IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-981-19-5256-2_54.html
   My bibliography  Save this book chapter

Analysis on the Housing Price Spatial Linkage Network of Cities in Sichuan Province Based on Gravity Model

In: Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Kehao Chen

    (Chongqing University)

Abstract

As one of the important factors affecting the development of urban, housing price and its spatial correlation are the attention of the recent academy. Based on the housing prices data, population data, GDP and geographical distance data of twenty one cities and autonomous prefectures in Sichuan Province from January 2020 to December 2020, this paper establishes the modified gravity model and constructs the spatial linkage network of urban housing prices, using the kmeans clustering algorithm to explore the spatial connection of housing prices between different urbans. The results show that: (1) from the overall network structure, the integration of housing price special linkage network in Sichuan Province is still in a low stage, and most cities are at the margin of housing price spatial linkage network; (2) from the perspective of local network structure, Chengdu is at the center of the whole housing price association network. Deyang and Meishan have certain influence on housing price changes of Chengdu in a mutual way. (3) In the result of clustering analysis, the correlation degree of urban housing prices in Sichuan Province shows a clear imbalance, and the strong correlation circle only includes Chengdu, Deyang, and Meishan. In light of the above results, this paper proposes some suggestions for a healthy housing market development according to the housing price spatial linkage network.

Suggested Citation

  • Kehao Chen, 2022. "Analysis on the Housing Price Spatial Linkage Network of Cities in Sichuan Province Based on Gravity Model," Lecture Notes in Operations Research, in: Hongling Guo & Dongping Fang & Weisheng Lu & Yi Peng (ed.), Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, pages 684-698, Springer.
    • Handle: RePEc:spr:lnopch:978-981-19-5256-2_54
    DOI: 10.1007/978-981-19-5256-2_54
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnopch:978-981-19-5256-2_54. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.