IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2025i1p363-d1829417.html

Prioritization of Emergency Strengthening Schemes for Existing Buildings After Floods Based on Prospect Theory

Author

Listed:
  • Wenlong Li

    (School of Urban Economics and Management, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Qiuyu Li

    (School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Yayu Shao

    (School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Qin Li

    (School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Lixin Jia

    (School of Physical Education, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Yijun Liu

    (School of Education Sciences, Shaanxi Xueqian Normal University, Xi’an 710061, China)

Abstract

The impacts of flooding on people’s livelihoods are profound. Therefore, the rapid restoration of safe conditions in existing buildings post-flood, through rational and effective emergency strengthening, constitutes a most urgent priority. Focusing on the specific challenges of flood-induced damage to buildings, coupled with the constraints of limited resources and time-sensitive conditions after a disaster, this study established an indicator system for prioritizing emergency strengthening schemes for existing buildings after floods. A dedicated prioritization model is developed by integrating Prospect Theory and a combination weighting method. The application of this model to a practical engineering case verifies its feasibility and effectiveness. The results demonstrate that the proposed model can rationally and efficiently select the optimal scheme, thereby providing new insights for the quantitative selection of optimal emergency strengthening schemes for existing buildings after floods. This study also highlights the model’s transferability to different disaster scenarios, while its limitations were discussed and future research directions outlined.

Suggested Citation

  • Wenlong Li & Qiuyu Li & Yayu Shao & Qin Li & Lixin Jia & Yijun Liu, 2025. "Prioritization of Emergency Strengthening Schemes for Existing Buildings After Floods Based on Prospect Theory," Sustainability, MDPI, vol. 18(1), pages 1-22, December.
    • Handle: RePEc:gam:jsusta:v:18:y:2025:i:1:p:363-:d:1829417
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/1/363/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/18/1/363/
    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:2025:i:1:p:363-:d:1829417. 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.