IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/c42sf.html
   My bibliography  Save this paper

Using Digital Trace Data to Monitor Human Mobility and Support Rapid Humanitarian Responses

Author

Listed:
  • Rowe, Francisco

    (University of Liverpool)

Abstract

Global warming is increasing the frequency of extreme weather events leading to an increased risk of large-scale population displacements. Since June 2022, Pakistan has recorded destructive flash flooding resulting from melting glaciers and torrential monsoon rainfall. Emergency responses have documented flood-related deaths, injuries and infrastructure, less is known about population displacements resulting from recent floods. Information on these populations and mobility is critical to ensure the appropriate delivery of humanitarian assistance where it is most needed. Lack of granular spatial data in real time have been a key barrier. This article uses digital footprint data from Meta-Facebook to identify the patterns of population displacement in Pakistan in near real time.

Suggested Citation

  • Rowe, Francisco, 2022. "Using Digital Trace Data to Monitor Human Mobility and Support Rapid Humanitarian Responses," OSF Preprints c42sf, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:c42sf
    DOI: 10.31219/osf.io/c42sf
    as

    Download full text from publisher

    File URL: https://osf.io/download/632f40e218f4581012429298/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/c42sf?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. Rowe, Francisco & Neville, Ruth & González-Leonardo, Miguel, 2022. "Sensing Population Displacement from Ukraine Using Facebook Data: Potential Impacts and Settlement Areas," OSF Preprints 7n6wm, Center for Open Science.
    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.

      More about this item

      NEP fields

      This paper has been announced in the following NEP Reports:

      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:osf:osfxxx:c42sf. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

      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.