Acta Geographica Sinica ›› 2006, Vol. 61 ›› Issue (12): 1311-1325.doi: 10.11821/xb200612008

Previous Articles     Next Articles

Spatial Structure Stability of Urban Agglomerations in China

SONG Jitao1,2, FANG Chuanglin1, SONG Dunjiang1,2   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Graduate School of the Chinese Academy of Sciences, Beijing 100039, China
  • Received:2006-03-07 Revised:2006-10-19 Online:2006-12-25 Published:2006-12-25
  • Supported by:

    National Natural Science Foundation of China, No.40335049; No.40471059

Abstract:

This paper brings forward the concept for the first time based on central place theory and fractal theory by creating the model of centricity exponent firstly, and then integrates centricity exponent and fractal dimension with each other to measure the stability. Before the assessment, we select K = 4 as a parameter to calculate centricity exponent and fractal dimension, and suppose that it is right to select central place system as the frame of reference. The Result shows that spatial structure stability is in direct proportion with the value of central index, the number of nodes, the value of network dimension, and comparability of urban agglomerations' spatial structure with that of central place structure system. We classify urban agglomerations in China into five types according to the value of centricity exponent and the spatial contact direction, and then divide the level of stability into five grades according to the value of semi-trapezoid fuzzy membership function. According to the number of urban agglomerations in different grades of stability, we find that the degree of spatial structure stability is low for urban agglomerations in China on the whole. This study is valuable to promote the development and exertion of spatial operation efficiency for urban agglomerations following on reasonable spatial allocation of nodes.

Key words: central place theory, urban agglomerations, centricity exponent, network dimension, spatial structure stability