RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2016, Vol. 25 >> Issue (02): 190-198.doi: 10.11870/cjlyzyyhj201602003

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SPATIAL PATTERN ANALYSIS OF CHINA CONTAINER SHIPPING NETWORK ON COMPLEX THEORY

DU Chao1,2, WANG Jiao-e1, MO Hui-hui3   

  1. 1. Key Laboratory of Regional Sustainable Development Modeling/Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. China Academy of Civil Aviation Science and Technology, Beijing 100028, China
  • Received:2015-05-13 Revised:2015-09-15 Online:2016-02-20
  • Supported by:
    Fund project outstanding young talents of Geographical science and resources institute, Chinese academy of sciences (2011RC201)

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Abstract: With the rapid development of container shipping in our country, the discussions on spatial pattern organization of container shipping network gradually became a new focus in the literature. Based on complex network theory, this research abstracted the Chinese container shipping network as a set of edges (linkages) connecting a set of nodes (cities) across 51 cities and 197 shipping routes. This paper assessed the spatial structure and topological structure of coastal container shipping network, and Yangtze River network respectively by the network evaluation index and centrality index. The results indicated that Chinese container shipping network was evolving to "Small-world" network and became increasingly complicated. Compared with coastal container shipping network, the Yangtze River network presented more advantages on transfer function rather than direct accessibility and relative accessibility through betweenness, degree centrality and closeness evaluation because of the limitation of channel and natural conditions. Guangzhouwas the port city linked to the most cities of China, with Shanghai occupying the second place. However, the latter city was the most accessible port city in China. Besides, the container capacity was correlated with three centrality indices, with betweenness the highest relevance and closeness the lowest. Qingdao, Tianjin and parts of ports with high capacity but low centrality showed that they mainly served their hinterlands. Meanwhile, those with high centrality but low capacity covered a wide range of network, while they generally had less volume on linkages.

Key words: container ports, shipping network, spatial pattern, complex theory, China

CLC Number: 

  • K92
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