IDEAS home Printed from https://ideas.repec.org/a/taf/rcitxx/v26y2023i16p2629-2646.html
   My bibliography  Save this article

How does air quality affect tourist travel volume and destination preference? An analysis based on mobile tracking data

Author

Listed:
  • Yuwei Tan
  • Luyu Yang
  • Yao Liu
  • Sike Hu
  • Kejie Xu
  • Jun Liu

Abstract

There is increasing research regarding the effect of air quality on tourism. This study used the Negative Binomial Model (N) to explore the relationship between air quality and travel volume and preference based on the air quality in the place of origin. From the perspective of both tourist origin and destination air quality, based on the push–pull theory, the Panel Corrected Standard Errors (PCSE) was then used to explore the relationship of air quality and tourism between tourist origin and destination. Daily mobile tracking data were used to conduct the research. The study shows that within cities, declining air quality levels in the place of origin have a negative impact on travel, while between cities, when air quality in the place of origin declines, the public will travel to areas with superior air quality, indicating that declining air quality levels in the place of origin can promote long-distance tourism activities. The impact of declining air quality levels on different types of tourists varies, with nature-based tourists being most affected by air quality levels, followed by leisure, culture, and entertainment.

Suggested Citation

  • Yuwei Tan & Luyu Yang & Yao Liu & Sike Hu & Kejie Xu & Jun Liu, 2023. "How does air quality affect tourist travel volume and destination preference? An analysis based on mobile tracking data," Current Issues in Tourism, Taylor & Francis Journals, vol. 26(16), pages 2629-2646, August.
  • Handle: RePEc:taf:rcitxx:v:26:y:2023:i:16:p:2629-2646
    DOI: 10.1080/13683500.2022.2091430
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13683500.2022.2091430
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13683500.2022.2091430?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.

    More about this item

    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:taf:rcitxx:v:26:y:2023:i:16:p:2629-2646. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rcit .

    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.