IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-662-46994-1_91.html
   My bibliography  Save this book chapter

An Empirical Study of Urban Trade Area Evolutionary Mechanism Based on Gray Correlation Analysis—A Case Study in Nanchang

In: Proceedings of the 19th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Liu Qun-hong

    (Jiangxi Normal University)

  • Zhong Pu-ping

    (Jiangxi Normal University)

  • Li Min

    (Jiangxi Normal University)

Abstract

The rapid development of economy and society has brought the prosperity of commerce with the rising of commercial real estate and expansion of urban trade area. The study of evolution of urban trade area is of great importance to the commercial real estate investment and urban commercial planning. In this paper, we analyze the factors affecting the evolution of urban trade area and the impact mechanism of them by taking Nanchang city of Jiangxi Province for example. The paper also illustrates the relative importance of the factors affecting the urban trade area evolution by means of grey correlative degree analysis. The empirical study provides the foundation for the decision-making and planning of the relevant real estate corporations and the local government.

Suggested Citation

  • Liu Qun-hong & Zhong Pu-ping & Li Min, 2015. "An Empirical Study of Urban Trade Area Evolutionary Mechanism Based on Gray Correlation Analysis—A Case Study in Nanchang," Springer Books, in: Liyin Shen & Kunhui Ye & Chao Mao (ed.), Proceedings of the 19th International Symposium on Advancement of Construction Management and Real Estate, edition 127, chapter 0, pages 1111-1120, Springer.
  • Handle: RePEc:spr:sprchp:978-3-662-46994-1_91
    DOI: 10.1007/978-3-662-46994-1_91
    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:978-3-662-46994-1_91. 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.