Evaluating drivers of coastal relocation in Hurricane Sandy affected communities

Bukvic, Anamaria; Smith, Andrew J.; Zhang, Angang

doi:10.1016/j.ijdrr.2015.06.008

Cited by 66 publications

(35 citation statements)

References 35 publications

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“…A survey showed that people experienced high levels of stress due to challenges in rebuilding and recovery, threat of future hazards, and filing insurance claims, in that respective order (Bukvic, Smith, & Zhang, 2015). As a result, moving somewhere else proved to be less stressful for some.…”

Section: Superstorm Sandymentioning

confidence: 99%

“…As a result, moving somewhere else proved to be less stressful for some. Bukvic, Smith, & Zhang (2015) suggested this may be because some people considered relocation "less disturbing than dealing with the future risks and recovery challenges," although this finding could have been skewed by others who had already "successfully returned, reestablished their livelihoods, and do not consider relocation" (219). Although the surveyed group exhibited a strong affinity for coastal living, some respondents expressed concern about flood insurance rate increases, which could make relocation necessary.…”

Section: Superstorm Sandymentioning

confidence: 99%

“…These factors do not affect all people displaced by a disaster equally; socio-economic characteristics may make some people or groups more vulnerable, reduce access to services and aid, and may limit return or relocation options (Bukvic et al, 2015). While not as dominant, other common factors include: fear of future disasters, stress attributed to rebuilding and recovery processes, and loss of employment.…”

Section: Distilling Factors Affecting Returnmentioning

confidence: 99%

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Washed Out: Policy and Practical Considerations Affecting Return after Hurricane Katrina and Superstorm Sandy

Bryner

Garcia-Lozano

Bruch

2017

JAD

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The destructive impacts of Hurricane Katrina and Superstorm Sandy displaced large numbers of people. While some families were able to return home soon after the disasters, others struggled to do so and remained displaced for extended periods of time. Although much attention has been paid to the immediate response to natural disasters, research on policies and practices regarding long-term return migration has been largely overlooked. This article presents an overview of recent literature that addresses factors affecting displaced individuals' decision to return home or relocate following these two disasters. It discusses five major factors influencing individual and household decisions regarding whether to return home, relocate, or remain in limbo if unable to achieve either. These include: (1) habitability Journal of Asian Development ISSN 2377-9594 2017 http://jad.macrothink.org 74 of homes; (2) affordability of housing; (3) financial burdens; (4) slow restoration of public services and facilities; and (5) sense of place and identity. The article then assesses the types of policies that have been used with varying goals-promoting, discouraging, and, in some cases, prohibiting return. It presents four examples of policy tools that have influenced post-disaster return or relocation after Hurricane Katrina and Superstorm Sandy: (1) tax policies; (2) buyouts; (3) changes to building codes; and (4) revisions to the U.S. National Flood Insurance Program. The article concludes that a better understanding of factors affecting displaced persons can help policymakers meet their objectives of encouraging or inhibiting return to a specific site after a disaster.

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Section: Superstorm Sandymentioning

confidence: 99%

Section: Superstorm Sandymentioning

confidence: 99%

Section: Distilling Factors Affecting Returnmentioning

confidence: 99%

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Washed Out: Policy and Practical Considerations Affecting Return after Hurricane Katrina and Superstorm Sandy

Bryner

Garcia-Lozano

Bruch

2017

JAD

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“…Traditionally, the various aspects of the household evacuation decision, such as whether to evacuate or stay, when to evacuate, where to evacuate, mode of transport, when to come back, etc. have been determined by post-evacuation questionnaire surveys, (usually) months following the hurricane [1,5,11,45]. Using these surveys, researchers aim to find the reason behind various evacuation decisions based on the strong correlation between the decision and the household and individual attributes such as household income, vehicle availability, social circle, previous experience with emergencies, etc.…”

Section: Introductionmentioning

confidence: 99%

Utilizing Geo-tagged Tweets to Understand Evacuation Dynamics during Emergencies

Kumar

Ukkusuri

2018

Companion of the the Web Conference 2018 on the Web Conference 2018 - WWW '18

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Hurricane evacuation is a complex process and a better understanding of the evacuation behavior of the coastal residents could be helpful in planning better evacuation policy. Traditionally, various aspects of the household evacuation decisions have been determined by post-evacuation questionnaire surveys, which are usually time-consuming and expensive. Increased activity of users on social media, especially during emergencies, along with the geo-tagging of the posts, provides an opportunity to gain insights into user's decision-making process, as well as to gauge public opinion and activities using the social media data as a supplement to the traditional survey data. This paper leverages the geo-tagged Tweets posted in the New York City (NYC) in wake of Hurricane Sandy to understand the evacuation behavior of the residents. Based on the geo-tagged Tweet locations, we classify the NYC Twitter users into one of the three categories: outside evacuation zone, evacuees, and non-evacuees and examine the types of Tweets posted by each group during different phases of the hurricane. We establish a strong link between the social connectivity with the decision of the users to evacuate or stay. We analyze the geo-tagged Tweets to understand evacuation and return time and evacuation location patterns of evacuees. The analysis presented in this paper could be useful for authorities to plan a better evacuation campaign to minimize the risk to the life of the residents of the emergency hit areas.

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“…Given the significant ramifications of relocation‐related decision‐making, researchers have been trying to identify in recent years who would stay and who would leave in the light of damage to the built environment, infrastructure, and social networks (Henry, ; Bukvic, Smith, and Zhang, ). Apparently, the amount of damage to housing is a fundamental factor in this regard, because higher levels indicate higher costs and more challenges to rebuilding, encouraging movement (Myers, Slack, and Singelmann, ; Fussell, Sastry, and VanLandingham, ; Wright and Johnston, ; McNeil et al, ).…”

Section: Introductionmentioning

confidence: 99%

Individual relocation decisions after tornadoes: a multi‐level analysis

et al. 2017

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This study examines how multi-level factors affected individuals' relocation decisions after EF4 and EF5 (Enhanced Fujita Tornado Intensity Scale) tornadoes struck the United States in 2013. A telephone survey was conducted with 536 respondents, including oversampled older adults, one year after these two disaster events. Respondents' addresses were used to associate individual information with block group-level variables recorded by the American Community Survey. Logistic regression revealed that residential damage and homeownership are important predictors of relocation. There was also significant interaction between these two variables, indicating less difference between homeowners and renters at higher damage levels. Homeownership diminished the likelihood of relocation among younger respondents. Random effects logistic regression found that the percentage of homeownership and of higher income households in the community buffered the effect of damage on relocation; the percentage of older adults reduced the likelihood of this group relocating. The findings are assessed from the standpoint of age difference, policy implications, and social capital and vulnerability.

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Evaluating drivers of coastal relocation in Hurricane Sandy affected communities

Cited by 66 publications

References 35 publications

Washed Out: Policy and Practical Considerations Affecting Return after Hurricane Katrina and Superstorm Sandy

Washed Out: Policy and Practical Considerations Affecting Return after Hurricane Katrina and Superstorm Sandy

Utilizing Geo-tagged Tweets to Understand Evacuation Dynamics during Emergencies

Individual relocation decisions after tornadoes: a multi‐level analysis

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