IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i23p16282-d1287235.html
   My bibliography  Save this article

Analysis of Flood Risk for Vulnerable People Using Assumed Flood Area Data Focused on Aged People and Infants

Author

Listed:
  • Yuma Morisaki

    (Faculty of Transdisciplinary Sciences for Innovation, Institute of Transdisciplinary Sciences for Innovation, Kanazawa University, Kanazawa 920-1192, Japan)

  • Makoto Fujiu

    (Faculty of Transdisciplinary Sciences for Innovation, Institute of Transdisciplinary Sciences for Innovation, Kanazawa University, Kanazawa 920-1192, Japan)

  • Junichi Takayama

    (Graduate School of Sustainable Systems Science, Komatsu University, Komatsu 923-8511, Japan)

Abstract

During a large-scale disaster in Japan, vulnerable people, such as aged people, injured and sick people, infants, pregnant women, and foreign visitors to Japan, are most likely to be affected. This trend has not changed even in the case of floods where the process of disaster development is relatively moderate. However, in the case of flood disasters, the impact on vulnerable people can be minimized by evaluating the actual damage condition. The purpose of this study is to estimate the flood risk in the event of flooding for the elderly, the injured and sick, and infants, among those who need special care during disasters. The infant population was calculated using data from the national census maintained by Japan, and the aged and injured population was calculated using the National Health Insurance data, which are medical big data. Using these data, the regional distribution of the population was calculated, and then a spatial analysis was conducted with the data on the expected flood area in the event of flooding to estimate the exposed population. Through the analysis in this study, it was possible to estimate the flood risk per township by attribute, focusing on the aged, injured and sick, and infants. In Komatsu City, Ishikawa Prefecture, which was the subject of analysis in this study, the exposure of the elderly population in Mukaimotoori, Imae, Shirae, and Oki was high. In addition, the exposure of the infant population was high in Imae, Oki, Shirae, and Hitotsuhari. Town characteristics with a large exposed population were obtained, which is expected to be utilized for preliminary planning in the event of a flood.

Suggested Citation

  • Yuma Morisaki & Makoto Fujiu & Junichi Takayama, 2023. "Analysis of Flood Risk for Vulnerable People Using Assumed Flood Area Data Focused on Aged People and Infants," Sustainability, MDPI, vol. 15(23), pages 1-17, November.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16282-:d:1287235
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/23/16282/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/23/16282/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:15:y:2023:i:23:p:16282-:d:1287235. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.