IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v163y2020i4d10.1007_s10584-020-02896-y.html
   My bibliography  Save this article

Who is vulnerable and who is resilient to coastal flooding? Lessons from Hurricane Sandy in New York City

Author

Listed:
  • Malgosia Madajewicz

    (Columbia University)

Abstract

Social vulnerability and resilience indices identify populations who are at risk from hazards in order to guide policy to build resilience. This study investigates which of the indicators that commonly comprise the indices reflect vulnerability and resilience to coastal flooding in urban areas based on primary data that document the impacts of and recovery from Hurricane Sandy in New York City. The study constructs measures of vulnerability and resilience that are independent of proposed indicators and uses regression analysis to investigate which indicators influence these measures. The analysis finds that (1) middle- and low-income homeowners are less financially resilient than are poorer renters. The recovery cost middle- to low-income homeowners 2.4 times their annual per capita incomes, while renters paid out about half of their per capita incomes. Resilience increases with income but conditional on ownership of assets that are at risk. (2) Disabled and/or chronically ill residents are more vulnerable and less resilient by many outcome measures. (3) Non-white households experience longer disruptions of access to food. (4) Information, hazard-specific capacities of community groups, and pre-hazard access to services such as food and health care are important indicators of vulnerability and resilience. (5) The evidence that other commonly proposed indicators are correlated with independent measures of vulnerability and resilience to flooding is weak. The study yields hypotheses for further research on how relevant indicators differ across hazards and contexts.

Suggested Citation

  • Malgosia Madajewicz, 2020. "Who is vulnerable and who is resilient to coastal flooding? Lessons from Hurricane Sandy in New York City," Climatic Change, Springer, vol. 163(4), pages 2029-2053, December.
  • Handle: RePEc:spr:climat:v:163:y:2020:i:4:d:10.1007_s10584-020-02896-y
    DOI: 10.1007/s10584-020-02896-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10584-020-02896-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10584-020-02896-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jeffrey R Kling & Jeffrey B Liebman & Lawrence F Katz, 2007. "Experimental Analysis of Neighborhood Effects," Econometrica, Econometric Society, vol. 75(1), pages 83-119, January.
    2. S. Eriksen & P. Kelly, 2007. "Developing Credible Vulnerability Indicators for Climate Adaptation Policy Assessment," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 12(4), pages 495-524, May.
    3. George Clark & Susanne Moser & Samuel Ratick & Kirstin Dow & William Meyer & Srinivas Emani & Weigen Jin & Jeanne Kasperson & Roger Kasperson & Harry Schwarz, 1998. "Assessing the Vulnerability of Coastal Communities to Extreme Storms: The Case of Revere, MA., USA," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 3(1), pages 59-82, January.
    4. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    5. Subaiya, S. & Moussavi, C. & Velasquez, A. & Stillman, J., 2014. "A rapid needs assessment of the rockaway peninsula in New York city after hurricane sandy and the relationship of socioeconomic status to recovery," American Journal of Public Health, American Public Health Association, vol. 104(4), pages 632-638.
    6. Susan Cutter, 2016. "The landscape of disaster resilience indicators in the USA," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 741-758, January.
    7. Katherine Casey & Rachel Glennerster & Edward Miguel, 2012. "Reshaping Institutions: Evidence on Aid Impacts Using a Preanalysis Plan," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(4), pages 1755-1812.
    8. Kathleen Sherrieb & Fran Norris & Sandro Galea, 2010. "Measuring Capacities for Community Resilience," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 99(2), pages 227-247, November.
    9. Susan L. Cutter & Bryan J. Boruff & W. Lynn Shirley, 2003. "Social Vulnerability to Environmental Hazards," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 242-261, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liz Koslov & Alexis Merdjanoff & Elana Sulakshana & Eric Klinenberg, 2021. "When rebuilding no longer means recovery: the stress of staying put after Hurricane Sandy," Climatic Change, Springer, vol. 165(3), pages 1-21, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Leslie Gillespie‐Marthaler & Katherine Nelson & Hiba Baroud & Mark Abkowitz, 2019. "Selecting Indicators for Assessing Community Sustainable Resilience," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2479-2498, November.
    2. Ann-Margaret Esnard & Alka Sapat & Diana Mitsova, 2011. "An index of relative displacement risk to hurricanes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(2), pages 833-859, November.
    3. Jeffrey D. Michler & Anna Josephson, 2022. "Recent developments in inference: practicalities for applied economics," Chapters, in: A Modern Guide to Food Economics, chapter 11, pages 235-268, Edward Elgar Publishing.
    4. Paul M. Johnson & Corey E. Brady & Craig Philip & Hiba Baroud & Janey V. Camp & Mark Abkowitz, 2020. "A Factor Analysis Approach Toward Reconciling Community Vulnerability and Resilience Indices for Natural Hazards," Risk Analysis, John Wiley & Sons, vol. 40(9), pages 1795-1810, September.
    5. Alex Eble & Peter Boone & Diana Elbourne, 2017. "On Minimizing the Risk of Bias in Randomized Controlled Trials in Economics," The World Bank Economic Review, World Bank, vol. 31(3), pages 687-707.
    6. Firas Gerges & Hani Nassif & Xiaolong Geng & Holly A. Michael & Michel C. Boufadel, 2022. "GIS-based approach for evaluating a community intrinsic resilience index," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(2), pages 1271-1299, March.
    7. Tom M. Logan & Seth D. Guikema, 2020. "Reframing Resilience: Equitable Access to Essential Services," Risk Analysis, John Wiley & Sons, vol. 40(8), pages 1538-1553, August.
    8. Elia A Machado & Samuel Ratick, 2018. "Implications of indicator aggregation methods for global change vulnerability reduction efforts," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(7), pages 1109-1141, October.
    9. Sarah Stafford & Jeremy Abramowitz, 2017. "An analysis of methods for identifying social vulnerability to climate change and sea level rise: a case study of Hampton Roads, Virginia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 1089-1117, January.
    10. Eric Tate, 2012. "Social vulnerability indices: a comparative assessment using uncertainty and sensitivity analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 63(2), pages 325-347, September.
    11. Saud Alshehri & Yacine Rezgui & Haijiang Li, 2015. "Delphi-based consensus study into a framework of community resilience to disaster," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(3), pages 2221-2245, February.
    12. Stefan Angel & Benjamin Bittschi, 2019. "Housing and Health," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(3), pages 495-513, September.
    13. Michal Bauer & Christopher Blattman & Julie Chytilová & Joseph Henrich & Edward Miguel & Tamar Mitts, 2016. "Can War Foster Cooperation?," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 249-274, Summer.
    14. Mohsen Alizadeh & Esmaeil Alizadeh & Sara Asadollahpour Kotenaee & Himan Shahabi & Amin Beiranvand Pour & Mahdi Panahi & Baharin Bin Ahmad & Lee Saro, 2018. "Social Vulnerability Assessment Using Artificial Neural Network (ANN) Model for Earthquake Hazard in Tabriz City, Iran," Sustainability, MDPI, vol. 10(10), pages 1-23, September.
    15. Abdur Rahim Hamidi & Jiangwei Wang & Shiyao Guo & Zhongping Zeng, 2020. "Flood vulnerability assessment using MOVE framework: a case study of the northern part of district Peshawar, Pakistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 101(2), pages 385-408, March.
    16. Itziar González Tánago & Julia Urquijo & Veit Blauhut & Fermín Villarroya & Lucia De Stefano, 2016. "Learning from experience: a systematic review of assessments of vulnerability to drought," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 951-973, January.
    17. Dujardin, Claire & Goffette-Nagot, Florence, 2010. "Neighborhood effects on unemployment?: A test à la Altonji," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 380-396, November.
    18. Miguel Fajardo-Steinhauser, 2023. "Peace Dividends: The Economic Effects of Colombia's Peace Agreement," Papers 2301.01843, arXiv.org.
    19. Annemarie Ebert & Norman Kerle & Alfred Stein, 2009. "Urban social vulnerability assessment with physical proxies and spatial metrics derived from air- and spaceborne imagery and GIS data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 48(2), pages 275-294, February.
    20. John A. List & Azeem M. Shaikh & Yang Xu, 2019. "Multiple hypothesis testing in experimental economics," Experimental Economics, Springer;Economic Science Association, vol. 22(4), pages 773-793, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:climat:v:163:y:2020:i:4:d:10.1007_s10584-020-02896-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.