SCIENTIA GEOGRAPHICA SINICA ›› 2020, Vol. 40 ›› Issue (6): 939-947.doi: 10.13249/j.cnki.sgs.2020.06.009

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The Urban Network Structure and Influential Mechanism of Guizhou Province from the Perspective of Various Flows

Zheng Longfei1(), Gu Weinan2,3, Long Fenjie1,4,*(), Zhang Su5   

  1. 1. Department of Construction Management and Hang Lung Center for Real Estate, Tsinghua University, Beijing 100084, China
    2. Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, China
    3. University of Chinese Academy of Sciences, Beijing 100049, China
    4. School of Economic & Management, Shijiazhuang Tiedao University, Shijiazhuang 050043, Hebei, China
    5. School of Big Data, Guizhou Institute of Technology, Guiyang 550003, Guizhou, China
  • Received:2019-05-21 Online:2020-06-01 Published:2020-12-07
  • Contact: Long Fenjie;
  • Supported by:
    National Social Science Foundation of China (14AJY012).


The flows of passengers, goods and information are important expressions of interaction between regions, and it is a new attempt to analyze the differences of urban network structure in the space of various flows. Based on the actual big data, such as mobile phone call detail records and highway toll data, the various flows between the county-level administrative areas of Guizhou Province are measured. This study comprehensively analyzes the control structure, hierarchical structure and core-periphery structure of urban network in Guizhou Province, through the methods of C-value and T-value analysis, dominant flow analysis and network centrality analysis. Then, the key factors influencing various flows between cities (counties) were identified, and the results show that: 1) The control structure of Guizhou Province in the space of information and material flows are similar, but there are differences in control nodes. 2) In the space of information and material flows, Guizhou Province has formed a hierarchical network structure of provincial city-prefecture-county. 3) Compared with the space of material flow, the degree of centralization of the spatial network structure of Guizhou Province in the space of information flow has been further strengthened, and the gaps between cities (counties) have been further expanded. 4) The material and information flows between regions will decrease significantly as distance increases, and the geographical, cultural, industrial and organizational distances have a greater hindrance to the material flows between regions than the information flows. The regional attributes, such as economic development level, infrastructure level and population size also have significant impacts on the various flows between cities (counties).

Key words: information flow, traffic flow, spatial structure, distance attenuation, Guizhou Province

CLC Number: 

  • F127