IDEAS home Printed from https://ideas.repec.org/a/bpj/johsem/v17y2020i1p12n4.html
   My bibliography  Save this article

Estimating the Sequencing of Evacuation Destination and Accommodation Type in Hurricanes

Author

Listed:
  • Damera Abhishek

    (Indian Institute of Technology Madras, Department of Civil Engineering, Chennai, India)

  • Gehlot Hemant
  • Ukkusuri Satish

    (Purdue University, Lyles School of Civil Engineering, West Lafayette, IN, USA)

  • Murray-Tuite Pamela

    (Clemson University, Glenn Department of Civil Engineering, Clemson, SC, USA)

  • Ge Yue

    (University of Central Florida, School of Public Administration, Orlando, FL, USA)

  • Lee Seungyoon

    (Purdue University, Brian Lamb School of Communication, West Lafayette, IN, USA)

Abstract

Hurricanes are one of the most dangerous catastrophes faced by the USA. The associated life losses can be reduced by proper planning and estimation of evacuation demand by emergency planners. Traditional evacuation demand estimation involves a sequential process of estimating various decisions such as whether to evacuate or stay, evacuation destination, and accommodation type. The understanding of this sequence is not complete nor restricted to strict sequential ordering. For instance, it is not clear whether the evacuation destination decision is made before the accommodation type decision, or the accommodation type decision is made first or both are simultaneously made. In this paper, we develop a nested logit model to predict the relative ordering of evacuation destination and accommodation type that considers both sequential and simultaneous decision making. Household survey data from Hurricane Matthew is used for computing empirical results. Empirical results underscore the importance of developing a nested structure among various outcomes. In addition to variables related to risk perception and household characteristics, it is found that social networks also affect this decision-making process.

Suggested Citation

  • Damera Abhishek & Gehlot Hemant & Ukkusuri Satish & Murray-Tuite Pamela & Ge Yue & Lee Seungyoon, 2020. "Estimating the Sequencing of Evacuation Destination and Accommodation Type in Hurricanes," Journal of Homeland Security and Emergency Management, De Gruyter, vol. 17(1), pages 1-12, January.
  • Handle: RePEc:bpj:johsem:v:17:y:2020:i:1:p:12:n:4
    DOI: 10.1515/jhsem-2018-0071
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jhsem-2018-0071
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.1515/jhsem-2018-0071?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:johsem:v:17:y:2020:i:1:p:12:n:4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.