Vulnerability assessment framework for interdependent critical infrastructures: case-study for Great Britain's rail network.

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Title: Vulnerability assessment framework for interdependent critical infrastructures: case-study for Great Britain's rail network.
Authors: Pant, Raghav1 raghav.pant@ouce.ox.ac.uk, Hall, Jim W.1 jim.hall@eci.ox.ac.uk, Blainey, Simon P.2 s.p.blainey@soton.ac.uk
Source: European Journal of Transport & Infrastructure Research. 2016, Vol. 16 Issue 1, p174-194. 21p.
Subjects: Railroad research, Railroads, Flood control research
Geographic Terms: United Kingdom
Abstract: Critical infrastructures vulnerability assessment involves understanding various sociotechnological aspects of modern day infrastructures. While vulnerabilities exist at different scales, failures of large-scale installations in infrastructures are significant because they lead towards widespread social and economic disruptions. There is growing awareness of the multiple potential causes of failure, including those due to dependence upon other infrastructures. This paper establishes a framework for national analysis of vulnerability of interdependent infrastructures. We present: (i) A mathematical formulation of the vulnerability assessment; (ii) Network models for infrastructures that take in account the geographic, physical and operational characteristics of connecting nodes and edges; (iii) Interdependency mapping models that establish relationships between different subsystems within and across infrastructures; and (iv) Methods for implementing failure and disruption calculations. The methodology is demonstrated for Great Britain's railway infrastructure, for which we have built detailed interdependency mappings between critical assets and infrastructures that support railway operations. Two key vulnerability assessment results, produced to examine failure impacts of such assets on railway passenger trip flows, include: (i) Random failure outcomes; and (ii) Flood vulnerability outcomes. The results show which critical infrastructure interdependencies potentially have large impacts on railway operations, providing a useful analysis tool for further risk and adaptation planning. [ABSTRACT FROM AUTHOR]
Copyright of European Journal of Transport & Infrastructure Research is the property of European Journal of Transport & Infrastructure Research and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Vulnerability assessment framework for interdependent critical infrastructures: case-study for Great Britain's rail network.
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  Data: <searchLink fieldCode="AR" term="%22Pant%2C+Raghav%22">Pant, Raghav</searchLink><relatesTo>1</relatesTo><i> raghav.pant@ouce.ox.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Hall%2C+Jim+W%2E%22">Hall, Jim W.</searchLink><relatesTo>1</relatesTo><i> jim.hall@eci.ox.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Blainey%2C+Simon+P%2E%22">Blainey, Simon P.</searchLink><relatesTo>2</relatesTo><i> s.p.blainey@soton.ac.uk</i>
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Transport+%26+Infrastructure+Research%22">European Journal of Transport & Infrastructure Research</searchLink>. 2016, Vol. 16 Issue 1, p174-194. 21p.
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  Data: <searchLink fieldCode="DE" term="%22Railroad+research%22">Railroad research</searchLink><br /><searchLink fieldCode="DE" term="%22Railroads%22">Railroads</searchLink><br /><searchLink fieldCode="DE" term="%22Flood+control+research%22">Flood control research</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22United+Kingdom%22">United Kingdom</searchLink>
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  Label: Abstract
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  Data: Critical infrastructures vulnerability assessment involves understanding various sociotechnological aspects of modern day infrastructures. While vulnerabilities exist at different scales, failures of large-scale installations in infrastructures are significant because they lead towards widespread social and economic disruptions. There is growing awareness of the multiple potential causes of failure, including those due to dependence upon other infrastructures. This paper establishes a framework for national analysis of vulnerability of interdependent infrastructures. We present: (i) A mathematical formulation of the vulnerability assessment; (ii) Network models for infrastructures that take in account the geographic, physical and operational characteristics of connecting nodes and edges; (iii) Interdependency mapping models that establish relationships between different subsystems within and across infrastructures; and (iv) Methods for implementing failure and disruption calculations. The methodology is demonstrated for Great Britain's railway infrastructure, for which we have built detailed interdependency mappings between critical assets and infrastructures that support railway operations. Two key vulnerability assessment results, produced to examine failure impacts of such assets on railway passenger trip flows, include: (i) Random failure outcomes; and (ii) Flood vulnerability outcomes. The results show which critical infrastructure interdependencies potentially have large impacts on railway operations, providing a useful analysis tool for further risk and adaptation planning. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of European Journal of Transport & Infrastructure Research is the property of European Journal of Transport & Infrastructure Research and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 174
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      – SubjectFull: Railroad research
        Type: general
      – SubjectFull: Railroads
        Type: general
      – SubjectFull: Flood control research
        Type: general
      – SubjectFull: United Kingdom
        Type: general
    Titles:
      – TitleFull: Vulnerability assessment framework for interdependent critical infrastructures: case-study for Great Britain's rail network.
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            NameFull: Pant, Raghav
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            NameFull: Hall, Jim W.
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            NameFull: Blainey, Simon P.
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              Text: 2016
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              Y: 2016
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