Assessing the vulnerability of infrastructure networks based on distribution measures
•A distributional metric for infrastructure vulnerability is proposed.•Its effectiveness is illustrated through power, transport and water supply networks.•Uncertainty in the vulnerability assessment of high-order disruption scenarios is quantified.•Vulnerability analysis framework is formalised. In...
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| Published in: | Reliability engineering & system safety Vol. 196; p. 106743 |
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| Abstract | •A distributional metric for infrastructure vulnerability is proposed.•Its effectiveness is illustrated through power, transport and water supply networks.•Uncertainty in the vulnerability assessment of high-order disruption scenarios is quantified.•Vulnerability analysis framework is formalised.
Infrastructure networks enable communities to be resilient by distributing essential services and supporting the relief and recovery actions necessary to bounce back from disruptive events. In order for infrastructures to play this central role, their own vulnerability needs to be assessed and managed. In this paper, a new distributional metric for vulnerability assessment is presented. Unlike existing methodologies, it aims at producing a characterisation of infrastructure vulnerability which accounts in full for the variability of the service delivery performance across disruption scenarios. The applications of the metric to theoretical configurations as well as real infrastructure networks are exemplified. These examples demonstrate that the proposed metric enables transparent and comprehensive information on the vulnerability of infrastructure networks. It is noted that the use of average values of system performance under different disruption scenarios may lead to unsafe conclusions about the system vulnerability. The proposed approach is also able to quantify the uncertainty in the vulnerability assessment of high-order scenarios. The paper also shows how the formalisation of the building blocks of vulnerability analysis made here, unifies many of the other methodologies found in the literature. |
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| AbstractList | •A distributional metric for infrastructure vulnerability is proposed.•Its effectiveness is illustrated through power, transport and water supply networks.•Uncertainty in the vulnerability assessment of high-order disruption scenarios is quantified.•Vulnerability analysis framework is formalised.
Infrastructure networks enable communities to be resilient by distributing essential services and supporting the relief and recovery actions necessary to bounce back from disruptive events. In order for infrastructures to play this central role, their own vulnerability needs to be assessed and managed. In this paper, a new distributional metric for vulnerability assessment is presented. Unlike existing methodologies, it aims at producing a characterisation of infrastructure vulnerability which accounts in full for the variability of the service delivery performance across disruption scenarios. The applications of the metric to theoretical configurations as well as real infrastructure networks are exemplified. These examples demonstrate that the proposed metric enables transparent and comprehensive information on the vulnerability of infrastructure networks. It is noted that the use of average values of system performance under different disruption scenarios may lead to unsafe conclusions about the system vulnerability. The proposed approach is also able to quantify the uncertainty in the vulnerability assessment of high-order scenarios. The paper also shows how the formalisation of the building blocks of vulnerability analysis made here, unifies many of the other methodologies found in the literature. Infrastructure networks enable communities to be resilient by distributing essential services and supporting the relief and recovery actions necessary to bounce back from disruptive events. In order for infrastructures to play this central role, their own vulnerability needs to be assessed and managed. In this paper, a new distributional metric for vulnerability assessment is presented. Unlike existing methodologies, it aims at producing a characterisation of infrastructure vulnerability which accounts in full for the variability of the service delivery performance across disruption scenarios. The applications of the metric to theoretical configurations as well as real infrastructure networks are exemplified. These examples demonstrate that the proposed metric enables transparent and comprehensive information on the vulnerability of infrastructure networks. It is noted that the use of average values of system performance under different disruption scenarios may lead to unsafe conclusions about the system vulnerability. The proposed approach is also able to quantify the uncertainty in the vulnerability assessment of high-order scenarios. The paper also shows how the formalisation of the building blocks of vulnerability analysis made here, unifies many of the other methodologies found in the literature. |
| ArticleNumber | 106743 |
| Author | Galvan, Giulio Agarwal, Jitendra |
| Author_xml | – sequence: 1 givenname: Giulio surname: Galvan fullname: Galvan, Giulio – sequence: 2 givenname: Jitendra surname: Agarwal fullname: Agarwal, Jitendra email: J.Agarwal@bristol.ac.uk |
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| CitedBy_id | crossref_primary_10_1016_j_ress_2024_109956 crossref_primary_10_1016_j_comnet_2024_110200 crossref_primary_10_1016_j_ins_2021_06_067 crossref_primary_10_1061_JITSE4_ISENG_2151 crossref_primary_10_1080_23789689_2022_2134648 crossref_primary_10_1016_j_ress_2020_106921 crossref_primary_10_1016_j_ress_2021_108308 crossref_primary_10_1016_j_ssci_2020_104700 crossref_primary_10_1177_1748006X231187448 |
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| Keywords | Vulnerability analysis Networks Disruption scenarios Infrastructure systems |
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