Shelter location and transportation planning under hurricane conditions
► A stochastic bilevel optimization model for shelter locations is proposed. ► Dynamic user equilibrium is used to describe route choice behavior. ► Large-scale real world example is provided for the state of North Carolina. This paper develops a scenario-based bilevel programming model to optimize...
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| Veröffentlicht in: | Transportation research. Part E, Logistics and transportation review Logistics and transportation review, 2012-07, Vol.48 (4), p.715-729 |
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| container_title | Transportation research. Part E, Logistics and transportation review |
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| creator | Li, Anna C.Y. Nozick, Linda Xu, Ningxiong Davidson, Rachel |
| description | ► A stochastic bilevel optimization model for shelter locations is proposed. ► Dynamic user equilibrium is used to describe route choice behavior. ► Large-scale real world example is provided for the state of North Carolina.
This paper develops a scenario-based bilevel programming model to optimize the selection of shelter locations with explicit consideration of a range of possible hurricane events and the evacuation needs under each of those events. A realistic case study for the state of North Carolina is presented. Through the case study, we demonstrate (i) the criticality of considering multiple hurricane scenarios in the location of shelters, and; (ii) the importance of considering the transportation demands of all evacuees when selecting locations for public shelters. |
| doi_str_mv | 10.1016/j.tre.2011.12.004 |
| format | Article |
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This paper develops a scenario-based bilevel programming model to optimize the selection of shelter locations with explicit consideration of a range of possible hurricane events and the evacuation needs under each of those events. A realistic case study for the state of North Carolina is presented. Through the case study, we demonstrate (i) the criticality of considering multiple hurricane scenarios in the location of shelters, and; (ii) the importance of considering the transportation demands of all evacuees when selecting locations for public shelters.</description><identifier>ISSN: 1366-5545</identifier><identifier>EISSN: 1878-5794</identifier><identifier>DOI: 10.1016/j.tre.2011.12.004</identifier><identifier>CODEN: TRERFW</identifier><language>eng</language><publisher>Exeter: Elsevier India Pvt Ltd</publisher><subject>Bilevel programming ; Case studies ; Dynamic traffic assignment ; Heuristic ; Hurricane evacuation ; Hurricanes ; Mathematical programming ; Shelter location ; Shelters ; Site selection ; Stochastic programming ; Studies ; Transportation planning</subject><ispartof>Transportation research. Part E, Logistics and transportation review, 2012-07, Vol.48 (4), p.715-729</ispartof><rights>2012 Elsevier Ltd</rights><rights>Copyright Elsevier Sequoia S.A. Jul 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c454t-690a13e1e100010dcf29114126fa18b0b0e6eb942f9d77e3ed2ed0ceb93ef9433</citedby><cites>FETCH-LOGICAL-c454t-690a13e1e100010dcf29114126fa18b0b0e6eb942f9d77e3ed2ed0ceb93ef9433</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1366554511001566$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Li, Anna C.Y.</creatorcontrib><creatorcontrib>Nozick, Linda</creatorcontrib><creatorcontrib>Xu, Ningxiong</creatorcontrib><creatorcontrib>Davidson, Rachel</creatorcontrib><title>Shelter location and transportation planning under hurricane conditions</title><title>Transportation research. Part E, Logistics and transportation review</title><description>► A stochastic bilevel optimization model for shelter locations is proposed. ► Dynamic user equilibrium is used to describe route choice behavior. ► Large-scale real world example is provided for the state of North Carolina.
This paper develops a scenario-based bilevel programming model to optimize the selection of shelter locations with explicit consideration of a range of possible hurricane events and the evacuation needs under each of those events. A realistic case study for the state of North Carolina is presented. Through the case study, we demonstrate (i) the criticality of considering multiple hurricane scenarios in the location of shelters, and; (ii) the importance of considering the transportation demands of all evacuees when selecting locations for public shelters.</description><subject>Bilevel programming</subject><subject>Case studies</subject><subject>Dynamic traffic assignment</subject><subject>Heuristic</subject><subject>Hurricane evacuation</subject><subject>Hurricanes</subject><subject>Mathematical programming</subject><subject>Shelter location</subject><subject>Shelters</subject><subject>Site selection</subject><subject>Stochastic programming</subject><subject>Studies</subject><subject>Transportation planning</subject><issn>1366-5545</issn><issn>1878-5794</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LxDAQxYMouK5-AG_Fe2smSf_hSRZdhQUP6jlkk6mbpaY1SQW_vSn17GmGx-_NPB4h10ALoFDdHovosWAUoABWUCpOyAqausnLuhWnaedVlZelKM_JRQhHSpOpZCuyfT1gH9Fn_aBVtIPLlDNZ9MqFcfBxkcZeOWfdRzY5k9DD5L3VymGmB2fsjIRLctapPuDV31yT98eHt81TvnvZPm_ud7kWpYh51VIFHAFhTkCN7lgLIIBVnYJmT_cUK9y3gnWtqWvkaBgaqpPEsWsF52tys9wd_fA1YYjyOEzepZeybTmwpuZVgmCBtB9C8NjJ0dtP5X8kUDnXJY8y1SXnuiQwmepKnrvFgyn9t0Uvg7boNBrrUUdpBvuP-xdBenOY</recordid><startdate>20120701</startdate><enddate>20120701</enddate><creator>Li, Anna C.Y.</creator><creator>Nozick, Linda</creator><creator>Xu, Ningxiong</creator><creator>Davidson, Rachel</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></search><sort><creationdate>20120701</creationdate><title>Shelter location and transportation planning under hurricane conditions</title><author>Li, Anna C.Y. ; Nozick, Linda ; Xu, Ningxiong ; Davidson, Rachel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c454t-690a13e1e100010dcf29114126fa18b0b0e6eb942f9d77e3ed2ed0ceb93ef9433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Bilevel programming</topic><topic>Case studies</topic><topic>Dynamic traffic assignment</topic><topic>Heuristic</topic><topic>Hurricane evacuation</topic><topic>Hurricanes</topic><topic>Mathematical programming</topic><topic>Shelter location</topic><topic>Shelters</topic><topic>Site selection</topic><topic>Stochastic programming</topic><topic>Studies</topic><topic>Transportation planning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Anna C.Y.</creatorcontrib><creatorcontrib>Nozick, Linda</creatorcontrib><creatorcontrib>Xu, Ningxiong</creatorcontrib><creatorcontrib>Davidson, Rachel</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>Li, Anna C.Y.</au><au>Nozick, Linda</au><au>Xu, Ningxiong</au><au>Davidson, Rachel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Shelter location and transportation planning under hurricane conditions</atitle><jtitle>Transportation research. Part E, Logistics and transportation review</jtitle><date>2012-07-01</date><risdate>2012</risdate><volume>48</volume><issue>4</issue><spage>715</spage><epage>729</epage><pages>715-729</pages><issn>1366-5545</issn><eissn>1878-5794</eissn><coden>TRERFW</coden><abstract>► A stochastic bilevel optimization model for shelter locations is proposed. ► Dynamic user equilibrium is used to describe route choice behavior. ► Large-scale real world example is provided for the state of North Carolina.
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| ispartof | Transportation research. Part E, Logistics and transportation review, 2012-07, Vol.48 (4), p.715-729 |
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| language | eng |
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| source | Elsevier ScienceDirect Journals |
| subjects | Bilevel programming Case studies Dynamic traffic assignment Heuristic Hurricane evacuation Hurricanes Mathematical programming Shelter location Shelters Site selection Stochastic programming Studies Transportation planning |
| title | Shelter location and transportation planning under hurricane conditions |
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