Skip to main content

Advertisement

SpringerLink
Log in

The RESOLUTE project’s European Resilience Management Guidelines for Critical Infrastructure: development, operationalisation and testing for the urban transport system

  • Published:
Environment Systems and Decisions Aims and scope Submit manuscript

Abstract

Critical Infrastructure protection is an issue of priority in Europe, enabling numerous activities for rendering the European Critical infrastructure resilient. A framework for enhancing critical transportation infrastructure resilience could potentially serve as a roadmap for addressing some of the vulnerabilities and criticalities the Urban Transport System (UTS) is facing (e.g. ageing infrastructure, extreme weather conditions, terrorist attacks). Within RESOLUTE project, this need has been addressed, by defining European Resilience Management Guidelines tailored to UTS functions, by developing tools for their operationalisation, as well as by defining performance indicators for assessing their performance. The RESOLUTE pilot that took place in Florence has implemented this approach and the findings show that effective management and continuous monitoring of UTS, with the use of appropriate tools, facilitates the early identification of vulnerabilities and allows for the a priori enhancement of the system’s resilience.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

Notes

  1. https://ec.europa.eu/home-affairs/sites/homeaffairs/files/financing/fundings/pdf/cips/cips_awp_2013_c2012_6299_en.pdf

  2. 2015–2018 RESOLUTE consortium | The RESOLUTE—RESilience management guidelines and Operationalization applied to Urban Transport Environment. Funding from the European Union Horizon 2020 programme under Grant Agreement no. 653460.

  3. https://ec.europa.eu/jrc/en/coin/10-step-guide/step-7

Abbreviations

ACVI:

Anticipate Capacity Variability Index

MCVI:

Monitor Capacity Variability Index

RCVI:

Respond Capacity Variability Index

LCVI:

Learn Capacity Variability Index

SRI:

System Resilience Index

KPI:

Key performance indicator

FDC:

Function dumping capacity

MAIPT:

Minimum acceptance input performance threshold

References

  • Aven T (2011) Quantitative risk assessment: The scientific platform. Cambridge University Press, Cambridge

    Google Scholar 

  • Ayyoob S (2016) A critical review of selected tools for assessing community resilience. Ecol Indic 69:629–647

    Google Scholar 

  • Bagnoli F, Bellini E, Massaro E (2018) A self-organized method for computing the epidemic threshold in computer networks. In: International conference on internet science, pp 119–130

  • Baroud H, Ramirez-Marquez JE, Barker K, Rocco CM (2014) Stochastic measures of network resilience: applications to waterway commodity flows. Risk Anal 34(7):1317–1335

    Google Scholar 

  • Bartolozzi M, Pantaleo G, Nesi P, Bellini P, Santi L (2015) Smart decision support system. In: International conference on Smart City. IEEE

  • Bellini E, Martelli C (2012) The role of the semantic approach to complex statistical information system planning and management. In: International conference on signal-image technology & internet-based systems. IEEE, Naples, pp 876–883

  • Bellini E, Nesi P (2013) Metadata quality assessment tool for open access cultural heritage institutional repositories. In: 2nd international conference on information technologies for performing arts, media access and entertainment, ECLAP 2013. Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), pp 90–103

  • Bellini E, Nesi P (2018) Exploiting smart technologies to build smart resilient cities. In: Gardoni P (ed) Routledge handbook of sustainable and resilient infrastructure. Routledge, London, pp 685–705

    Google Scholar 

  • Bellini P, Nesi P, Rauch N, Benigni M, Billero R (2014) Km4City ontology building vs data harvesiting and cleaning for smart city service. Elsevier, Amsterdam

    Google Scholar 

  • Bellini E, Nesi P, Coconea L, Gaitanidou E, Ferreira P, Simoes A, Candelieri A (2016a) Towards resilience operationalization in urban transport system: the RESOLUTE project approach. In: Walls L, Revie M, Bedford T (eds) Risk, reliability and safety: innovating theory and practice. Taylor and Francis, London, pp 2110–2117

    Google Scholar 

  • Bellini E, Nesi P, Pantaleo G, Venturi A (2016b) Functional resonance analysis method based-decision support tool for urban transport system resilience management. In: IEEE international smart cities conference (ISC2). IEEE.

  • Bellini E, Ceravolo P, Nesi P (2017) Quantify resilience enhancement of UTS through exploiting connected community and internet of everything emerging technologies. ACM Trans Internet Technol 18(1):34. https://doi.org/10.1145/3137572

    Article  Google Scholar 

  • Bellini E, Bagnoli F, Ganin A, Linkov I (2019a) Cyber Resilience in IoT network: Methodology and example of assessment through epidemic spreading approach. In: IEEE World Congress on Services (SERVICES), pp 72–77

  • Bellini E, Coconea L, Nesi P (2019b) A functional resonance analysis method driven resilience quantification for socio-technical systems. IEEE Syst J. https://doi.org/10.1109/JYST.2019.2905713

    Article  Google Scholar 

  • Bellini E, Bellini P, Cenni D, Nesi P, Paoli I, Paolucci M (2020) An IoE and big multimedia data approach for urban transport system management in smart resilient city. Sustain Comput Inform Syst

  • Boin A, Comfort L, Demchak C (2010) Designing resilience: preparing for extreme events. The University of Pittsburgh Press, Pittsburgh

    Google Scholar 

  • Ceravolo P, Bellini E (2019) Towards configurable composite data quality assessment. In: 21st Conference on Business Informatics 8CBI). IEEE, pp 249–257

  • Coaffee J, Clarke J (2017) Realising critical infrastructure resilience. In: Linkov I, PalmaOlivera J (eds) Resilience and risk. Springer, Berlin

    Google Scholar 

  • Collier Z, Linkov I (2014) Decision making for resilience within the context of network centric operation. 19th ICCRTS

  • Como G, Savla K, Acemoglu D, Dahleh M, Frazzoli E (2013) Robust distributed routing in dynamical networks–part II: Strong resilience. Equilibrium selection and cascaded failures. IEEE Trans Autom Control 58(2):333–348

    Google Scholar 

  • Cutter SL (2015) The landscape of disaster resilience indicators in the USA. Nat Hazard 80(2):154–157

    Google Scholar 

  • Eurpean Commission (2008a) Proposal for a Council Decision on a Critical Infrastructure Warning Information Network (CIWIN), COM (2008) 676 final. European Commission, Brussels

    Google Scholar 

  • Eurpean Commission (2008b) COUNCIL DIRECTIVE 2008/114/EC on the identification and designation of European critical infrastructures and the assessment of the need to improve their protection. Off J Eur Union 345:75–87

    Google Scholar 

  • Eurpean Commission (2012) Commission staff working document on the review of the European programme for critical infrastructure protection (EPCIP), SWD (2012) 190 final. European Commission, Brussels

    Google Scholar 

  • Eurpean Commission (2013) Commission staff working document on a new approach to the European Programme for Critical Infrastructure Protection Making European Critical Infrastructures more secure, SWD(2103)318 final. European Commisssion, Brussels

    Google Scholar 

  • European Commission (2018) European commission, migration and home affairs. https://ec.europa.eu/home-affairs/what-we-do/policies/crisis-and-terrorism/critical-infrastructure_en

  • Ferreira P, Bellini E (2018) Managing interdependencies in critical infrastructures: a cornerstone for system resilience. CRC Press, Boca Raton

    Google Scholar 

  • Freeman L (1979) Centrality in social networks: Conceptual clarification. Soc Netw 1(3):215–239

    Google Scholar 

  • Gabriella P, Yager R (2003) Modeling the concept of fuzzy majority opinion. In: International fuzzy systems association world congress. Springer, Berlin, pp 143–150

  • Gaitanidou E, Bellini E, Ferreira P (2018) European Resilience Management Guidelines. Deliverable 3.6 of the H2020 RESOLUTE project

  • Gaitanidou E, Tsami M, Coconea L, Candelieri A, Ferreira P, Simoes A et al (2016) ERMG adaptation to UTS. Del 3.7 of the H2020 RESOLUTE project

  • Grote G (2004) Uncertainty management at the core of system design. Annu Rev Control 28:267–274

    Google Scholar 

  • Grote G (2009) Management of uncertainty: Theory and application in the design of systems and organizations. Springer, Cranfield, UK

    Google Scholar 

  • Häring I, Sansavini G, Bellini E, Martyn N, Kovalenko T, Kitsak M, Vogelbacher G, Ross K, Bergerhausen U, Barker K, Linkov I (2017) Towards a generic resilience management, quantification and development process: general definitions, requirements, methods, techniques and measures, and case studies. In: Linkov I, Palma-Oliveira JM (eds) NATO series—resilience and risk. Springer, Berlin

    Google Scholar 

  • Henry D, Ramirez-Marquez JE (2012) Generic metrics and quantitative approaches for system resilience as a function of time. Reliab Eng Syst Saf 99:114–122

    Google Scholar 

  • Holling C (2010) Engineering resilience versus ecological resilience. In: Gunderson LA (ed) Foundations of ecological resilience. Academic Press, Cambridge, pp 51–55

    Google Scholar 

  • Holling CS, Gunderson L, Peterson G (2002) Sustainability and panarchies. In: Gunderson LH, Holling CS (eds) Panarchy: understanding transformations in human and natural systems. Island Press, Washington DC, pp 63–102

    Google Scholar 

  • Hollnagel E (1998) Cognitive reliability and error analysis method—CREAM. Elsevier Science, Oxford

    Google Scholar 

  • Hollnagel E (2004) Barriers and accident prevention. Ashgate, Aldershot

    Google Scholar 

  • Hollnagel E (2009a) Τhe ETTO principle: efficency throughness trade off: why that go right somethimes go wrong. Ashgate, Farnham

    Google Scholar 

  • Hollnagel E (2009b) The four cornerstones of resilience engineering. In: Nemeth EHCP (ed) Resilience engineering perspective, vol. 2. of preparation and restoration. Ashgate, Aldershot

    Google Scholar 

  • Hollnagel E (2011a) Epilogue RAG- Resilience Analysis Grid. In: Hollnagel EP (ed) Resilience engineering perspectives Volume 3: resilience engineering in practice. Ashgate, Farnham

    Google Scholar 

  • Hollnagel E (2011b) Prologue: the scope of resilience engineering. In: Hollnagel E, Paries J, Woods DW (eds) Resilience engineerng in practice: a guidebook. Ashgate, Farnham

    Google Scholar 

  • Hollnagel E (2012) FRAM: the functional resonance analysis method: modelling complex socio-technical systems. Ashgate, Farnham

    Google Scholar 

  • Hollnagel E (2017) Safety-II in Practice: Developing the Resilience Potentials. Routledge

  • Jackson S (2010) Architecting resilient systems: Accident avoidance and survival and recovery from disruption. Wiley, New York

    Google Scholar 

  • 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. Springer, Berlin, pp 285–311

    Google Scholar 

  • Linkov I, Fox-Lent C, Read L, Allen CR, Arnott JC, Bellini E, Coaffee J, Florin MV, Hatfield K, Hyde I, Hynes W (2018) Tiered approach to resilience assessment: tiered approach to resilience assessment. Risk Anal 38(9):1772–1780

    Google Scholar 

  • Martelli C, Bellini E, Salvatori MF (2015) Knowledge management and reuse in tourism destination observatories. Int J Knowl Learn 10(1):1–15

    Google Scholar 

  • Mazziotta M, Pareto A (2016) A well-being index based on the weighted product metho. In: Alleva G, Giommi A (eds) Studies in theoretical and applied statistics. Springer, Cham

    Google Scholar 

  • National Academies (2018) https://www.nationalacademies.org/topics/resilience

  • NCIS R&D (2015) National critical infrastructure security and resilience research and development plan. NCIS Homeland Security, Virginia

    Google Scholar 

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

    Google Scholar 

  • RESOLUTE project (2018) RESOLUTE project website. www.resolute-eu.org

  • Sands D (2015) An innovative scorecard for evaluating resiliency in our cities. Planet @ Risk 3(1):154–157

    Google Scholar 

  • Save L, Branlat M, Hynes W, Bellini E, Ferreira P, Lauteritz JP, Gonzalez JJ (2018) The development of resilience management guidelines to protect critical infrastructures in Europe. In: Congress of the International Ergonomics Association. Springer, Cham, pp 598–606

  • Vajda A, Tuomenvirta H, Jokinen P, Luomaranta A, Makkonen L, Tikanmäki M, Groenemeijer P, Saarikivi P, Michaelides S, Papadakis M, Tymvios F (2011) Probabilities of adverse weather affecting transport in Europe: climatology and scenarios up to the 2050s. Deliverable 2.1 of the RTD-project EWENT (Extreme weather impacts on European networks of transport) funded by the EC under FP7

  • Volpe (2013) Beyond bouncing back: A roundtable on critical transportation infrastructure resilience. U.S Department of Transportation, Research and Innovative Technology Administration, Washington, DC

    Google Scholar 

  • Vugrin E, Warren D, Ehlen M, Camphouse C (2010) A framework for assessing resilience of infrastructure and economic systems. In: Gopalakrishnan KP (ed) Sustainable and resilient critical infrastructure systems: simulation, modelling and intelligent engineering. Springer-Verlag, Berlin, pp 77–116

    Google Scholar 

  • Westrum R (2006) A typology of resilience situations. In: Hollnagel E, Woods DD, Leveson NG (eds) Resilience engineering: concepts and precepts. Ashgate, Aldershot, pp 55–65

    Google Scholar 

  • Williams PR, Nolan M, Panda A (2014) Disaster resilience scorecard for cities. UNISDR, Geneva

    Google Scholar 

  • Wilson JR (2009) Understanding safety and production risks in rail engineering planning and protection. Ergonomics 52(7):774–790

    Google Scholar 

  • Woltjer R (2006) Resilience assessment based on models of functional resonance. In: Proceedings of the 3rd symposium on resilience engineering.

  • Zhou P, Ang B (2009) Comparing MCDA aggregation methods in constructing composite indicators using the Shannon-Spearman measure. Soc Indic Res 94:83–96

    Google Scholar 

Download references

Acknowledgements

This work has been supported by the RESOLUTE project (www.RESOLUTE-eu.org) and has been funded within the European Commission’s H2020 Programme under Contract Number 653460. For the implementation of this work, the authors were supported by the total of the RESOLUTE Consortium partners, whose contributions were valuable. This paper expresses the opinions of the authors and not necessarily those of the European Commission. The European Commission is not liable for any use that may be made of the information contained in this paper.

Funding

This work has been funded by the European Commission’s H2020 Programme, within the RESOLUTE project (www.RESOLUTE-eu.org), under contract number 653460.

Author information

Authors and Affiliations

  1. University of Campania “Vanvitelli”, Caserta, Italy

    Emanuele Bellini

  2. Centre for Research and Technology Hellas/Hellenic Institute of Transport, Thessaloniki, Greece

    Evangelia Gaitanidou & Evangelos Bekiaris

  3. Instituto Superior Técnico, Centre for Marine Technology and Ocean Engineering (CENTEC), University of Lisbon, Lisbon, Portugal

    Pedro Ferreira

Authors
  1. Emanuele Bellini
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Evangelia Gaitanidou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Evangelos Bekiaris
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Pedro Ferreira
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Emanuele Bellini.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bellini, E., Gaitanidou, E., Bekiaris, E. et al. The RESOLUTE project’s European Resilience Management Guidelines for Critical Infrastructure: development, operationalisation and testing for the urban transport system. Environ Syst Decis 40, 321–341 (2020). https://doi.org/10.1007/s10669-020-09765-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10669-020-09765-0

Keywords

Search

Navigation