Modeling Evacuees’ Intended Responses to a Phased Hurricane Evacuation Order

Author:

Bian Ruijie1ORCID,Murray-Tuite Pamela2,Trainor Joseph3,Edara Praveen4,Triantis Konstantinos5

Affiliation:

1. Louisiana Transportation Research Center, Louisiana State University, Baton Rouge, LA 70808, USA

2. Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634, USA

3. Biden School of Public Policy & Administration, University of Delaware, Newark, DE 19716, USA

4. Department of Civil and Environmental Engineering, University of Missouri, Columbia, MO 65211, USA

5. Grado Department of Industrial and Systems Engineering, Virginia Tech, Falls Church, VA 22043, USA

Abstract

Phased evacuation is an under-studied strategy, and relatively little is known about compliance with the phased process. This study modelled households’ responses to a phased evacuation order based on a household behavioral intention survey. About 66% of the evacuees reported that they would comply with a phased evacuation order. A latent class logit model sorted evacuees into two classes (“evacuation reluctant” and “evacuation keen”) by their stakeholder perceptions (i.e., whether government agencies have responsibility for the safety of individuals) and evacuation perceptions (i.e., whether evacuation is an effective protective action), while risk perception becomes non-significant in interpreting their compliance behavior to a phased evacuation order. Those that evacuate to the home of friends/relatives and/or bring more vehicles during evacuation are less likely to follow phased evacuation orders. “Evacuation reluctant” individuals with a longer housing tenure are more likely to follow phased evacuation orders. “Evacuation keen” individuals with a longer travel delay expectation are more likely to comply with phased evacuation orders. This study not only unveiled the impacts of incorporating three psychological perceptions (i.e., risk, stakeholder, and evacuation perceptions) in modeling compliance behavior (e.g., parameter sign/significance shift) but also provides insights of evacuees’ compliance behavior to phased evacuation orders.

Funder

National Science Foundation

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference84 articles.

1. Weather.gov (2019, November 20). Hurricane Irma Local Report/Summary, Available online: https://www.weather.gov/mfl/hurricaneirma.

2. Ellis, R., Sterling, J., and Andone, D. (2019, November 20). Florida Gov. Rick Scott Tells Residents: ‘You Need to Go Right Now’—CNN. CNN, 9 September 2017. Available online: https://www.cnn.com/2017/09/08/us/hurricane-irma-evacuation-florida/index.html.

3. Lindell, M.K., Murray-Tuite, P., Wolshon, B., and Baker, E.J. (2019). Large-Scale Evacuation: The Analysis, Modeling, and Management of Emergency Relocation from Hazardous Areas, Routledge/Taylor & Francis Group. Available online: https://scholar.google.com/scholar?hl=en&as_sdt=0,41&cluster=6776015061174751851.

4. GOHSEP (2019, November 21). Louisiana Emergency Preparedness Guide, Available online: https://gohsep.la.gov/PREPARE/EMERGENCY-PREPAREDNESS-GUIDE.

5. (2019, November 20). SERT Florida Statewide Regional Evacuation Study Program. Available online: http://www.sfrpc.com/SRESP%20Web/Vol1-11_ChIII.pdf.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Impacts of household vulnerability on hurricane logistics evacuation under COVID-19: The case of U.S. Hampton Roads;Transportation Research Part E: Logistics and Transportation Review;2023-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3