IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i7p1411-d1694934.html
   My bibliography  Save this article

A Supply–Demand-Driven Framework for Evaluating Service Effectiveness of University Campus Emergency Shelter: Evidence from Central Tianjin Under Earthquake Scenarios

Author

Listed:
  • Hao Gao

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Yuqi Han

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Jiahao Zhang

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Yuanzhen Song

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Tianlin Zhang

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Fengliang Tang

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Su Sun

    (School of Architecture, Tianjin Chengjian University, Tianjin 300384, China)

Abstract

Urban disaster risks are escalating, and university campus emergency shelters (UCESs) are key to alleviating the supply–demand imbalance in emergency shelter services (ESSs) within high-density central urban areas. However, existing studies lacked the measurement of UCES service effectiveness from a regional supply–demand perspective, limiting the ability to guide planning practices. Therefore, we focused on the capacity of UCESs to improve regional supply–demand relationships and developed a service effectiveness evaluation framework for UCESs in the central urban area of Tianjin under an earthquake scenario. We identified emergency shelter spaces within the campuses and developed a campus–city collaborative shelter capacity model to determine their service supply capacity. Then we quantified regional service demand driven by seismic risk. Finally, we quantified the service effectiveness of each UCES by constructing a service effectiveness evaluation model. Results showed that (1) the total shelter capacity and service coverage of 13 UCESs accounted for approximately 32.1% of the central district’s population and 67.5% of its land area, indicating their strong potential to provide large-scale ESSs. (2) Average seismic risk values ranged from 0.200 to 0.260, exhibiting the characteristic of being higher in the south and lower in the north. (3) Service effectiveness was classified into three levels—higher (1.150–1.257), medium (0.957–0.988), and lower (0.842–0.932)—corresponding to planning interventions that can be implemented based on them. This study aims to reveal differences between different UCESs to improve regional supply–demand relationships by evaluating their service effectiveness and supporting refined emergency management and planning decisions.

Suggested Citation

  • Hao Gao & Yuqi Han & Jiahao Zhang & Yuanzhen Song & Tianlin Zhang & Fengliang Tang & Su Sun, 2025. "A Supply–Demand-Driven Framework for Evaluating Service Effectiveness of University Campus Emergency Shelter: Evidence from Central Tianjin Under Earthquake Scenarios," Land, MDPI, vol. 14(7), pages 1-40, July.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:7:p:1411-:d:1694934
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/7/1411/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/14/7/1411/
    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:jlands:v:14:y:2025:i:7:p:1411-:d:1694934. 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.