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Clustering Approach for Defining Hurricane Evacuation Zones
AbstractIn the aftermath of recent hurricanes, many people either died or were stranded in the affected areas due to lack of time for evacuation caused by traffic congestion on evacuation routes. The main sources of traffic congestion are the unnecessary evacuation of the areas located outside evacu...
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Published in: | Journal of urban planning and development 2016-12, Vol.142 (4) |
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container_title | Journal of urban planning and development |
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creator | Lim, Gino J Zangeneh, Shabnam Kim, Seon Jin |
description | AbstractIn the aftermath of recent hurricanes, many people either died or were stranded in the affected areas due to lack of time for evacuation caused by traffic congestion on evacuation routes. The main sources of traffic congestion are the unnecessary evacuation of the areas located outside evacuation zones as well as early evacuation of the less dangerous areas. In this paper, a set of evacuation zones is defined to prioritize the evacuation based on the danger level in the impact areas during a hurricane landfall. A clustering analysis approach is used to formulate this problem and is solved using dynamic programming. The proposed approach is examined on a case study in Harrison County, Mississippi, to prove its applicability. |
doi_str_mv | 10.1061/(ASCE)UP.1943-5444.0000323 |
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The proposed approach is examined on a case study in Harrison County, Mississippi, to prove its applicability.</description><subject>Cluster analysis</subject><subject>Clustering</subject><subject>Dangerous</subject><subject>Dynamic programming</subject><subject>Evacuation routing</subject><subject>Hurricanes</subject><subject>Technical Papers</subject><subject>Traffic congestion</subject><subject>Urban planning</subject><issn>0733-9488</issn><issn>1943-5444</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqNkE9Lw0AQxRdRsFa_Q_BUD6m72cn-0VOJ0QoFC9qLl2Wz3WhKmtTdRPDbu6GlN8G5DAzvvXn8ELomeEowI7eT2WuW36yWUyKBxikATHEYmtATNDreTtEIc0pjCUKcowvvNxgT4JiO0H1W976zrmo-otlu51ptPqOyddGDLatmuM575yqjGxvl39r0uqvaJnpvG-sv0Vmpa2-vDnuMVo_5WzaPFy9Pz9lsEWsgoosJ5ryklNiikFSHt0BJwni5TjCDlMkEpExBJHZdWMOpNIlhqWSJlkQLnhZ0jCb73FDvq7e-U9vKG1vXoVTbe0VEyAHgAv4hBQY4DRWC9G4vNa713tlS7Vy11e5HEawGuEoNcNVqqQaQagCpDnCDme3NOqSrTdu7JhA4Ov82_gKBLXvI</recordid><startdate>20161201</startdate><enddate>20161201</enddate><creator>Lim, Gino J</creator><creator>Zangeneh, Shabnam</creator><creator>Kim, Seon Jin</creator><general>American Society of Civil Engineers</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20161201</creationdate><title>Clustering Approach for Defining Hurricane Evacuation Zones</title><author>Lim, Gino J ; Zangeneh, Shabnam ; Kim, Seon Jin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a418t-1077f331ebb93a470431267fd206456924995482edbec739c2c65962a91a875b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Cluster analysis</topic><topic>Clustering</topic><topic>Dangerous</topic><topic>Dynamic programming</topic><topic>Evacuation routing</topic><topic>Hurricanes</topic><topic>Technical Papers</topic><topic>Traffic congestion</topic><topic>Urban planning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lim, Gino J</creatorcontrib><creatorcontrib>Zangeneh, Shabnam</creatorcontrib><creatorcontrib>Kim, Seon Jin</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of urban planning and development</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lim, Gino J</au><au>Zangeneh, Shabnam</au><au>Kim, Seon Jin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clustering Approach for Defining Hurricane Evacuation Zones</atitle><jtitle>Journal of urban planning and development</jtitle><date>2016-12-01</date><risdate>2016</risdate><volume>142</volume><issue>4</issue><issn>0733-9488</issn><eissn>1943-5444</eissn><abstract>AbstractIn the aftermath of recent hurricanes, many people either died or were stranded in the affected areas due to lack of time for evacuation caused by traffic congestion on evacuation routes. 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subjects | Cluster analysis Clustering Dangerous Dynamic programming Evacuation routing Hurricanes Technical Papers Traffic congestion Urban planning |
title | Clustering Approach for Defining Hurricane Evacuation Zones |
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