IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2026i12p6153-d1967962.html

Participatory Design for Kitchen Waste Reduction: A Collaborative System Model (CSM) Approach

Author

Listed:
  • Zongliang Shang

    (School of Design, Central Academy of Fine Arts, Beijing 100102, China)

  • Xinxiang Li

    (School of Design, Central Academy of Fine Arts, Beijing 100102, China)

  • Shuai Sun

    (School of Design and Art, Hunan University, Changsha 410082, China)

  • Binbin Shao

    (School of Design and Art, Hunan University, Changsha 410082, China)

Abstract

This study addresses the critical challenge of food waste in the hospitality sector, directly contributing to Sustainable Development Goal (SDG) 12.3. We conducted an intervention at a community-based culinary innovation center involving 18 participants. The research integrated the Collaborative System Model (CSM)—a framework that facilitates multi-stakeholder co-creation through knowledge interaction and feedback loops—into a Participatory Design (PD) process. Results demonstrated that the intervention reduced fruit waste mass by 72% per session and increased byproduct reuse rates from 15% to 68%. Sensory evaluations confirmed that these waste-reduction practices did not compromise product quality ( p > 0.05). This approach provides a behavior-anchored unit process for pre-consumer waste reporting.

Suggested Citation

  • Zongliang Shang & Xinxiang Li & Shuai Sun & Binbin Shao, 2026. "Participatory Design for Kitchen Waste Reduction: A Collaborative System Model (CSM) Approach," Sustainability, MDPI, vol. 18(12), pages 1-20, June.
    • Handle: RePEc:gam:jsusta:v:18:y:2026:i:12:p:6153-:d:1967962
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/12/6153/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/18/12/6153/
    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:12:p:6153-:d:1967962. 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 The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (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.