IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2026i1p456-d1831778.html

Spatial Configuration and Structural Resilience in the Population Flow Network: An Analysis of the Yimeng Mountainous Region

Author

Listed:
  • Jinlong Zhao

    (College of Resources and Environment, Linyi University, Linyi 276005, China)

  • Chen Huang

    (College of Resources and Environment, Linyi University, Linyi 276005, China)

  • Dawei Mei

    (College of Resources and Environment, Linyi University, Linyi 276005, China)

  • Liang Wang

    (College of Resources and Environment, Linyi University, Linyi 276005, China)

  • Haijiao Yu

    (College of Resources and Environment, Linyi University, Linyi 276005, China)

Abstract

A systematic spatial resilience analysis of population flow networks in underdeveloped mountain towns is essential for sustainable urban–rural integration. Using mobile signaling data from March 2023, this study constructs a population flow network across 69 towns in the Yimeng Mountainous Region. This study proposes a novel targeted-attack framework based on centrality and assesses structural resilience along the three dimensions of efficiency, transitivity, and connectedness. Population flows exhibit a twin-core north–south structure, characterized by a hub-and-spoke system in the south and a self-stabilizing triangular configuration in the north. The network demonstrates strong spatial agglomeration and heterogeneity, with modular clustering revealing four functional modules shaped by administrative boundaries. It exhibits small-world properties, attributed to high transmission efficiency and strong local clustering. The network shows robust resilience to disruptions. Targeted attacks based on betweenness centrality significantly compromise structural resilience; efficiency, transmission, and connectivity change linearly at low attack intensities but decline sharply at higher levels.

Suggested Citation

  • Jinlong Zhao & Chen Huang & Dawei Mei & Liang Wang & Haijiao Yu, 2026. "Spatial Configuration and Structural Resilience in the Population Flow Network: An Analysis of the Yimeng Mountainous Region," Sustainability, MDPI, vol. 18(1), pages 1-22, January.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:1:p:456-:d:1831778
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/1/456/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/18/1/456/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:gam:jsusta:v:18:y:2026:i:1:p:456-:d:1831778. 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.