IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-44916-1_22.html
   My bibliography  Save this book chapter

Study on the Panjin Commercial Real Estate Demand Forecast Based on Grey System Theory

In: Proceedings of the 18th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Yachen Liu

    (Management School of Shenyang Jianzhu University)

  • Shuai Zhang

    (Management School of Shenyang Jianzhu University)

Abstract

Based on the 2005–2011 Panjin City commercial business space and its 13 associated factors data, analyze the gray correlation degree of each factor with Panjin City commercial business space. And based on the Panjin City commercial business space selling data of 2008–2011, constructed the Panjin City commercial real estate demand forecasting gray GM (1,1) model, after tested, the model accuracy level is II. Using the gray GM (1,1) built to forecast demand forecast the Panjin City commercial real estate selling area of 2012–2015 and made some proposals to the Panjin City commercial real estate development.

Suggested Citation

  • Yachen Liu & Shuai Zhang, 2014. "Study on the Panjin Commercial Real Estate Demand Forecast Based on Grey System Theory," Springer Books, in: Donglang Yang & Yanjun Qian (ed.), Proceedings of the 18th International Symposium on Advancement of Construction Management and Real Estate, edition 127, chapter 0, pages 215-222, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-44916-1_22
    DOI: 10.1007/978-3-642-44916-1_22
    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:sprchp:978-3-642-44916-1_22. 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.