Estimating the Sequencing of Evacuation Destination and Accommodation Type in Hurricanes

Damera Abhishek, Gehlot Hemant, Ukkusuri Satish (), Murray-Tuite Pamela, Ge Yue and Lee Seungyoon
Additional contact information
Damera Abhishek: Indian Institute of Technology Madras, Department of Civil Engineering, Chennai, India
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

Journal of Homeland Security and Emergency Management, 2020, vol. 17, issue 1, 12

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.

Keywords: accommodation type; hurricane evacuation destination; nested logit model; relative ordering; sequencing; social networks (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/jhsem-2018-0071 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:johsem:v:17:y:2020:i:1:p:12:n:4

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/jhsem/html

DOI: 10.1515/jhsem-2018-0071

Access Statistics for this article

Journal of Homeland Security and Emergency Management is currently edited by Irmak Renda-Tanali

More articles in Journal of Homeland Security and Emergency Management from De Gruyter
Bibliographic data for series maintained by Peter Golla ().