Importance measures for inland waterway network resilience
•Defines a resilience paradigm in a transportation network context.•Applies resilience importance measures to inland waterway commodity flows.•Prioritizes disrupted waterway links with perspectives of the two importance measures.•Illustrates methodology with a Mississippi River Navigation System cas...
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Veröffentlicht in: | Transportation research. Part E, Logistics and transportation review Logistics and transportation review, 2014-02, Vol.62, p.55-67 |
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container_title | Transportation research. Part E, Logistics and transportation review |
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creator | Baroud, Hiba Barker, Kash Ramirez-Marquez, Jose E. Rocco S., Claudio M. |
description | •Defines a resilience paradigm in a transportation network context.•Applies resilience importance measures to inland waterway commodity flows.•Prioritizes disrupted waterway links with perspectives of the two importance measures.•Illustrates methodology with a Mississippi River Navigation System case study.
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. |
doi_str_mv | 10.1016/j.tre.2013.11.010 |
format | Article |
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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.</description><identifier>ISSN: 1366-5545</identifier><identifier>EISSN: 1878-5794</identifier><identifier>DOI: 10.1016/j.tre.2013.11.010</identifier><identifier>CODEN: TRERFW</identifier><language>eng</language><publisher>Exeter: Elsevier India Pvt Ltd</publisher><subject>Importance measures ; Inland waterways ; Navigation systems ; Network resilience ; Rivers ; Stochastic models ; Studies ; Water transportation ; Waterways</subject><ispartof>Transportation research. Part E, Logistics and transportation review, 2014-02, Vol.62, p.55-67</ispartof><rights>2013 Elsevier Ltd</rights><rights>Copyright Elsevier Sequoia S.A. Feb 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c389t-16d892045899ac1a2e4ce061022e8c2185768d7415e4eb0d15fdcfc35ec1bc63</citedby><cites>FETCH-LOGICAL-c389t-16d892045899ac1a2e4ce061022e8c2185768d7415e4eb0d15fdcfc35ec1bc63</cites><orcidid>0000-0002-0142-1558</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1366554513001944$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Baroud, Hiba</creatorcontrib><creatorcontrib>Barker, Kash</creatorcontrib><creatorcontrib>Ramirez-Marquez, Jose E.</creatorcontrib><creatorcontrib>Rocco S., Claudio M.</creatorcontrib><title>Importance measures for inland waterway network resilience</title><title>Transportation research. Part E, Logistics and transportation review</title><description>•Defines a resilience paradigm in a transportation network context.•Applies resilience importance measures to inland waterway commodity flows.•Prioritizes disrupted waterway links with perspectives of the two importance measures.•Illustrates methodology with a Mississippi River Navigation System case study.
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.</description><subject>Importance measures</subject><subject>Inland waterways</subject><subject>Navigation systems</subject><subject>Network resilience</subject><subject>Rivers</subject><subject>Stochastic models</subject><subject>Studies</subject><subject>Water transportation</subject><subject>Waterways</subject><issn>1366-5545</issn><issn>1878-5794</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp9kD1PwzAQhi0EEqXwA9giMSf4nNhxYEIVhUqVWLpbrn2RHNqknFOq_ntcyszkk_w-9_Ewdg-8AA7qsStGwkJwKAuAggO_YBPQtc5l3VSXqS6VyqWs5DW7ibHjPEFSTNjTYrsbaLS9w2yLNu4JY9YOlIV-Y3ufHeyIdLDHrMfxMNBnlv7DJmDK37Kr1m4i3v29U7aav65m7_ny420xe1nmrtTNmIPyuhG8krpprAMrsHLIFXAhUDsBWtZK-7oCiRWuuQfZete6UqKDtVPllD2c2-5o-NpjHE037KlPEw1UjYBSgipTCs4pR0OMhK3ZUdhaOhrg5mTIdCYZMidDBsAkQ4l5PjOYtv8OSCa638t8IHSj8UP4h_4B6uduCQ</recordid><startdate>20140201</startdate><enddate>20140201</enddate><creator>Baroud, Hiba</creator><creator>Barker, Kash</creator><creator>Ramirez-Marquez, Jose E.</creator><creator>Rocco S., Claudio M.</creator><general>Elsevier India Pvt Ltd</general><general>Elsevier Sequoia S.A</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><orcidid>https://orcid.org/0000-0002-0142-1558</orcidid></search><sort><creationdate>20140201</creationdate><title>Importance measures for inland waterway network resilience</title><author>Baroud, Hiba ; Barker, Kash ; Ramirez-Marquez, Jose E. ; Rocco S., Claudio M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c389t-16d892045899ac1a2e4ce061022e8c2185768d7415e4eb0d15fdcfc35ec1bc63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Importance measures</topic><topic>Inland waterways</topic><topic>Navigation systems</topic><topic>Network resilience</topic><topic>Rivers</topic><topic>Stochastic models</topic><topic>Studies</topic><topic>Water transportation</topic><topic>Waterways</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baroud, Hiba</creatorcontrib><creatorcontrib>Barker, Kash</creatorcontrib><creatorcontrib>Ramirez-Marquez, Jose E.</creatorcontrib><creatorcontrib>Rocco S., Claudio M.</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Transportation research. Part E, Logistics and transportation review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baroud, Hiba</au><au>Barker, Kash</au><au>Ramirez-Marquez, Jose E.</au><au>Rocco S., Claudio M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Importance measures for inland waterway network resilience</atitle><jtitle>Transportation research. Part E, Logistics and transportation review</jtitle><date>2014-02-01</date><risdate>2014</risdate><volume>62</volume><spage>55</spage><epage>67</epage><pages>55-67</pages><issn>1366-5545</issn><eissn>1878-5794</eissn><coden>TRERFW</coden><abstract>•Defines a resilience paradigm in a transportation network context.•Applies resilience importance measures to inland waterway commodity flows.•Prioritizes disrupted waterway links with perspectives of the two importance measures.•Illustrates methodology with a Mississippi River Navigation System case study.
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subjects | Importance measures Inland waterways Navigation systems Network resilience Rivers Stochastic models Studies Water transportation Waterways |
title | Importance measures for inland waterway network resilience |
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