IDEAS home Printed from https://ideas.repec.org/a/nat/natsus/v3y2020i8d10.1038_s41893-020-0523-8.html
   My bibliography  Save this article

Global spread of local cyclone damages through urban trade networks

Author

Listed:
  • Chris Shughrue

    (Yale University)

  • BT Werner

    (University of California-San Diego)

  • Karen C. Seto

    (Yale University)

Abstract

Geophysical hazards stress urban social, economic and political systems, but many studies focus on single locations over short periods. The manner in which a natural disaster propagates across cities globally through urban trade networks remains unexplored. Starting from a novel empirical baseline model for global production and trade, here we develop a dynamical model for the spread of individual cyclone impacts across the world’s cities. We find that cities are vulnerable to economic harm even if they are geographically distant from the location of direct impacts of cyclones. These adverse secondary impacts are responsible for up to three-fourths of the effects of the largest storms and are generated primarily by cyclone exposure in North America and East Asia, in part because of the roles of these regions as principal purchasers and suppliers, respectively, of industrial materials. Vulnerability to adverse secondary impacts of cyclones is highest in cities that are strongly dependent on the global trade network but have relatively few suppliers. Our results suggest that, in addition to improvements in protective infrastructure, urban adaptation to storm damage and climate change might require modifications to trade network linkages.

Suggested Citation

  • Chris Shughrue & BT Werner & Karen C. Seto, 2020. "Global spread of local cyclone damages through urban trade networks," Nature Sustainability, Nature, vol. 3(8), pages 606-613, August.
  • Handle: RePEc:nat:natsus:v:3:y:2020:i:8:d:10.1038_s41893-020-0523-8
    DOI: 10.1038/s41893-020-0523-8
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41893-020-0523-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41893-020-0523-8?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.

    Citations

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


    Cited by:

    1. Tormos-Aponte, Fernando & García-López, Gustavo & Painter, Mary Angelica, 2021. "Energy inequality and clientelism in the wake of disasters: From colorblind to affirmative power restoration," Energy Policy, Elsevier, vol. 158(C).
    2. Zhenshan Yang & Jianan Wei & Quansheng Ge, 2023. "Friction or cooperation? Boosting the global economy and fighting climate change in the post-pandemic era," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    3. Samuel Juhel & Adrien Delahais & Vincent Viguie, 2023. "Robustness of the evaluation of indirect costs of natural disasters: example of the ARIO model," CIRED Working Papers hal-04196749, HAL.
    4. Lochan Kumar Batala & Wangxing Yu & Anwar Khan & Kalpana Regmi & Xiaoli Wang, 2021. "Natural disasters' influence on industrial growth, foreign direct investment, and export performance in the South Asian region of Belt and road initiative," 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. 108(2), pages 1853-1876, September.
    5. Mark M Dekker & Debabrata Panja, 2021. "Cascading dominates large-scale disruptions in transport over complex networks," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-17, January.
    6. Wang, Qianzi & Zhou, Qi & Lin, Jin & Guo, Sen & She, Yunlei & Qu, Shen, 2024. "Risk assessment of power outages to inter-regional supply chain networks in China," Applied Energy, Elsevier, vol. 353(PB).

    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:nat:natsus:v:3:y:2020:i:8:d:10.1038_s41893-020-0523-8. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.nature.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.