IDEAS home Printed from https://ideas.repec.org/a/plo/pclm00/0000656.html
   My bibliography  Save this article

Exploring implementation of disaster risk management strategies by public housing authorities: A national survey

Author

Listed:
  • Amber S Khan
  • Rebecca J Walter
  • Sara Hamideh
  • Andrew Aurand
  • Jamie Vickery
  • Nicole A Errett

Abstract

The United States is experiencing an affordable housing crisis. Simultaneously, disasters are increasing in frequency and intensity partly due to anthropogenic climate change. Disasters exacerbate adverse impacts on extremely low-income renters living in federally-subsidized housing units managed by Public Housing Authorities (PHAs). To date, there is an overall lack of knowledge around what disaster risk management (DRM) strategies are being implemented by PHAs, as well as factors that influence PHA DRM implementation. A national survey was administered to PHAs to assess their implementation of DRM strategies. Survey results, along with secondary data, were analyzed using descriptive statistics. Fisher’s exact test of independence was used to calculate the association between each binary DRM strategy variable (“Yes” versus “No”) and each PHA characteristic. Findings suggest that PHA Moving To Work (MTW) status, PHA size, urban classification, state-level political affiliation, and perceived hazard risk influence PHA DRM implementation.

Suggested Citation

  • Amber S Khan & Rebecca J Walter & Sara Hamideh & Andrew Aurand & Jamie Vickery & Nicole A Errett, 2025. "Exploring implementation of disaster risk management strategies by public housing authorities: A national survey," PLOS Climate, Public Library of Science, vol. 4(8), pages 1-17, August.
  • Handle: RePEc:plo:pclm00:0000656
    DOI: 10.1371/journal.pclm.0000656
    as

    Download full text from publisher

    File URL: https://journals.plos.org/climate/article?id=10.1371/journal.pclm.0000656
    Download Restriction: no

    File URL: https://journals.plos.org/climate/article/file?id=10.1371/journal.pclm.0000656&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pclm.0000656?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
    ---><---

    References listed on IDEAS

    as
    1. Hallegatte, Stephane & Przyluski, Valentin, 2010. "The economics of natural disasters : concepts and methods," Policy Research Working Paper Series 5507, The World Bank.
    Full references (including those not matched with items on IDEAS)

    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. Masato Yamazaki & Atsushi Koike & Yoshinori Sone, 2018. "A Heuristic Approach to the Estimation of Key Parameters for a Monthly, Recursive, Dynamic CGE Model," Economics of Disasters and Climate Change, Springer, vol. 2(3), pages 283-301, October.
    2. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Kim, Yeon-Su & Rodrigues, Marcos & Robinne, François-Nicolas, 2021. "Economic drivers of global fire activity: A critical review using the DPSIR framework," Forest Policy and Economics, Elsevier, vol. 131(C).
    4. Fujiki, Hiroshi & Hsiao, Cheng, 2015. "Disentangling the effects of multiple treatments—Measuring the net economic impact of the 1995 great Hanshin-Awaji earthquake," Journal of Econometrics, Elsevier, vol. 186(1), pages 66-73.
    5. Yasuyuki Todo & Kentaro Nakajima & Petr Matous, 2015. "How Do Supply Chain Networks Affect The Resilience Of Firms To Natural Disasters? Evidence From The Great East Japan Earthquake," Journal of Regional Science, Wiley Blackwell, vol. 55(2), pages 209-229, March.
    6. Stéphane Hallegatte, 2014. "Modeling the Role of Inventories and Heterogeneity in the Assessment of the Economic Costs of Natural Disasters," Risk Analysis, John Wiley & Sons, vol. 34(1), pages 152-167, January.
    7. Jahn, Malte, 2013. "Economics of extreme weather events in cities: Terminology and regional impact models," HWWI Research Papers 143, Hamburg Institute of International Economics (HWWI).
    8. Baarsch, Florent & Granadillos, Jessie R. & Hare, William & Knaus, Maria & Krapp, Mario & Schaeffer, Michiel & Lotze-Campen, Hermann, 2020. "The impact of climate change on incomes and convergence in Africa," World Development, Elsevier, vol. 126(C).
    9. Felbermayr, Gabriel & Gröschl, Jasmin & Sanders, Mark & Schippers, Vincent & Steinwachs, Thomas, 2018. "Shedding Light on the Spatial Diffusion of Disasters," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181556, Verein für Socialpolitik / German Economic Association.
    10. Kilgarriff, Paul & McDermott, T.K.J. & Vega, Amaya & Morrissey , Karyn & O’Donoghue, Cathal, 2018. "Flooding disruption and the impact on the spatial distribution of commuter’s income," Working Papers 309608, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    11. Noy, Ilan & Yonson, Rio, 2016. "A survey of the theory and measurement of economic vulnerability and resilience to natural hazards," Working Paper Series 19394, Victoria University of Wellington, School of Economics and Finance.
    12. Oscar Becerra & Eduardo Cavallo & Ilan Noy, 2014. "Foreign Aid in the Aftermath of Large Natural Disasters," Review of Development Economics, Wiley Blackwell, vol. 18(3), pages 445-460, August.
    13. Meri Davlasheridze & Qing Miao, 2021. "Natural disasters, public housing, and the role of disaster aid," Journal of Regional Science, Wiley Blackwell, vol. 61(5), pages 1113-1135, November.
    14. Pedcris M. Orencio & Masahiko Fujii, 2014. "A spatiotemporal approach for determining disaster-risk potential based on damage consequences of multiple hazard events," Journal of Risk Research, Taylor & Francis Journals, vol. 17(7), pages 815-836, August.
    15. Sven Kunze, 2021. "Unraveling the Effects of Tropical Cyclones on Economic Sectors Worldwide: Direct and Indirect Impacts," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(4), pages 545-569, April.
    16. Hallegatte, Stephane, 2012. "Modeling the roles of heterogeneity, substitution, and inventories in the assessment of natural disaster economic costs," Policy Research Working Paper Series 6047, The World Bank.
    17. -, 2015. "La economía del cambio climático en América Latina y el Caribe: paradojas y desafíos del desarrollo sostenible," Libros y Documentos Institucionales, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 37310 edited by Cepal.
    18. Felbermayr, Gabriel & Gröschl, Jasmin, 2014. "Naturally negative: The growth effects of natural disasters," Journal of Development Economics, Elsevier, vol. 111(C), pages 92-106.
    19. Pradeep V. Mandapaka & Edmond Y. M. Lo, 2023. "Assessing Shock Propagation and Cascading Uncertainties Using the Input–Output Framework: Analysis of an Oil Refinery Accident in Singapore," Sustainability, MDPI, vol. 15(2), pages 1-24, January.
    20. Yang Zhou & Ning Li & Wenxiang Wu & Haolong Liu & Li Wang & Guangxu Liu & Jidong Wu, 2014. "Socioeconomic development and the impact of natural disasters: some empirical evidences from China," 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. 74(2), pages 541-554, November.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pclm00:0000656. 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: climate (email available below). General contact details of provider: https://journals.plos.org/climate .

    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.