{"id":263,"date":"2020-11-21T22:22:04","date_gmt":"2020-11-22T02:22:04","guid":{"rendered":"http:\/\/sites.nd.edu\/sisi-meng\/?page_id=263"},"modified":"2023-12-23T15:27:38","modified_gmt":"2023-12-23T19:27:38","slug":"hurricane-evacuation-behavior","status":"publish","type":"page","link":"https:\/\/sites.nd.edu\/sisi-meng\/hurricane-evacuation-behavior\/","title":{"rendered":"Hurricane Evacuation Behavior"},"content":{"rendered":"<h5><span style=\"color: #0000ff\"><strong>Understanding household evacuation preference for future hurricanes amid the COVID-19 pandemic in Puerto Rico<\/strong><\/span><\/h5>\n<p><strong>Meng, S.*<\/strong>, Halim, N., Karra, M. &amp; Mozumder, P. (2024). Understanding Household Evacuation Preferences During the COVID-19 Pandemic in Puerto Rico.\u00a0<em>Safety Science<\/em>, 171: 106405. <a href=\"https:\/\/doi.org\/10.1016\/j.ssci.2023.106405\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1016\/j.ssci.2023.106405<\/a><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-864 alignleft\" src=\"http:\/\/sites.nd.edu\/sisi-meng\/files\/2023\/11\/Figure1.png\" alt=\"\" width=\"472\" height=\"314\" srcset=\"https:\/\/sites.nd.edu\/sisi-meng\/files\/2023\/11\/Figure1.png 1695w, https:\/\/sites.nd.edu\/sisi-meng\/files\/2023\/11\/Figure1-300x200.png 300w, https:\/\/sites.nd.edu\/sisi-meng\/files\/2023\/11\/Figure1-1024x683.png 1024w, https:\/\/sites.nd.edu\/sisi-meng\/files\/2023\/11\/Figure1-768x512.png 768w, https:\/\/sites.nd.edu\/sisi-meng\/files\/2023\/11\/Figure1-1536x1024.png 1536w\" sizes=\"auto, (max-width: 472px) 100vw, 472px\" \/>The added threat from the COVID-19 pandemic created a complex dilemma for households that were also facing evacuation decisions during natural disasters. This paper characterized household concerns and evacuation preferences in the context of both hurricanes and pandemic risks. We conducted a survey of 504 households across 119 different zip code areas in Puerto Rico impacted by Hurricane Maria (2017). The households were asked to make a choice between staying isolated at home or evacuating with or without isolation in the event of a future hurricane threat during a pandemic. Our findings revealed that households, in the early stages of the COVID-19 pandemic, expressed greater concern about the risks associated with a pandemic compared to those related to hurricanes, and that there was a risk-risk trade-off when making the critical evacuation decision. In addition to hurricane-related concerns, past evacuation experiences, and the consideration of evacuation costs, we found that evacuation preferences were heterogeneous across age, gender, and ethnic groups, and were also driven by perceptions of infection risks and attitudes towards social distancing. Our research aimed to provide valuable insights to help develop effective responses and preparations for coastal hurricanes that consider the complexities of multiple hazards and health risks.<\/p>\n<div id=\"d1e2037\" class=\"keyword\"><b>Keywords\u00a0<\/b>Hurricane evacuation; Covid-19 pandemic; Risk\u2013risk trade-off; Household survey; Multiple hazards; Puerto Rico<\/div>\n\n\n<!--more-->\n\n\n<h5><span style=\"color: #0000ff\"><strong>Departure Timing Preference During Extreme Weather Events: Evidence from Hurricane Evacuation Behavior\u00a0<\/strong><\/span><\/h5>\n<p>Jiang, F., <strong>Meng, S*.<\/strong>, Halim, N. &amp; Mozumder, P. (2022) Departure Timing Preference during Extreme Weather Events: Evidence from Hurricane Evacuation Behavior. <i>Transportation Research Record, <\/i>2676 (5): 358-372 <a href=\"https:\/\/doi.org\/10.1177%2F03611981211066901\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1177%2F03611981211066901<\/a><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft  wp-image-480\" src=\"http:\/\/sites.nd.edu\/sisi-meng\/files\/2021\/10\/fa.jpg\" alt=\"\" width=\"274\" height=\"398\" srcset=\"https:\/\/sites.nd.edu\/sisi-meng\/files\/2021\/10\/fa.jpg 1650w, https:\/\/sites.nd.edu\/sisi-meng\/files\/2021\/10\/fa-206x300.jpg 206w, https:\/\/sites.nd.edu\/sisi-meng\/files\/2021\/10\/fa-704x1024.jpg 704w, https:\/\/sites.nd.edu\/sisi-meng\/files\/2021\/10\/fa-768x1117.jpg 768w, https:\/\/sites.nd.edu\/sisi-meng\/files\/2021\/10\/fa-1056x1536.jpg 1056w, https:\/\/sites.nd.edu\/sisi-meng\/files\/2021\/10\/fa-1408x2048.jpg 1408w\" sizes=\"auto, (max-width: 274px) 100vw, 274px\" \/>Hurricane evacuation has become an increasingly complicated activity in the U.S. as it involves moving many people who live along the Atlantic coast and Gulf coast within a very limited time. A good deal of research has been conducted on hurricane evacuation, but only a limited number of studies have looked into the timing aspect of evacuation. This paper intends to contribute to the literature on evacuation timing decisions by investigating what factors influence the time preference at the household level. Two hurricane survey data sets were used to analyze household evacuation behaviors across the Gulf coast as well as the Northeast and Mid-Atlantic coast in a comparative perspective. Using the Heckman selection model, we examined various factors identified in the literature on the two possible outcomes (evacuation and early evacuation). We found that the most important determinants of evacuation were prior evacuation experience, evacuation orders, and risk perceptions, while the most important determinants of early evacuation were prior evacuation experiences, days spent at the evacuation destination, and the cost of evacuation. Socioeconomic factors also influenced the two decisions but differently. These results provide implications for future hurricane evacuation planning and for improving emergency management practices.<\/p>\n<p><b>Keywords\u00a0<\/b><span class=\"kwd\"><a class=\"attributes\" href=\"https:\/\/journals.sagepub.com\/keyword\/Sustainability+And+Resilience\" target=\"_blank\" rel=\"noopener\">sustainability and resilience<\/a>,\u00a0<\/span><span class=\"kwd\"><a class=\"attributes\" href=\"https:\/\/journals.sagepub.com\/keyword\/Transportation+Systems+Resilience\" target=\"_blank\" rel=\"noopener\">transportation systems resilience<\/a>,\u00a0<\/span><span class=\"kwd\"><a class=\"attributes\" href=\"https:\/\/journals.sagepub.com\/keyword\/Disaster+Response\" target=\"_blank\" rel=\"noopener\">disaster response<\/a>,\u00a0<\/span><span class=\"kwd\"><a class=\"attributes\" href=\"https:\/\/journals.sagepub.com\/keyword\/Recovery\" target=\"_blank\" rel=\"noopener\">recovery<\/a>,\u00a0<\/span><span class=\"kwd\"><a class=\"attributes\" href=\"https:\/\/journals.sagepub.com\/keyword\/And+Business+Continuity\" target=\"_blank\" rel=\"noopener\">and business continuity<\/a>,\u00a0<\/span><span class=\"kwd\"><a class=\"attributes\" href=\"https:\/\/journals.sagepub.com\/keyword\/Emergency+Evacuation\" target=\"_blank\" rel=\"noopener\">emergency evacuation<\/a>,\u00a0<\/span><span class=\"kwd\"><a class=\"attributes\" href=\"https:\/\/journals.sagepub.com\/keyword\/Natural+Hazards+And+Extreme+Weather+Events\" target=\"_blank\" rel=\"noopener\">natural hazards and extreme weather events<\/a><\/span><\/p>\n<h5><span style=\"color: #0000ff\"><strong style=\"font-size: 1em\">Estimating Willingness to Pay and Costs Associated with Hurricane Evacuation<\/strong><\/span><\/h5>\n<p>Jiang, F., <strong>Meng, S*.<\/strong>, Khan, M., Halim, N. &amp; Mozumder, P. (2023) Estimating Willingness to Pay and Costs Associated with Hurricane Evacuation. <i>Transportation Research Part D: Transport and Environment,<\/i>121:103826 <a href=\"https:\/\/doi.org\/10.1016\/j.trd.2023.103826\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1016\/j.trd.2023.103826<\/a><\/p>\n<p>While a growing number of studies have explored evacuation expenditure for more effective evacuation planning and emergency management, few have investigated the public preferences regarding hurricane evacuation behavior and the cost of evacuation. This paper presents an empirical analysis of hurricane evacuation decisions, using both revealed preference (RP) and stated preference (SP) evacuation expenditure data from Texas residents affected by Hurricane Ike. Furthermore, we have developed a methodology framework based on utility maximization theory and the lifecycle consumption model. This approach allows us to estimate the lower bound of individuals&#8217; willingness to pay (WTP) to mitigate hurricane risks and calculate the associated cost-of-evacuation under both voluntary and mandatory evacuation orders. The study was carried out from a transportation cost perspective and included the expenditure of transportation, food, and lodging during hurricane evacuation. The findings provide policy implications for emergency management agencies in coastal communities in terms of hurricane evacuation planning and strengthening disaster management practices in the future.<\/p>\n<p><b>Keywords <\/b>Cost-of-Evacuation; Emergency Management; Hurricane; Natural Hazards; Transportation Cost; Willingness to Pay (WTP)<\/p>\n<h5><span style=\"color: #0000ff\"><strong>Understanding Non-Evacuation Behavior in Urban Areas During Major Hurricanes<\/strong><\/span><\/h5>\n<p>Evacuation behaviors are complex and thus, require continued exploration, especially those pertaining to evacuation timing. The main goal of the study is to figure out the reasons behind low evacuation rate for Hurricane Sandy. Specifically, why do some people stay put, even after mandatory evacuation orders have been issued? Why do others leave when the sun is still shining and the skies are still blue? Employing household survey data with their geospatial information, we hope to 1) identify reasons behind evacuation resistance; 2) estimate the key factor of the Sandy evacuation; 3) identify types of people most\/least likely to evacuate; 4) provide implications for public education and future evacuations.<\/p>","protected":false},"excerpt":{"rendered":"<p>Understanding household evacuation preference for future hurricanes amid the COVID-19 pandemic in Puerto Rico Meng, S.*, Halim, N., Karra, M. &amp; Mozumder, P. (2024). Understanding Household Evacuation Preferences During the COVID-19 Pandemic in Puerto Rico.\u00a0Safety Science, 171: 106405. https:\/\/doi.org\/10.1016\/j.ssci.2023.106405 The added threat from the COVID-19 pandemic created a complex dilemma for households that were also [&hellip;]<\/p>\n","protected":false},"author":3064,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-263","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.nd.edu\/sisi-meng\/wp-json\/wp\/v2\/pages\/263","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.nd.edu\/sisi-meng\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.nd.edu\/sisi-meng\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/sisi-meng\/wp-json\/wp\/v2\/users\/3064"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/sisi-meng\/wp-json\/wp\/v2\/comments?post=263"}],"version-history":[{"count":28,"href":"https:\/\/sites.nd.edu\/sisi-meng\/wp-json\/wp\/v2\/pages\/263\/revisions"}],"predecessor-version":[{"id":893,"href":"https:\/\/sites.nd.edu\/sisi-meng\/wp-json\/wp\/v2\/pages\/263\/revisions\/893"}],"wp:attachment":[{"href":"https:\/\/sites.nd.edu\/sisi-meng\/wp-json\/wp\/v2\/media?parent=263"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}