IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0332878.html
   My bibliography  Save this article

Three-step optimization based on a multi-model of rural tourism sites

Author

Listed:
  • Qi Li
  • Mengting Ai
  • Jing Luo
  • Yaru Sun
  • Lingling Tian

Abstract

Rural tourism is a vital facet of rural revitalization and balanced urban-rural development efforts. As socio-economic development and policy systems change, the tourism demand market progressively transitions from urban to rural areas. This study, based on ‘quantity-location-capacity’ principles, integrates actual environmental conditions and employs location-allocation and algorithmic models to enhance the accessibility of rural tourism sites in the metropolitan fringe area of Wuhan. The results show: ① Wuhan’s distribution of rural tourism destinations is uneven, with the suburbs demonstrating significantly higher composite accessibility compared to the central urban area; ② Based on this experiment’s results and the costs of optimization, there are eight new potential tourist locations; ③ The disparity in accessibility to Wuhan’s tourist destinations has been reduced, resulting in enhanced tourism efficiency and equity. This study can offer recommendations for rural tourism planning and development strategies and provide references for academic research methods.

Suggested Citation

  • Qi Li & Mengting Ai & Jing Luo & Yaru Sun & Lingling Tian, 2025. "Three-step optimization based on a multi-model of rural tourism sites," PLOS ONE, Public Library of Science, vol. 20(9), pages 1-16, September.
  • Handle: RePEc:plo:pone00:0332878
    DOI: 10.1371/journal.pone.0332878
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0332878
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0332878&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0332878?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
    ---><---

    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:plo:pone00:0332878. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.