IDEAS home Printed from https://ideas.repec.org/a/taf/jriskr/v23y2020i11p1452-1466.html
   My bibliography  Save this article

The limits of a disaster imagination: a study of two communities hit by Haiyan

Author

Listed:
  • Maria Inez Angela Z. Ponce de Leon

Abstract

In 2013, Typhoon Haiyan (Local Name: Yolanda) caused major damage and loss of life in the Philippines. Of special concern here is Palo, Leyte, which suffered the impact of storm surges. Previous studies blame media for not highlighting the impact of storm surges, people for ignoring the warnings given, and both people and government for not remembering and learning from previous storms. These notions assume that disaster knowledge, imagination, and memory are interlinked, and that government and people understand disaster risk in the same way. This study uses Encoding-Decoding Theory to challenge the assumption of uniform risk perception. The researcher investigated how warning information traveled from Palo’s local government to its citizens, how the information was understood, and what this understanding indicates about risk perceptions of the same phenomenon. The researcher conducted interviews and focus group discussions in two locations: one closer to the city center (Poblacion) and another closer to the sea (Coastal). Following systematic qualitative analysis of the data, the researcher found that local governments expected people to act intuitively on descriptive information. However, citizens assessed warnings against their immediate surroundings or an exact memory. Some were even resentful of their government, which changed how they regarded later storm warnings. These findings have implications for risk communication, which requires an understanding of risk subcultures and how they can vary even within the same municipality.

Suggested Citation

  • Maria Inez Angela Z. Ponce de Leon, 2020. "The limits of a disaster imagination: a study of two communities hit by Haiyan," Journal of Risk Research, Taylor & Francis Journals, vol. 23(11), pages 1452-1466, November.
  • Handle: RePEc:taf:jriskr:v:23:y:2020:i:11:p:1452-1466
    DOI: 10.1080/13669877.2019.1687576
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13669877.2019.1687576
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13669877.2019.1687576?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.

    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:taf:jriskr:v:23:y:2020:i:11:p:1452-1466. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJRR20 .

    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.