IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i5p1053-d1654465.html
   My bibliography  Save this article

Research on the Route Selection Method of the Grand Canal National Trails for Central Urban Areas: A Case Study of the Grand Canal, the Old Town of Jining City Section, China

Author

Listed:
  • Yiran Sun

    (College of Water Resources & Civil Engineering, China Agricultural University, Beijing 100083, China)

  • Xuesong Xi

    (College of Water Resources & Civil Engineering, China Agricultural University, Beijing 100083, China)

  • Ning Lyu

    (China Construction Engineering Design & Research Institute Co., Ltd., Beijing 100037, China)

Abstract

Scientific route selection is the premise of constructing the Grand Canal National Trails (GCNTs). How to highlight the historical and cultural characteristics of the cities along the Grand Canal and meet the diverse needs of urban residents and tourists through GCNTs while considering the reality is an important goal of the route selection research. Taking the old town of Jining City as an example, this study proposes a theoretical framework for route selection of the GCNTs based on resource connectivity, spatial continuity, and residents’ promotion, with a realization path of “three sections and six steps”. The results show that the optimal connection path between “canal–resource–community” can be found through systematic methods such as the optimized minimum cumulative resistance (MCR) model and space syntax, and the “main route–branch route–connection route” system of the GCNTs can be constructed. The GCNTs closely connect the canals, 59 resources, and 352 communities into an integral spatial network, forming a complete canal cultural narrative system and path. The results offer theoretical and methodological support for the route selection of GCNTs in 35 prefecture-level cities and 150 districts and counties along the Grand Canal, providing reference for route selections of similar related concepts in central urban areas.

Suggested Citation

  • Yiran Sun & Xuesong Xi & Ning Lyu, 2025. "Research on the Route Selection Method of the Grand Canal National Trails for Central Urban Areas: A Case Study of the Grand Canal, the Old Town of Jining City Section, China," Land, MDPI, vol. 14(5), pages 1-24, May.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:5:p:1053-:d:1654465
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/5/1053/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/14/5/1053/
    Download Restriction: no
    ---><---

    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:gam:jlands:v:14:y:2025:i:5:p:1053-:d:1654465. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.