PROGRESS IN GEOGRAPHY ›› 2020, Vol. 39 ›› Issue (10): 1619-1631.doi: 10.18306/dlkxjz.2020.10.002

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Structural resilience evolution of multiple urban networks in the Harbin-Dalian urban belt

XIE Yongshun1,2(), WANG Chengjin1,2,*(), HAN Zenglin3,4, LIU Shuzhou4   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. College of Resources and Environment, University of the Chinese Academy of Sciences, Beijing 100049, China
    3. Center for Studies of Marine Economy and Sustainable Development, Liaoning Normal University, Dalian 116029, Liaoning, China
    4. School of Geography, Liaoning Normal University, Dalian 116029, Liaoning, China
  • Received:2019-10-10 Revised:2020-03-25 Online:2020-10-28 Published:2020-12-28
  • Contact: WANG Chengjin;
  • Supported by:
    National Natural Science Foundation of China(42071151);Strategic Priority Research Program of the Chinese Academy of Sciences(XDA20010101)


Network structural resilience is an important direction for the future development of urban spatial organization, which is of great significance for the high-quality coordinated development of urban agglomerations. On the basis of systematic review and summary of existing theoretical and empirical research on complex networks, we built a model to evaluate the evolution characteristics of urban network structural resilience. Taking the Harbin-Dalian urban belt as the research object, we explored the evolution direction and quality of multiple urban network structural resilience. The results show that: 1) There are differences in the hierarchy and matching of multiple urban networks. In terms of hierarchy, transportation and financial networks tend to be flat, while information and innovation networks tend to be three dimensional; In terms of matching, transportation network and innovation network are characterized by homogeneity and heterogeneity respectively, and their characteristics are strengthened, while financial network and information network are characterized by heterogeneity but their characteristics are weakened. 2) Network structural resilience type remains stable. Transportation network can be characterized as core-periphery network of homogeneity, while finance, information, and innovation networks can be categorized as resilient network. The structural resilience of transportation and financial networks has declined, while that of information and innovation networks has increased. The comprehensive level of resilience evolution is as follows: innovation cooperation network > information association network > 0 > financial connection network > transportation network. 3) The restrictive factors of the resilience evolution of urban network structure in the Harbin-Dalian urban belt can be traced back to three aspects: core cities, peripheral cities, and factor flow. In view of these, we put forward the optimization path of the resilience evolution of urban network structure in the Harbin-Dalian urban belt from three aspects: overall structure, regional difference, and factor flow.

Key words: multiple urban networks, structural resilience, resilience evolution assessment, Harbin-Dalian urban belt