The Deficient Resilient Cities: Hurricane Sandy in New York City

Author(s):  
Yosef Jabareen
Author(s):  
Barbra Mann Wall ◽  
Victoria LaMaina ◽  
Emma MacAllister

2018 ◽  
Vol 05 (01) ◽  
pp. 1850002 ◽  
Author(s):  
Hildegaard Link ◽  
Chris Barrett

Risk management regimes develop as stakeholders attempt to reduce vulnerability to hazards and limit the damage and disruption from disasters. Urban coastal regions are often hotspots of climate change-related risks. Analysis of different characteristics of vulnerability, resilience, and transformation is an important precursor to planning and decision making. While these concepts are not new, in many areas they remain very abstract. This paper offers a method to assess vulnerability at the individual household scale in different New York City water front neighborhoods that were extensively damaged during hurricane Sandy in 2012. Household Surveys were conducted in Red Hook, Brooklyn and Edgemere/Arverne, Queens in early 2016. Survey results suggest that at the household level, feelings of preparedness and trust in local government’s ability to effectively manage and respond to extreme weather differ with the varying political/economic climates of each neighborhood. Our survey results also indicate that residents are changing their emergency planning behavior, regardless of politics or economics. Responses show residents adapting their thinking to acknowledge the potential for increasing risk from extreme weather events in both locations studied.


2015 ◽  
Vol 146 ◽  
pp. e72-e73
Author(s):  
Enrique R. Pouget ◽  
Milagros Sandoval ◽  
Georgios K. Nikolopoulos ◽  
Samuel R. Friedman

2014 ◽  
Vol 2 (1) ◽  
pp. 226-246 ◽  
Author(s):  
Harry Wang ◽  
Jon Loftis ◽  
Zhuo Liu ◽  
David Forrest ◽  
Joseph Zhang

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248503
Author(s):  
Yue He ◽  
Boqun Wu ◽  
Pan He ◽  
Weiyi Gu ◽  
Beibei Liu

Wind-related disasters will bring more devastating consequences to cities in the future with a changing climate, but relevant studies have so far provided insufficient information to guide adaptation actions. This study aims to provide an in-depth elaboration of the contents discussed in open access literature regarding wind disaster adaptation in cities. We used the Latent Dirichlet Allocation (LDA) to refine topics and main contents based on 232 publications (1900 to 2019) extracted from Web of Science and Scopus. We conducted a full-text analysis to filter out focal cities along with their adaptation measures. The results show that wind disaster adaptation research in cities has formed a systematic framework in four aspects: 1) vulnerability and resilience of cities, 2) damage evaluation, 3) response and recovery, and 4) health impacts of wind disaster. Climate change is the background for many articles discussing vulnerability and adaptation in coastal areas. It is also embedded in damage evaluation since it has the potential to exacerbate disaster consequences. The literature is strongly inclined towards more developed cities such as New York City and New Orleans, among which New York City associated with Hurricane Sandy ranks first (38/232). Studies on New York City cover all the aspects, including the health impacts of wind disasters which are significantly less studied now. Distinct differences do exist in the number of measures regarding the adaptation categories and their subcategories. We also find that hard adaptation measures (i.e., structural and physical measures) are far more popular than soft adaptation measures (i.e., social and institutional measures). Our findings suggest that policymakers should pay more attention to cities that have experienced major wind disasters other than New York. They should embrace the up-to-date climate change study to defend short-term disasters and take precautions against long-term changes. They should also develop hard-soft hybrid adaptation measures, with special attention on the soft side, and enhance the health impact study of wind-related disasters.


2013 ◽  
Vol 1 (4) ◽  
pp. 4155-4179 ◽  
Author(s):  
E. Schnebele ◽  
G. Cervone ◽  
N. Waters

Abstract. This research proposes a methodology that leverages non-authoritative data to augment flood extent mapping and the evaluation of transportation infrastructure. The novelty of this approach is the application of freely available, non-authoritative data and its integration with established data and methods. Crowdsourced photos and volunteered geographic data are fused together using a geostatistical interpolation to create an estimation of flood damage in New York City following Hurricane Sandy. This damage assessment is utilized to augment an authoritative storm surge map as well as to create a road damage map for the affected region.


2019 ◽  
Vol 11 (4) ◽  
pp. 809-821 ◽  
Author(s):  
Maya K. Buchanan ◽  
Michael Oppenheimer ◽  
Adam Parris

Abstract Sea level rise amplifies flooding from tides and storms for coastal communities around the globe. Although the characterization of these physical hazards has improved, it is people’s behavior that will ultimately determine the impact on communities. This study adds to our understanding of how people may respond to various adaptation options and policies, using a household survey in New York City, New York, neighborhoods affected by Hurricane Sandy. We investigate previously overlooked factors that may influence intended household adaptive behavior, such as single-action bias, a cognitive trade-off that households make between adaptation options, whereby taking a small (and often less effective measure) may strongly discourage uptake of a more protective measure. Through a novel application of discrete choice experiments in the coastal adaptation context, we simulate plausible future conditions to assess potential adaptation under climatic and nonclimatic stressors. Our findings suggest that single-action bias plays a substantial role in intended coastal adaptation, whereby the odds of homeowners who have already implemented a modest-cost measure to insure and relocate in the future are 66% and 80% lower, respectively. The odds of homeowners to relocate are also ~1.9, ~2.2, and ~3.1 times as great if their peers relocate, nuisance flooding becomes a frequent occurrence, and property values fall substantially, respectively. We find that renters’ motivation to relocate is largely driven more by external issues such as crime, gentrification, and economic security than by flood hazard.


2016 ◽  
Vol 137 (2) ◽  
pp. AB180
Author(s):  
Adnan Divjan ◽  
Luis M. Acosta ◽  
Edward Sobek ◽  
Nitzan Soffer ◽  
Matthew S. Perzanowski

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