TY - JOUR
T1 - Importance measures for inland waterway network resilience
AU - Baroud, Hiba
AU - Barker, Kash
AU - Ramirez-Marquez, Jose E.
AU - Rocco S., Claudio M.
PY - 2014/2
Y1 - 2014/2
N2 - 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.
AB - 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.
KW - Importance measures
KW - Inland waterways
KW - Network resilience
UR - http://www.scopus.com/inward/record.url?scp=84890963802&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84890963802&partnerID=8YFLogxK
U2 - 10.1016/j.tre.2013.11.010
DO - 10.1016/j.tre.2013.11.010
M3 - Article
AN - SCOPUS:84890963802
SN - 1366-5545
VL - 62
SP - 55
EP - 67
JO - Transportation Research Part E: Logistics and Transportation Review
JF - Transportation Research Part E: Logistics and Transportation Review
ER -