Quantifying the resilience of an urban traffic-electric power coupled system
Transportation system resilience has been the subject of several recent studies. To assess the resilience of a transportation network, however, it is essential to model its interactions with and reliance on other lifelines. Prior works might consider these interactions implicitly, perhaps in the for...
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| Published in | Reliability engineering & system safety Vol. 163; pp. 79 - 94 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.07.2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0951-8320 1879-0836 |
| DOI | 10.1016/j.ress.2017.01.026 |
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| Abstract | Transportation system resilience has been the subject of several recent studies. To assess the resilience of a transportation network, however, it is essential to model its interactions with and reliance on other lifelines. Prior works might consider these interactions implicitly, perhaps in the form of hazard impact scenarios wherein services from a second lifeline (e.g. power) are precluded due to a hazard event. In this paper, a bi-level, mixed-integer, stochastic program is presented for quantifying the resilience of a coupled traffic-power network under a host of potential natural or anthropogenic hazard-impact scenarios. A two-layer network representation is employed that includes details of both systems. Interdependencies between the urban traffic and electric power distribution systems are captured through linking variables and logical constraints. The modeling approach was applied on a case study developed on a portion of the signalized traffic-power distribution system in southern Minneapolis. The results of the case study show the importance of explicitly considering interdependencies between critical infrastructures in transportation resilience estimation. The results also provide insights on lifeline performance from an alternate power perspective.
•Model interdependent infrastructure systems.•Provide method for quantifying resilience of coupled traffic and power networks.•Propose bi-level, mixed-integer, stochastic program.•Take a multi-hazard, stochastic futures approach. |
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| AbstractList | Transportation system resilience has been the subject of several recent studies. To assess the resilience of a transportation network, however, it is essential to model its interactions with and reliance on other lifelines. Prior works might consider these interactions implicitly, perhaps in the form of hazard impact scenarios wherein services from a second lifeline (e.g. power) are precluded due to a hazard event. In this paper, a bi-level, mixed-integer, stochastic program is presented for quantifying the resilience of a coupled traffic-power network under a host of potential natural or anthropogenic hazard-impact scenarios. A two-layer network representation is employed that includes details of both systems. Interdependencies between the urban traffic and electric power distribution systems are captured through linking variables and logical constraints. The modeling approach was applied on a case study developed on a portion of the signalized traffic-power distribution system in southern Minneapolis. The results of the case study show the importance of explicitly considering interdependencies between critical infrastructures in transportation resilience estimation. The results also provide insights on lifeline performance from an alternate power perspective.
•Model interdependent infrastructure systems.•Provide method for quantifying resilience of coupled traffic and power networks.•Propose bi-level, mixed-integer, stochastic program.•Take a multi-hazard, stochastic futures approach. |
| Author | Moryadee, Seksun Fotouhi, Hossein Miller-Hooks, Elise |
| Author_xml | – sequence: 1 givenname: Hossein surname: Fotouhi fullname: Fotouhi, Hossein email: hfotouhi@gmu.edu organization: Sid and Reva Dewberry Department of Civil, Environmental and Infrastructure Engineering, George Mason University, 4400 University Drive, MS 6C1, Fairfax, VA 22030, USA – sequence: 2 givenname: Seksun surname: Moryadee fullname: Moryadee, Seksun email: seksun.mor@gmail.com organization: Ordnance Engineering Department, Chulachomklao Royal Military Academy, Thailand – sequence: 3 givenname: Elise surname: Miller-Hooks fullname: Miller-Hooks, Elise email: miller@gmu.edu organization: Sid and Reva Dewberry Department of Civil, Environmental and Infrastructure Engineering, George Mason University, 4400 University Drive, MS 6C1, Fairfax, VA 22030, USA |
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| Keywords | Transportation resilience quantification Critical infrastructure interdependencies Failure scenarios Risk management Uncertainty analysis Traffic-electric coupled system |
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| SubjectTerms | Critical infrastructure interdependencies Failure scenarios Risk management Traffic-electric coupled system Transportation resilience quantification Uncertainty analysis |
| Title | Quantifying the resilience of an urban traffic-electric power coupled system |
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