IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v203y2024ics0040162524001872.html
   My bibliography  Save this article

Spatial Patterns of Drone Adoption: Insights from Communities in Southern California

Author

Listed:
  • Li, Xiangyu
  • Dang, Anrong

Abstract

Most US cities have seen a rapid proliferation of Civilian drones in the past decade. This study applies spatial regression models to identify the potential spatial clustering of drone adoption and the effects of socioeconomic, Information and communication technology (ICT) infrastructure, and land use characteristics, with a focus on the association between drone adoption and high-speed broadband coverage (which provides access to information and infrastructure for drone technology). Drone adoption exhibited a significant spatial clustering pattern, indicating spatial interaction in innovation adoption. The age, income, occupation, and land use characteristics significantly explained the drone adoption rate, while populations of color and communities with lower broadband coverage had lower drone adoption rates, indicating racial and ethnic disparities in innovation technology adoption. The underlying digital divide amplifies such disparities and requires the development of policy interventions to reduce inequality.

Suggested Citation

  • Li, Xiangyu & Dang, Anrong, 2024. "Spatial Patterns of Drone Adoption: Insights from Communities in Southern California," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    • Handle: RePEc:eee:tefoso:v:203:y:2024:i:c:s0040162524001872
    DOI: 10.1016/j.techfore.2024.123391
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162524001872
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2024.123391?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.

    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:eee:tefoso:v:203:y:2024:i:c:s0040162524001872. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.