IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v92y2007i9p1183-1203.html
   My bibliography  Save this article

Identification of critical locations across multiple infrastructures for terrorist actions

Author

Listed:
  • Patterson, S.A.
  • Apostolakis, G.E.

Abstract

This paper presents a possible approach to ranking geographic regions that can influence multiple infrastructures. Once ranked, decision makers can determine whether these regions are critical locations based on their susceptibility to terrorist acts. We identify these locations by calculating a value for a geographic region that represents the combined values to the decision makers of all the infrastructures crossing through that region. These values, as well as the size of the geographic region, are conditional on an assumed destructive threat of a given size. In our case study, the threat is assumed to be minor, e.g., a bomb that can affect objects within 7m of it.

Suggested Citation

  • Patterson, S.A. & Apostolakis, G.E., 2007. "Identification of critical locations across multiple infrastructures for terrorist actions," Reliability Engineering and System Safety, Elsevier, vol. 92(9), pages 1183-1203.
    • Handle: RePEc:eee:reensy:v:92:y:2007:i:9:p:1183-1203
    DOI: 10.1016/j.ress.2006.08.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832006001840
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2006.08.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zio, Enrico & Podofillini, Luca & Zille, Valérie, 2006. "A combination of Monte Carlo simulation and cellular automata for computing the availability of complex network systems," Reliability Engineering and System Safety, Elsevier, vol. 91(2), pages 181-190.
    2. Karydas, D.M. & Gifun, J.F., 2006. "A method for the efficient prioritization of infrastructure renewal projects," Reliability Engineering and System Safety, Elsevier, vol. 91(1), pages 84-99.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Taillandier, F. & Sauce, G. & Bonetto, R., 2009. "Risk-based investment trade-off related to building facility management," Reliability Engineering and System Safety, Elsevier, vol. 94(4), pages 785-795.
    2. Hua Li & George E. Apostolakis & Joseph Gifun & William VanSchalkwyk & Susan Leite & David Barber, 2009. "Ranking the Risks from Multiple Hazards in a Small Community," Risk Analysis, John Wiley & Sons, vol. 29(3), pages 438-456, March.
    3. Badami, Marco & Fonti, Antonio & Carpignano, Andrea & Grosso, Daniele, 2018. "Design of district heating networks through an integrated thermo-fluid dynamics and reliability modelling approach," Energy, Elsevier, vol. 144(C), pages 826-838.
    4. Durga Rao, K. & Gopika, V. & Sanyasi Rao, V.V.S. & Kushwaha, H.S. & Verma, A.K. & Srividya, A., 2009. "Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment," Reliability Engineering and System Safety, Elsevier, vol. 94(4), pages 872-883.
    5. Coit, David W. & Zio, Enrico, 2019. "The evolution of system reliability optimization," Reliability Engineering and System Safety, Elsevier, vol. 192(C).
    6. Durga Rao, K. & Kushwaha, H.S. & Verma, A.K. & Srividya, A., 2007. "Quantification of epistemic and aleatory uncertainties in level-1 probabilistic safety assessment studies," Reliability Engineering and System Safety, Elsevier, vol. 92(7), pages 947-956.
    7. E Zio & M Librizzi & G Sansavini, 2008. "A combined Monte Carlo and cellular automata approach to the unreliability analysis of binary network systems," Journal of Risk and Reliability, , vol. 222(1), pages 31-38, March.
    8. L Podofillini & E Zio, 2008. "Events group risk importance by genetic algorithms," Journal of Risk and Reliability, , vol. 222(3), pages 337-346, September.
    9. Li, Daqing & Zhang, Qiong & Zio, Enrico & Havlin, Shlomo & Kang, Rui, 2015. "Network reliability analysis based on percolation theory," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 556-562.
    10. Volkanovski, Andrija & ÄŒepin, Marko & Mavko, Borut, 2009. "Application of the fault tree analysis for assessment of power system reliability," Reliability Engineering and System Safety, Elsevier, vol. 94(6), pages 1116-1127.
    11. Andres,Luis Alberto & Biller,S. A. Dan & Herrera Dappe,Matias, 2014. "Infrastructure gap in South Asia : infrastructure needs, prioritization, and financing," Policy Research Working Paper Series 7032, The World Bank.
    12. P Viveros & E Zio & F Kristjanpoller & A Arata, 2012. "Integrated system reliability and productive capacity analysis of a production line. A case study for a Chilean mining process," Journal of Risk and Reliability, , vol. 226(3), pages 305-317, June.
    13. Pascual, R. & Del Castillo, G. & Louit, D. & Knights, P., 2009. "Business-oriented prioritization: A novel graphical technique," Reliability Engineering and System Safety, Elsevier, vol. 94(8), pages 1308-1313.
    14. Junn-Yuan Teng & Wen-Chih Huang & Maw-Cherng Lin, 2010. "Systematic budget allocation for transportation construction projects: a case in Taiwan," Transportation, Springer, vol. 37(2), pages 331-361, March.
    15. Vaibhav Gaur & Om Prakash Yadav & Gunjan Soni & Ajay Pal Singh Rathore, 2021. "A literature review on network reliability analysis and its engineering applications," Journal of Risk and Reliability, , vol. 235(2), pages 167-181, April.
    16. Carnero, MaCarmen, 2006. "An evaluation system of the setting up of predictive maintenance programmes," Reliability Engineering and System Safety, Elsevier, vol. 91(8), pages 945-963.
    17. Chopade, Pravin & Bikdash, Marwan, 2016. "New centrality measures for assessing smart grid vulnerabilities and predicting brownouts and blackouts," International Journal of Critical Infrastructure Protection, Elsevier, vol. 12(C), pages 29-45.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:92:y:2007:i:9:p:1183-1203. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.