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Citation |
Baroud H, Barker K, Ramirez-Marquez JE, Rocco S. CM. Transp. Res. E Logist. Transp. Rev. 2014; 62: 55-67. |
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Copyright |
(Copyright © 2014, Elsevier Publishing) |
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DOI |
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PMID |
unavailable |
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Abstract |
This work demonstrates a time-dependent paradigm for resilience and associated stochastic metrics in a waterway transportation context. We deploy two stochastic resilience-based component importance measures that highlight the critical waterway links that contribute to waterway network resilience and develop an optimization approach that determines the order in which disrupted links should be recovered for improved resilience. A data-driven case study illustrates these metrics to describe commodity flows along the various links of the US Mississippi River Navigation System. |