Community response to hurricane threat: Estimates of household evacuation preparation time distributions

被引:26
|
作者
Lindell, Michael K. [1 ]
Sorensen, John H. [2 ]
Baker, Earl J. [3 ]
Lehman, William P. [4 ]
机构
[1] Univ Washington, Dept Urban Design & Planning, Box 355740, Seattle, WA 98195 USA
[2] Oak Ridge Natl Lab, Oak Ridge, TN 37831 USA
[3] Hazards Management Grp, Tallahassee, FL 32309 USA
[4] US Army Corps Engineers Hydrol Engn Ctr, Davis, CA 95616 USA
基金
美国国家科学基金会;
关键词
Hurricane evacuation models; Preparation time distributions; Mobilization time distributions; Departure delay time distributions; Social milling; TRAVEL DEMAND MODEL; DECISION-MAKING; COMMUNICATION; PREDICTION; SIMULATION;
D O I
10.1016/j.trd.2020.102457
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Household evacuation preparation time distributions are essential when computing evacuation time estimates (ETEs) for hurricanes with late intensification or late changing tracks. Although evacuation preparation times have been assessed by expected task completion times, actual task completion times, and departure delays, it is unknown if these methods produce similar results. Consequently, this study compares data from one survey assessing expected task completion times, three surveys assessing actual task completion times, and three surveys assessing departure delays after receiving a warning. In addition, this study seeks to identify variables that predict household evacuation preparation times. These analyses show that the three methods of assessing evacuation preparation times produce results that are somewhat different, but the differences have plausible explanations. Household evacuation preparation times are poorly predicted by demographic variables, but are better predicted by variables that predict evacuation decisions-perceived storm characteristics, expected personal impacts, and evacuation facilitators.
引用
收藏
页数:10
相关论文
共 7 条
  • [1] Community Response to Hurricane Threat: Estimates of Warning Diffusion Time Distributions
    Lindell, Michael K.
    Sorensen, John H.
    Baker, Earl J.
    Lehman, William P.
    NATURAL HAZARDS REVIEW, 2021, 22 (02)
  • [2] Household Evacuation Decision Making in Response to Hurricane Ike
    Huang, Shih-Kai
    Lindell, Michael K.
    Prater, Carla S.
    Wu, Hao-Che
    Siebeneck, Laura K.
    NATURAL HAZARDS REVIEW, 2012, 13 (04) : 283 - 296
  • [3] Household hurricane evacuation during a dual-threat event: Hurricane Laura and COVID-19
    Greer, Alex
    Huntsman, David
    Wu, Hao-Che
    Murphy, Haley
    Clay, Lauren
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2023, 121
  • [4] Is It Time to Go Yet? Understanding Household Hurricane Evacuation Decisions from a Dynamic Perspective
    Czajkowski, Jeffrey
    NATURAL HAZARDS REVIEW, 2011, 12 (02) : 72 - 84
  • [5] Household Hurricane Evacuation Plan Adaptation in Response to Estimated Travel Delay Provided Prior to Departure
    Bian, Ruijie
    Murray-Tuite, Pamela
    Edara, Praveen
    Triantis, Konstantinos
    NATURAL HAZARDS REVIEW, 2022, 23 (03)
  • [6] Household evacuation preparation time during a cyclone: Random Forest algorithm and variable degree analysis
    Rahman, Md Atikur
    Hokugo, Akihiko
    Ohtsu, Nobuhito
    PROGRESS IN DISASTER SCIENCE, 2021, 12
  • [7] Access to care following injury in Northern Malawi, a comparison of travel time estimates between Geographic Information System and community household reports
    Whitaker, John
    Brunelli, Giulia
    Van Boeckel, Thomas P.
    Dube, Albert
    Amoah, Abena S.
    Rickard, Rory F.
    Leather, Andrew J. M.
    Davies, Justine
    INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED, 2022, 53 (05): : 1690 - 1698