EconPapers    
Economics at your fingertips  
 

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

Liu Qun-hong, Zhong Pu-ping and Li Min
Additional contact information
Liu Qun-hong: Jiangxi Normal University
Zhong Pu-ping: Jiangxi Normal University
Li Min: Jiangxi Normal University

Chapter Chapter 91 in Proceedings of the 19th International Symposium on Advancement of Construction Management and Real Estate, 2015, pp 1111-1120 from Springer

Abstract: 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.

Keywords: Urban trade area; Evolution mechanism; Gray correlation analysis (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-46994-1_91

Ordering information: This item can be ordered from
http://www.springer.com/9783662469941

DOI: 10.1007/978-3-662-46994-1_91

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-3-662-46994-1_91