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International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP) (12th : 2015)
Vulnerability importance measures toward resilience-based network design Barker, Kash; Nicholson, Charles D.; Ramirez-Marquez, Jose E.
Abstract
Network resilience to a disruption is generally considered to be a function of the initial impact of the disruption (the network’s vulnerability) and the trajectory of recovery after the disruption (the network’s recoverability). In the context of network resilience, this work develops and compares several flow-based importance measures to prioritize network edges for the implementation of preparedness options. For a particular preparedness option and particular geographically located disruption, we compare the different importance measures in their resulting network vulnerability, as well as network resilience for a general recovery strategy. Results suggest that a weighted flow capacity rate, which accounts for both (i) the contribution of an edge to maximum network flow and (ii) the extent to which the edge is a bottleneck in the network, shows most promise across four instances of varying network sizes and densities.
Item Metadata
Title |
Vulnerability importance measures toward resilience-based network design
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Creator | |
Contributor | |
Date Issued |
2015-07
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Description |
Network resilience to a disruption is generally considered to be a function of the initial
impact of the disruption (the network’s vulnerability) and the trajectory of recovery after the disruption
(the network’s recoverability). In the context of network resilience, this work develops and compares
several flow-based importance measures to prioritize network edges for the implementation of
preparedness options. For a particular preparedness option and particular geographically located
disruption, we compare the different importance measures in their resulting network vulnerability, as
well as network resilience for a general recovery strategy. Results suggest that a weighted flow
capacity rate, which accounts for both (i) the contribution of an edge to maximum network flow and (ii)
the extent to which the edge is a bottleneck in the network, shows most promise across four instances
of varying network sizes and densities.
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Genre | |
Type | |
Language |
eng
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Notes |
This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.
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Date Available |
2015-05-15
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivs 2.5 Canada
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DOI |
10.14288/1.0076058
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URI | |
Affiliation | |
Citation |
Haukaas, T. (Ed.) (2015). Proceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP12), Vancouver, Canada, July 12-15.
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Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivs 2.5 Canada