Acta Geographica Sinica ›› 2014, Vol. 69 ›› Issue (12): 1810-1820.doi: 10.11821/dlxb201412007

• Orginal Article • Previous Articles     Next Articles

Validation of spatial decay law caused by urban commercial center's mutual attraction in polycentric city: Spatio-temporal data mining of floating cars' GPS data in Shenzhen

Suhong ZHOU1,2(), Xinhua HAO1,2, Lin LIU1,2,3   

  1. 1. School of Geography and Planning, Center of Integrated Geographic Information Anlaysis, Sun Yat-sen University, Guangzhou 510275, China
    2. Guangdong Key Laboratory for Urbanization and Geo-simulation, Guangzhou 510275, China
    3. Department of Geography, University of Cincinnati, Cincinnati, OH 45221-0131, USA
  • Received:2013-11-01 Revised:2014-06-01 Online:2014-12-25 Published:2015-01-24
  • Supported by:
    National High Technology Research and Development Programme of China, No.2013AA122302;National Natural Science Foundation of China, No.41271166, No.41171140

Abstract:

Urban multi-center phenomenon is very common in many countries, which challenges urban models with the assumption of single center. Although there are literatures trying to explain the mechanism of multi-center urban system using models based on multi-center, the lack of empirical research makes the models being questioned. Under the pattern of multi-center, does the traditional classical geographic model like law of distance decay exist? What factors will disturb the model? This study aims to analyze and validate the spatio-temporal discipline of attration and mutual relationship between two commercial centers, based on spatio-temporal data mining of floating cars' GPS data and the recognition of two important commercial centers in Shenzhen City, China. The study reveals that the attraction between two commercial centers shows distinct power function relationship, which validates the law of geographic spatial decay. At the same time, the spatial decay's law shows some local disturbances due to a series of causes, such as the mutual attraction from other important and crowded areas, the influence of infrastructure to accessibility, urban spatial layout factor like landform and humanity factors like consumer behavior and preference etc.

Key words: multicenter, urban spatial structure, spatial decay, GPS, big data, Shenzhen