
University of Stuttgart
Linkov, Igor
Engineer Research and Development Center - U.S. Army
Øien, Knut
STIFTELSEN SINTEF
Schmid, Nicolas
Steinbeis Advanced Risk Technologies GmbH
Vollmer, Maike
Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT
Sanne, Johan
IVL Swedish Environmental Research Institute
Andersson, Sofia Lovisa
IVL Swedish Environmental Research Institute
Székely, Zoltán
Bay Zoltán Nonprofit Ltd. for Applied Research
Molarius, Riitta
Technical Research Centre of Finland Ltd.
Knape, Thomas
Applied Intelligence Analystics Ltd.
Barzelay, U.
Stanisic, M.
Walther, Gerald
Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT
Lieberz, Daniela
Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT
Verlagsort
Stuttgart
Project(s)
SmartResilience
Funder
European Commission EC
DOI
10.5281/zenodo.376412
File(s)
N-461588.pdf (3.33 MB)
Language
English
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Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT
Tags
  • resilience definition...

  • resilience indicator

  • resilience matrix

  • resilience assessment...

  • Big Data

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