IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v146y2024icp356-370.html
   My bibliography  Save this article

Pandemic-driven acceptance of urban drone deliveries

Author

Listed:
  • Yuen, Kum Fai
  • Cai, Lanhui
  • Wee, Shaun Chuin Kit
  • Wang, Xueqin

Abstract

The objective of this study is to investigate the factors affecting the adoption of urban drone delivery as an infection prevention measure from a health-centric perspective. To this end, a theoretical model is developed, using the protection motivation theory as the backbone, with constructs from fear appeal theory and perceived value theory incorporated into the model. Subsequently, an online survey was administered to 450 participants living in Singapore. The results were analysed using structural equation modelling, revealing that perceived severity positively and significantly influences fear of COVID-19. The results also show that perceived vulnerability and fear of COVID-19, response efficacy and self-efficacy of drone deliveries positively and significantly impact perceived utility, while response cost has a significant negative impact on perceived utility. Both fear and perceived utility have a direct, positive and significant influence on the adoption intention of drone deliveries, with the overall most significant factor being fear of COVID-19. With these findings, this study has contributed to the understanding drone delivery adoption during pandemics. In this regard, the insights may assist logistics companies and transport policymakers in understanding concerns and motivations regarding drone deliveries.

Suggested Citation

  • Yuen, Kum Fai & Cai, Lanhui & Wee, Shaun Chuin Kit & Wang, Xueqin, 2024. "Pandemic-driven acceptance of urban drone deliveries," Transport Policy, Elsevier, vol. 146(C), pages 356-370.
    • Handle: RePEc:eee:trapol:v:146:y:2024:i:c:p:356-370
    DOI: 10.1016/j.tranpol.2023.12.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X23003359
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2023.12.007?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:trapol:v:146:y:2024:i:c:p:356-370. 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.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    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.