中国地理科学 ›› 2014, Vol. 0 ›› Issue (1): 126-136.doi: 10.1007/s11769-013-0635-4

• 论文 • 上一篇    

Evolution and Spatial Patterns of Spheres of Urban Influence in China

WANG Kaiyong1, DENG Yu1,2, SUN Daowei3, SONG Tao1,4   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2. Harvard University, Cambridge 02138, USA;
    3. The University of Adelaide Business School, Adelaide 5005, Australia;
    4. University of Chinese Academy of Sciences, Beijing 100049, China
  • 收稿日期:2012-08-21 修回日期:2013-01-05 出版日期:2014-01-06 发布日期:2014-01-06
  • 通讯作者: DENG Yu,ydeng@seas.harvard.edu E-mail:ydeng@seas.harvard.edu
  • 基金资助:

    Under the auspices of National Natural Science Foundation of China (No. 40901088, 41271174)

Evolution and Spatial Patterns of Spheres of Urban Influence in China

WANG Kaiyong1, DENG Yu1,2, SUN Daowei3, SONG Tao1,4   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2. Harvard University, Cambridge 02138, USA;
    3. The University of Adelaide Business School, Adelaide 5005, Australia;
    4. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2012-08-21 Revised:2013-01-05 Online:2014-01-06 Published:2014-01-06
  • Contact: DENG Yu,ydeng@seas.harvard.edu E-mail:ydeng@seas.harvard.edu

摘要:

This article presents the findings of a study of the spheres of urban influence with regard to all cities in China (not including Hong Kong, Macau and Taiwan Province of China) in the years 1990, 2000 and 2009. An optimized gravity model with comprehensive time distance was used to carry out a detailed analysis of the spatial patterns of Chinese spheres of urban influence and the spatial characteristics of urban agglomerations. Such urban agglomerations are characterized by high density population and a developed economy, which are also considered as the national competition unit. This paper initially identifies four spatial patterns of urban agglomerations based on the spatial layout of city groups during their evolution. Some basic characteristics of urban agglomerations are outlined, including the number of cities, the size of cities and the functions of urban centers. These characteristics are examined by using statistical methods and Geographic Information System (GIS). The main findings from this research are that the development stages and structures of urban agglomerations in China vary significantly. It is also clear that the stages and evolution of spatial patterns are strongly affected and dominated by both policy and location factors.

关键词: spheres of urban influence, types of spatial pattern, dynamic evolution, urban agglomeration

Abstract:

This article presents the findings of a study of the spheres of urban influence with regard to all cities in China (not including Hong Kong, Macau and Taiwan Province of China) in the years 1990, 2000 and 2009. An optimized gravity model with comprehensive time distance was used to carry out a detailed analysis of the spatial patterns of Chinese spheres of urban influence and the spatial characteristics of urban agglomerations. Such urban agglomerations are characterized by high density population and a developed economy, which are also considered as the national competition unit. This paper initially identifies four spatial patterns of urban agglomerations based on the spatial layout of city groups during their evolution. Some basic characteristics of urban agglomerations are outlined, including the number of cities, the size of cities and the functions of urban centers. These characteristics are examined by using statistical methods and Geographic Information System (GIS). The main findings from this research are that the development stages and structures of urban agglomerations in China vary significantly. It is also clear that the stages and evolution of spatial patterns are strongly affected and dominated by both policy and location factors.

Key words: spheres of urban influence, types of spatial pattern, dynamic evolution, urban agglomeration