Journal of Geographical Sciences ›› 2011, Vol. 21 ›› Issue (3): 489-502.doi: 10.1007/s11442-011-0859-0

• Human-Environment Interactions • Previous Articles     Next Articles

Research on urban spheres of influence based on improved field model in central China

WANG Li1,2,4, DENG Yu3,4, LIU Shenghe3, WANG Jianghao3,4   

  1. 1. Institute of Policy and Management, CAS, Beijing 100190, China;
    2. Center for Interdisciplinary Studies of Natural and Social Sciences, CAS, Beijing 100190, China;
    3. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    4. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2010-09-29 Revised:2010-11-28 Online:2011-06-15 Published:2011-06-15
  • Supported by:

    Key Project of National Natural Science Foundation of China, No.40830741; Key Project of the National Eleventh-Five Year Research Program of China, No.2008BAH31B01; The Main Direction Program of Knowledge Innovation of the Chinese Academy of Sciences, No.KZCX2-YW-321

Abstract:

Due to unique advantages in clearly understanding the interrelationship between city and its hinterland, as well as city and city, the study of urban spheres of influence is becoming highlight in regional research. This paper improves traditional field model from two aspects: the composite indicator and regional accessibility, in order to delineate urban spheres of influence more reasonably. Taking three years of central China as a case study, this paper investigates dynamic evolution of urban spheres of influence. Focusing on the evolution of spatial pattern, we abstract five types and its corresponding three stages theoretically. Finally, recommendation of development has been made for each stage. This study undertakes certain exploration in the study of urban spheres of influence from the perspective of theory and practice, hoping to provide some references for the study in this field and other regional research.

Key words: field model, urban spheres of influence, spatial pattern, evolution, central China