IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2026i2p767-d1838645.html

Urban Health Resource Supply and Demand Assessment and Clustering Zoning Under Different Transportation Modes Based on MM3SFCA: A Case Study of Harbin, China

Author

Listed:
  • Tianhang Zhao

    (School of Landscape Architecture, Northeast Forestry University, Harbin 150040, China)

  • Jun Zhang

    (School of Landscape Architecture, Northeast Forestry University, Harbin 150040, China)

Abstract

The supply and demand levels of urban health resources directly impact residents’ quality of life and health. This study employs the Multi-Mode Three-Step Floating Catchment Area (MM3SFCA) method to assess the supply and demand levels of health resources in the main urban area of Harbin under different transportation modes. To address the gap in previous studies that did not consider the impact of the spatial distribution of health resources at varying distances on residents, K-means clustering analysis was applied. The results indicate a significant imbalance between supply and demand for health resources in Harbin’s main urban area. Specifically, approximately 86% of the population met the supply-and-demand standards for health care facilities. However, only 29% and 41% of the population met the supply and demand standards for physical activity facilities and leisure wellness facilities, respectively. From a transportation perspective, the findings reveal that in areas with balanced or abundant supply and demand, residents primarily rely on driving and public transportation. This suggests that health resources are still concentrated in areas far from residential zones, thereby affecting accessibility to resources for some residents.

Suggested Citation

  • Tianhang Zhao & Jun Zhang, 2026. "Urban Health Resource Supply and Demand Assessment and Clustering Zoning Under Different Transportation Modes Based on MM3SFCA: A Case Study of Harbin, China," Sustainability, MDPI, vol. 18(2), pages 1-22, January.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:2:p:767-:d:1838645
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/2/767/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/18/2/767/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    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:2:p:767-:d:1838645. 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.