Skip to main content

Supporting Decision-Making Through Methodological Scenario Refinement: The PREVENT Project

  • Chapter
  • First Online:
Technology Development for Security Practitioners

Abstract

Terrorism is an emerging and continuously growing worldwide threat, with numerous attacks over the last years. Mass transportation systems hold a unique position as possible targets for such attacks. Earlier detection of terrorists and potentially dangerous objects, tracking of detected individuals or situations and coordination of first responders, are critical actions that will mitigate the terrorism-related risks. PREVENT as an EU-funded initiative focuses on the identification of the commonly shared challenge of the practitioners in the field of transport security in European level for preempting attacks, following a progressive and iterative methodological approach.

Within this chapter, the scenario-based framework developed and followed to conclude with the Common Challenge for the future procurement is further analyzed pinpointing the potential enhancement that will be offered to public transport operators. Based on the project results, a multidimensional roadmap of innovations and solutions is elaborated.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://www.businessinsider.com/chinese-company-claims-its-facial-recognition-95-accurate-masks-2020-3

  2. 2.

    Article 10 Regulation (EU) 2018/1725.

  3. 3.

    Article 9 GDPR, Article 10 Law Enforcement Directive.

  4. 4.

    https://www.iplytics.com/

Bibliography

  1. PREVENT – PRocurEments of innoVativE, advaNced systems to support security in public Transport, Grant Agreem. No 833444 Horizon 2020 Eur. Union. (2019).

    Google Scholar 

  2. Multi-criteria analysis: A manual. (2009, January). London: Department for Communities and Local Government, ISBN: 978-1-4098-1023-0.

    Google Scholar 

  3. Noleppa, S. (2013, December). Economic approaches for assessing climate change adaptation options under uncertainty: Excel tools for Cost-Benefit and Multi-Criteria Analysis. Eschborn: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH.

    Google Scholar 

  4. Ribeiro, F., Ferreira, P., & Araújo, M. Evaluating future scenarios for the power generation sector using a Multi-Criteria Decision Analysis (MCDA) tool: The Portuguese case. https://repositorium.sdum.uminho.pt/bitstream/1822/26142/1/Ribeiro%202013.pdf. Last accessed 2020/07/20.

  5. Hedel, R., et al. (2018). Assessment of the European Programme for Critical Infrastructure Protection in the surface transport sector. International Journal of Critical Infrastructures, 14(4), 311–335.

    Article  Google Scholar 

  6. Chermack, T. J. (2004, April). Improving decision-making with scenario planning. Futures, 36(3), 295–309.

    Article  Google Scholar 

  7. European Interoperability Framework (EIF) of the ISA programme. https://ec.europa.eu/isa2/sites/isa/files/eif_brochure_final.pdf. Last accessed 2020/07/20.

  8. Organisation for Economic Co-operation and Development. Methodology for Assessment of National Procurement Systems (Version 4). 2006. Available at: http://www.oecd.org/dataoecd/1/36/37390076.pdf. The User’s Guide (Section 1) of the document provides very helpful guidance on conducting procurement assessments. Last accessed 2020/07/20.

  9. Saari, D. G. (1985, February). The optimal ranking method in the Borda count. IIASA Collaborative Paper. https://core.ac.uk/download/pdf/52944585.pdf. Last accessed 2020/07/20.

  10. Technology Readiness Levels (TRL), EC. https://ec.europa.eu/research/participants/data/ref/h2020/wp/2014_2015/annexes/h2020-wp1415-annex-g-trl_en.pdf . Last accessed 2020/07/22.

Download references

Acknowledgments

PREVENT project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement no. 833444. The content of this chapter reflects only the author’s view, and the European Union is not responsible for any use that might be made of such content.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Maria Kampa .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Kampa, M., Kampas, G., Gkotsis, I., Bouali, Y., Baquedano, A.P., Iguerwane, R. (2021). Supporting Decision-Making Through Methodological Scenario Refinement: The PREVENT Project. In: Akhgar, B., Kavallieros, D., Sdongos, E. (eds) Technology Development for Security Practitioners. Security Informatics and Law Enforcement. Springer, Cham. https://doi.org/10.1007/978-3-030-69460-9_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-69460-9_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69459-3

  • Online ISBN: 978-3-030-69460-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics