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An Indicator-Based Approach to Assessing Resilience of Smart Critical Infrastructures

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Urban Disaster Resilience and Security

Part of the book series: The Urban Book Series ((UBS))

Abstract

The overall resilience of modern societies is largely determined by and dependent on resilience of their critical infrastructures (CI). These infrastructures are becoming increasingly smarter and more efficient by means of smart technologies such as sensors, gateways, processors. The use of smart technologies also makes the CIs increasingly interdependent and vulnerable to various hazards. CI resilience against threats, such as cyber-attacks, terrorist attacks, natural hazards, is pivotal to ensure continued operations and well-being of the society. To achieve this goal, understanding and measuring the resilience of the CI is of key importance. The main objective of the current research agenda is to improve existing approaches by providing an innovative “holistic” methodology for assessing resilience of smart critical infrastructures. The methodology proposed here, as part of the SmartResilience project, is based on resilience indicators (RIs), and it is structured in six levels (RIs, issues, phases, threats, CIs, and area/city) to obtain a measurement of the CI resilience within an area such as a city. The methodology helps understand “how resilient the CIs are against particular threats” and “what measures could help improve their resilience.” Furthermore, the chapter also provides first results of the implementation in sample case studies. This methodology is expected to be useful to visualize, trend, and benchmark the resilience at regular intervals, contributing to resilience management of smart critical infrastructures.

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References

  • Airports Council International Europe (2016) Airport traffic report (December Q4 and Full Year 2015), ACI, Brussels

    Google Scholar 

  • Albert R, Jeong H, Barabási AL (2000) Error and attack tolerance of complex networks. Nature 406:378–382

    Article  Google Scholar 

  • Allet T (2004) Budapest ‘New’ EU airport. Airports Int. 37(4):37–39

    Google Scholar 

  • Barzelay U (2016) Presentation on design and application of interactive visualization for RIs, SmartResilience project, Trondheim, Norway. www.smartresilience.eu-vri.eu. Accessed on 22 Feb 2017

  • Buhr K, Karlsson A, Sanne JM, Albrecht N, Santamaría NA, Antonsen S, … Warkentin S (2016) SmartResilience D1.3: End users’ challenges, needs and requirements for assessing resilience, EU project SmartResilience, Project No. 700621 (2016–2019), Contact: EU-VRi, Stuttgart, Germany

    Google Scholar 

  • Bundesministerium des Innern (2009) Nationale Strategie zum Schutz Kritischer Infrastrukturen (KRITIS-Strategie). Bundesministerium des Innern, Berlin

    Google Scholar 

  • Cutter SL, Burton CG, Emrich Ch (2010) Disaster resilience indicators for benchmarking baseline conditions. J Homeland Security and Emergency Manage 7(1), Article 51

    Google Scholar 

  • DARWIN project (2016) Expecting the unexpected and know how to respond. Retrieved from http://www.h2020darwin.eu/

  • Data-Driven Documents (2016) Introduction. Retrieved from https://d3js.org/

  • Doyle JC et al (2005) The “robust yet fragile” nature of the internet. Proc. National Acad Sci USA 102:14497–14502

    Article  Google Scholar 

  • EPRI (2000) Guidelines for trial use of leading indicators of human performance: the human performance assistance package. EPRI (U.S. Electric Power Research Institute), Palo Alto, CA, 10000647

    Google Scholar 

  • EPRI (2001) Final report on leading indicators of human performance. EPRI, Palo Alto, CA, and the U.S. Department of Energy, Washington, DC, 1003033

    Google Scholar 

  • European Commission (2013) Call H2020-DRS-2014–2015: Disaster resilience: safeguarding and securing society, including adapting to climate change. Retrieved from https://ec.europa.eu/research/participants/portal/desktop/en/opportunities/h2020/calls/h2020-drs-2014-2015.html#c,topics=callIdentifier/t/H2020-DRS-2014-2015/1/1/1/default-group&callStatus/t/Forthcoming/1/1/0/default-group&callStatus/t/Open/1/1/0/default-group&callStatus/t/Closed/1/1/0/default-group&+identifier/desc

  • FEMA (2014) FEMA strategic plan 2014–2018. Washington, DC

    Google Scholar 

  • Fisher RE, Bassett GW, Buehring WA, Collins MJ, Dickinson DC, Eaton LK, … Peerenboom JP (2010) Constructing a resilience index for the enhanced critical infrastructure protection program, argonne national laboratory, decision and information sciences division, ANL/DIS-10-9, Argonne, IL, USA http://www.ipd.anl.gov/anlpubs/2010/09/67823.pdf

  • Guimerá R, Mossa S, Turtschi A, Amaral L (2005) The worldwide air transportation network: anomalous centrality, community structure, and cities’ global roles. Proc National Acad Sci USA 102:7794–7799

    Article  Google Scholar 

  • Heidelberg-Bahnstadt (2016) Portrait of Bahnstadt, http://heidelberg-bahnstadt.de/en/portrait-bahnstadt. Accessed 10 Oct 2016

  • IEC 61508 (2010) Functional safety of electrical/electronic/programmable electronic safety-related systems. Part 1–7. Geneva: International Electrotechnical Commission

    Google Scholar 

  • IMPROVER (2016) IMPROVER—improved risk evaluation and implementation of resilience concepts to critical infrastructure. Deliverable 2.2: Report of criteria for evaluating resilience. Retrieved from www.improverproject.eu/2016/06/23/deliverable-2-2-report-of-criteria-for-evaluating-resilience/

  • Jovanović A, Auerkari P (2016) EU project SmartResilience: the concept and its application on critical energy infrastructure in Finland, Baltica X—International conference on life management and maintenance for power plants, vol 1, Helsinki, June 07–09, 2016

    Google Scholar 

  • Jovanović A, Klimek P, Choudhary A, Schmid N, Linkov I, Øien K, … Lieberz D (2016) SmartResilience D1.2: Analysis of existing assessment resilience approaches, indicators and data sources: Usability and limitations of existing indicators for assessing, predicting and monitoring critical infrastructure resilience, EU project SmartResilience, Project No. 700621 (2016–2019), Contact: EU-VRi, Stuttgart, Germany

    Google Scholar 

  • Jovanović A, Klimek P (2015) Risk & resilience: emerging risks and resilience—how to find right indicators. Risk and Resilience in the face of global change, Aspen global change institute, Aspen, Col., Nov. 30–Dec. 5, 2015

    Google Scholar 

  • Jovanović A, Choudhary A, Jovanović M, Szekely Z (2016) SmartResilience D2.1 draft report: understanding “smart” technologies and their roles in ensuring resilience of infrastructure, EU project SmartResilience, Project No. 700621 (2016–2019), Contact: EU-VRi, Stuttgart, Germany

    Google Scholar 

  • Jovanović A, Schmid N, Klimek P, Choudhary A (2016) Use of indicators for assessing resilience of smart critical infrastructures, IRGC resource guide on resilience. Lausanne: EPFL International Risk Governance Center. v29–07-2016

    Google Scholar 

  • KC 130 https://en.wikipedia.org/wiki/Lockheed_Martin_KC-130

  • Linkov I et al (2014) Changing the resilience paradigm. Nat Climate Change 4(6):407–409. Retrieved from (http://www.nature.com/doifinder/ 10.1038/nclimate2227)

  • Linkov I et al (2014) Changing the resilience paradigm. Nat climate change 4, June 2014

    Google Scholar 

  • OECD (2014) Guidelines for resilience systems analysis, OECD Publishing

    Google Scholar 

  • Øien K (2001) A framework for the establishment of organizational risk indicators. Reliability Eng. Sys Safety 74:147–167

    Article  Google Scholar 

  • Øien K (2010) Remote operation in environmentally sensitive areas; development of early warning indicators. 2nd iNTeg-Risk Conference, Stuttgart, Germany, 15–16 June 2010

    Google Scholar 

  • Øien K (2013) Remote operation in environmentally sensitive areas: development of early warning indicators. J Risk Res 16(3–4):323–336

    Article  Google Scholar 

  • Øien K, Massaiu S, Tinmannsvik RK (2012) Guideline for implementing the REWI method; resilience based Early Warning Indicators. SINTEF report A22026, Trondheim, Norway

    Google Scholar 

  • Øien K, Massaiu S, Tinmannsvik RK, Størseth F (2010) Development of early warning indicators based on resilience engineering. International conference on probabilistic safety assessment and management (PSAM10), Seattle, USA, 7–11 June 2010

    Google Scholar 

  • Øien K, Nielsen L (2012) Proactive resilience based indicators: the case of the deepwater horizon accident. SPE/APPEA international conference on health, safety and environment in oil & gas exploration and production, Perth, Australia, 11–13 September 2012

    Google Scholar 

  • Øien K, Utne IB, Herrera IA (2011) Building safety indicators. Part 1—theoretical foundation. Saf Sci 49(2):148–161

    Article  Google Scholar 

  • Radiotelephony phonetic alphabet (2016) International civil aviation organization. Retrieved from http://www.icao.int/Pages/AlphabetRadiotelephony.aspx

  • READ (2016) READ—resilience capacities assessment for critical infrastructures disruption: www.read-project.eu/

  • RESILENS project (2016) Realising European resilience for critical infrastructure. Retrieved from http://resilens.eu/

  • RESOLUTE project (2016) RESilience management guidelines and operationalization appLied to Urban transport environment. Retrieved from http://www.resolute-eu.org

  • SmartResilience (2015) Smart resilience indicators for smart critical infrastructures—project proposal call: H2020-DRS-2015, DRS-14-2015. Coordinator: EU-VRi, www.smartresilience.eu-vri.eu

  • SmartResilience (2016) Smart resilience indicators for smart critical infrastructures—the European Union’s horizon 2020 research and innovation programme, grant agreement No 700621 (2016–2019). Coordinator: EU-VRi, www.smartresilience.eu-vri.eu

  • Solé R, Rosas-Casals M, Corominas-Murtra B, Valverde S (2008) Robustness of the European power grids under intentional attack. Phys Rev E 77:026102

    Article  Google Scholar 

  • Stadtwerke Heidelberg (2016) Profile, Retrieved from https://www.swhd.de/de/SWH/Unternehmen/Profil/Die-Stadtwerke-Heidelberg_163643.html. Accessed 10 Oct 2016

  • Størseth F, Tinmannsvik RK, Øien K (2009) Building safety by resilient organization—a case specific approach. The European safety and reliability conference (ESREL ‘09), Prague, Czech Republic, 7–10 September 2009

    Google Scholar 

  • The future of smart cities: cyber-physical infrastructure risks (2015) US department of homeland security, office of cyber and infrastructure analysis

    Google Scholar 

  • UNISDR (2015) The Sendai framework for disaster risk reduction 2015–2030, United Nations office for disaster risk reduction

    Google Scholar 

  • Wreathall J (2006) Properties of resilient organizations: an initial view. In: Resilience Engineering: Concepts and Precepts. Ashgate, Aldershot

    Google Scholar 

Download references

Acknowledgements

The contribution is based on the Grant Agreement No. 700621 supporting the work on the SmartResilience project provided by the Research Executive Agency (REA) (‘the Agency’), under the power delegated by the European Commission (‘the Commission’). This support is gladly acknowledged here, as well as the collaboration of all the partners and their representatives (persons) involved. Special thanks go to Mr. M. Jelic of EU-VRi for the IT support.

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Authors and Affiliations

  1. Steinbeis Advanced Risk Technologies, Stuttgart, Germany

    A. Jovanović

  2. SINTEF Technology and Society, Trondheim, Norway

    K. Øien

  3. European Virtual Institute for Integrated Risk Management, Stuttgart, Germany

    A. Choudhary

Authors
  1. A. Jovanović
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  2. K. Øien
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  3. A. Choudhary
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Corresponding author

Correspondence to A. Jovanović .

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Editors and Affiliations

  1. Institute of Rescue Engineering and Civil Protection, TH Köln—University of Applied Sciences, Cologne, Germany

    Alexander Fekete

  2. Institute for Public Safety and Emergency Management, University of Wuppertal, Wuppertal, Germany

    Frank Fiedrich

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Jovanović, A., Øien, K., Choudhary, A. (2018). An Indicator-Based Approach to Assessing Resilience of Smart Critical Infrastructures. In: Fekete, A., Fiedrich, F. (eds) Urban Disaster Resilience and Security. The Urban Book Series. Springer, Cham. https://doi.org/10.1007/978-3-319-68606-6_17

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