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European Journal for Security Research

, Volume 4, Issue 2, pp 265–271 | Cite as

A Fast-Track Method for Assessing the Risk of a Terrorist Attack on Transportation Facilities

  • Alexey V. ShvetsovEmail author
  • Maxim A. Shvetsov
Original Article

Abstract

The study reported in this paper was designed to develop a fast-track method for assessing the risk of a terrorist attack on transportation facilities. This method may be of particular significance for transportation systems with numerous facilities, like subways and railroads. For instance, in a situation where there is information that in the coming days a terrorist attack may occur along a subway line, employing this method can enable the experts to promptly determine the facilities (stations) which are the likeliest to be attacked by the terrorists. Upon receipt of the data, the police and security team will be able to go ahead and concentrate the forces around those specific facilities, which should help boost the likelihood of the terrorist attack getting prevented.

Keywords

Transportation security Transportation systems Transportation facilities Terrorist attack Risk assessment 

Notes

References

  1. ASME-ITI (2009) All-hazards risk and resilience. Prioritizing critical infrastructures using the RAMCAP Plus SM approach. ASME Innovative Technologies Institute, LLC. ISBN: 978-0-7918-0287-8. http://files.asme.org/ASMEITI/RAMCAP/17978.pdf. Accessed 15 Mar 2019
  2. Barkakati N, Maurer D, Bowser A, Stattel A (2010) Explosives detection technologies to protect passenger rail. Report to Congressional Committees, GAO-10-898. U.S. Government Accountability Office, WashingtonGoogle Scholar
  3. Bruyelle J-L, O’Neill C, El-Koursi E, Hamelin F, Sartori N, Khoudour L (2014) Improving the resilience of metro vehicle and passengers for an effective emergency response to terrorist attacks. Saf Sci 62:37–45CrossRefGoogle Scholar
  4. Colliard J (2015) Towards integrated railway protection. In: Setola R, Sforza A, Vittorini V, Pragliola C (eds) Railway infrastructure security. Topics in safety, risk, reliability and quality, vol 27. Springer, ChamGoogle Scholar
  5. De Cillis F, De Maggio M, Pragliola C et al (2013) Analysis of criminal and terrorist related episodes in railway infrastructure scenarios. J Homel Secur Emerg Manage 10(2):447–476Google Scholar
  6. Deng Y, Li O, Lu Y (2015) A research on subway physical vulnerability based on network theory and FMECA. Saf Sci 80:127–134CrossRefGoogle Scholar
  7. Edwards FL, Goodrich DC (2014) Exercise handbook: what transportation security and emergency preparedness leaders need to know to improve emergency preparedness. Mineta Transportation Institute report 12-08. Mineta Transportation Institute, San Jose, CaliforniaGoogle Scholar
  8. Edwards FL, Goodrich DC, Griffith J (2016) Emergency management training for transportation agencies. Mineta Transportation Institute report 12-70. Mineta Transportation Institute, San Jose, CaliforniaGoogle Scholar
  9. Faramondi L, Setola R (2019) Identification of vulnerabilities in networked systems: theories, methods, tools and technologies. Crit Infrastruct Secur Resil.  https://doi.org/10.1007/978-3-030-00024-0 Google Scholar
  10. Hasisi B, Perry S, Ilan Y et al (2019) Concentrated and close to home: the spatial clustering and distance decay of lone terrorist vehicular attacks. J Quant Criminol.  https://doi.org/10.1007/s10940-019-09414-z Google Scholar
  11. Heng Yu, Wang Yimin, Wang Feng, Qiu Peiyun (2019) Understanding impacts of security check on passenger flow in a metro station and improving measures: a case study in Guangzhou, China. J Adv Transp.  https://doi.org/10.1155/2019/7438545 Google Scholar
  12. IIIA (2015) NSRAM infrastructure modeling tool. Institute for Infrastructure and Information Assurance (IIIA). http://www.jmu.edu/iiia/wm_library/Network_Security_Risk_Assessment_Modeling_(NSRAM)2.pdf. Accessed 15 Mar 2019
  13. Kelic A, Warren DE, Phillips LR (2008) Cyber and physical infrastructure interdependencies. Sandia reportGoogle Scholar
  14. Krylatov AY, Zakharov VV, Malygin IG (2016) Competitive traffic assignment in road networks. Transp Telecommun J 17(3):212–221.  https://doi.org/10.1515/ttj-2016-0019 CrossRefGoogle Scholar
  15. Larcher M, Forsberg R, Björnstig U, Holgersson A, Solomos G (2015) Effectiveness of finite-element modelling of damage and injuries for explosions inside trains. J Transp Saf Secur 8(1):83–100CrossRefGoogle Scholar
  16. Lievin BA, Nedorchuk BL (2015) Prospects of high technologies in the remote diagnosis of the track. J Inf Technol Appl 5(1):65–71Google Scholar
  17. Lievin BA, Bugaev AS, Ivashov SI, Razevig VV (2013) Distantly piloted aircrafts and the track security. World Transp Transp 11(2):152–157Google Scholar
  18. Lyovin, B. A., Shvetsov, A.V., Setola, R., Shvetsova, S.V., Tessei, M. (in press). Method for Remote Rapid Response to Transportation Security Threats on High Speed Rail Systems. International Journal of Critical InfrastructuresGoogle Scholar
  19. Matsika E, O’Neill O, Battista U, Khosravi M, Laporte A, Munoz E (2016) Development of risk assessment specifications for analysing terrorist attacks vulnerability on metro and light rail systems. Transp Res Procedia 14:1345–1354CrossRefGoogle Scholar
  20. Meyer S (2012) Reducing harm from explosive attacks against railways. Secur J 25(4):23.  https://doi.org/10.1057/sj.2011.23 CrossRefGoogle Scholar
  21. Meyer S, Ekblom P (2012) Specifying the explosion-resistant railway carriage—a ‘bench’ test of the Security Function Framework. J Transp Secur 5(1):69–85CrossRefGoogle Scholar
  22. Nehorayoff A, Benjamin A, Smith D (2016) Aum Shinrikyo’s nuclear and chemical weapons development efforts. J Strat Secur 9(1):35–48CrossRefGoogle Scholar
  23. O’Neill C, Robinson A, Ingleton S (2012) Mitigating the effects of firebombs and blast attacks on metro systems. Procedia Soc Behav Sci 48:3518–3527CrossRefGoogle Scholar
  24. O’Neill C, Robinson AM, Santiago A (2013) Metro vehicle blast testing: mitigating the effects of terrorist attacks on metro vehicles. In: 10th World congress on railway research, 25–28 November 2013, Sydney, AustraliaGoogle Scholar
  25. Optical Risk (2014) Factor analysis of information risk methodology brochure. http://www.optimalrisk.com/Cyber-Security/FAIRMethodology. Accessed 15 Mar 2019
  26. Ortiz DS, Weatherford BA, Greenberg MD, Ecola L (2008) Improving the safety and security of freight and passenger rail in Pennsylvania. RAND Corporation, Santa MonicaCrossRefGoogle Scholar
  27. Seliverstov YA, Seliverstov SA, Malygin IG et al (2017) Development of management principles of urban traffic under conditions of information uncertainty. In: Kravets A, Shcherbakov M, Kultsova M, Groumpos P (eds) Creativity in intelligent technologies and data science. CIT&DS 2017. Communications in computer and information science, vol 754. Springer, Cham.  https://doi.org/10.1007/978-3-319-65551-2_29
  28. Setola R, De Porcellinis S, Sforna M (2009) Critical infrastructure dependency assessment using the input–output inoperability model. Int J Crit Infrastruct Prot 2:170–178CrossRefGoogle Scholar
  29. Setola R, Sforza A, Vittorini V, Pragliola C (2015) Railway infrastructure security. Topics in safety, risk, reliability and quality, (TSRQ, vol 27). Springer, Cham.Google Scholar
  30. Shvetsov AV, Shvetsova SV (2017a) Research of a problem of terrorist attacks in the Metro (Subway, U-Bahn, Underground, MRT, Rapid Transit, Metrorail). Eur J Secur Res 2(2):131–145CrossRefGoogle Scholar
  31. Shvetsov AV, Shvetsova SV (2017b) Protection of high-speed trains against bomb-carrying unmanned aerial vehicles. J Transp Secur 10(3–4):115–126CrossRefGoogle Scholar
  32. Shvetsov AV, Shvetsova SV (2017c) Method of protection of pedestrian zones against the terrorist attacks made by means of cars including off-road vehicles and trucks. Eur J Secur Res.  https://doi.org/10.1007/s41125-017-0018-4 Google Scholar
  33. Shvetsov A et al (2017) The “car-bomb” as a terrorist tool at metro stations, railway terminals and airports. J Transp Secur 10(1–2):31–43CrossRefGoogle Scholar
  34. Shvetsov AV, Sharov VA, Kozyrev VA, Shvetsova SV, Balalaev AS, Shvetsov MA, Gromov VN (2019) Trends of modern terrorism in the metro systems of the world. Eur J Secur Res 4(1):149–156CrossRefGoogle Scholar
  35. Soehnchen A, Barcanescu M (2014) Risk assessment tool for public transport. Transport Research Arena, ParisGoogle Scholar
  36. Starita S, Scaparra MP (2017) Passenger railway network protection: a model with variable post-disruption demand service. J Oper Res Soc.  https://doi.org/10.1057/s41274-017-0255-y Google Scholar
  37. Tripathi K, Borrion H (2016) Safe, secure or punctual? A simulator study of train driver response to reports of explosives on a metro train. Secur J 29(1):87–105CrossRefGoogle Scholar
  38. Yolmeh A, Baykal-Gursoy M (2018) Urban rail patrolling: a game theoretic approach. J Transp Secur.  https://doi.org/10.1007/s12198-018-0187-z Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.North-Eastern Federal UniversityYakutskRussian Federation
  2. 2.Far East State Transport UniversityKhabarovskRussian Federation

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