IDEAS home Printed from https://ideas.repec.org/h/spr/prochp/978-3-319-99654-7_15.html
   My bibliography  Save this book chapter

Developing a Model for Estimating the Home Return of Evacuees Based on the 2011 Tohoku Earthquake Tsunami—Utilizing Mobile Phone GPS Big Data

In: Advances and New Trends in Environmental Informatics

Author

Listed:
  • Yoshiki Ogawa

    (The University of Tokyo)

  • Taisei Sato

    (The University of Tokyo)

  • Yuki Akiyama

    (The University of Tokyo)

  • Ryosuke Shibasaki

    (The University of Tokyo)

  • Yoshihide Sekimoto

    (The University of Tokyo)

Abstract

When considering evacuation center plans for earthquake disasters, it is necessary to know how many people will evacuate in each stage after the disaster over the long term. In this paper, by using mobile phone GPS data and tsunami survey data for the 2011 Tohoku Earthquake Tsunami disaster, we developed a home-return model. The model can estimate the rate of people who will have returned home any number of days after an earthquake disaster. As a result, we obtained high the root-mean-square error (RMSE) accuracy of the model. The study leads to a new understanding of the quantitative relationship between people returning home after evacuation and local vulnerability and tsunami hazards.

Suggested Citation

  • Yoshiki Ogawa & Taisei Sato & Yuki Akiyama & Ryosuke Shibasaki & Yoshihide Sekimoto, 2018. "Developing a Model for Estimating the Home Return of Evacuees Based on the 2011 Tohoku Earthquake Tsunami—Utilizing Mobile Phone GPS Big Data," Progress in IS, in: Hans-Joachim Bungartz & Dieter Kranzlmüller & Volker Weinberg & Jens Weismüller & Volker Wohlgemuth (ed.), Advances and New Trends in Environmental Informatics, pages 227-240, Springer.
    • Handle: RePEc:spr:prochp:978-3-319-99654-7_15
    DOI: 10.1007/978-3-319-99654-7_15
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:prochp:978-3-319-99654-7_15. 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.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.