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    How to Evacuate: Model for Understanding the Routing Strategies during Hurricane Evacuation

    Source: Journal of Transportation Engineering, Part A: Systems:;2014:;Volume ( 140 ):;issue: 001
    Author:
    Arif Mohaimin Sadri
    ,
    Satish V. Ukkusuri
    ,
    Pamela Murray-Tuite
    ,
    Hugh Gladwin
    DOI: 10.1061/(ASCE)TE.1943-5436.0000613
    Publisher: American Society of Civil Engineers
    Abstract: This paper explains a modeling approach that offers better understanding of the routing strategies taken by evacuees to reach a safe destination during hurricane evacuation. Route choice during evacuation is a complex process because evacuees may prefer to take the usual or familiar route on the way to the destination, or they might follow the routes recommended by the emergency officials. Depending on the condition of the traffic stream, sometimes they might switch to a different route to obtain better travel time from the one initially attempted, i.e., the routing behavior is random. By using data from Hurricane Ivan, a mixed (random parameters) logit model is estimated which captures the decision making process on what type of route to select while accounting for the existence of unobserved heterogeneity across households. Estimation findings indicate that the choices of evacuation routing strategy involve a complex interaction of variables related to household location, evacuation characteristics, and socioeconomic characteristics. The findings of this study are useful to determine the manner in which different factions of people select a type of route for a given sociodemographic profile during an evacuation.
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      How to Evacuate: Model for Understanding the Routing Strategies during Hurricane Evacuation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/69643
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorArif Mohaimin Sadri
    contributor authorSatish V. Ukkusuri
    contributor authorPamela Murray-Tuite
    contributor authorHugh Gladwin
    date accessioned2017-05-08T22:02:36Z
    date available2017-05-08T22:02:36Z
    date copyrightJanuary 2014
    date issued2014
    identifier other%28asce%29up%2E1943-5444%2E0000024.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/69643
    description abstractThis paper explains a modeling approach that offers better understanding of the routing strategies taken by evacuees to reach a safe destination during hurricane evacuation. Route choice during evacuation is a complex process because evacuees may prefer to take the usual or familiar route on the way to the destination, or they might follow the routes recommended by the emergency officials. Depending on the condition of the traffic stream, sometimes they might switch to a different route to obtain better travel time from the one initially attempted, i.e., the routing behavior is random. By using data from Hurricane Ivan, a mixed (random parameters) logit model is estimated which captures the decision making process on what type of route to select while accounting for the existence of unobserved heterogeneity across households. Estimation findings indicate that the choices of evacuation routing strategy involve a complex interaction of variables related to household location, evacuation characteristics, and socioeconomic characteristics. The findings of this study are useful to determine the manner in which different factions of people select a type of route for a given sociodemographic profile during an evacuation.
    publisherAmerican Society of Civil Engineers
    titleHow to Evacuate: Model for Understanding the Routing Strategies during Hurricane Evacuation
    typeJournal Paper
    journal volume140
    journal issue1
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/(ASCE)TE.1943-5436.0000613
    treeJournal of Transportation Engineering, Part A: Systems:;2014:;Volume ( 140 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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