PROGRESS IN GEOGRAPHY ›› 2008, Vol. 27 ›› Issue (6): 112-120.doi: 10.11820/dlkxjz.2008.06.016

• Original Articles • Previous Articles    

Complexity Perspectives on Transportation Network

MO Huihui1,2,3, WANG Jiao'e1, JIN Fengjun1   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China;
    3. China Communications and Transportation Association,Beijing 100053, China
  • Received:2008-07-01 Revised:2008-10-01 Online:2008-11-25 Published:2008-11-25


Based on analyzing complex network theory applied in aviation, railway and urban transportation, we conclude that complexity of transportation network comes from its systematic complexity, and that the general analysis method of complex network ignores the attribute of geographic space, which brings out many problems in analyzing real-world network. Complex network analysis based on statistical physics is mostly about theoretical analysis or data modeling on topology network, which has greater disparity in transportation networks and dynamic mechanism. Transportation network includes four kinds of network structure: demand network, organization network, route network and infrastructure network, and is a compound networked structure with open complex system. Transportation is a kind of science which focuses strongly on practical application, so it needs a recurrent force to drive theory to modal and method, then to practice. We put forward in future some vital aspects of complexity analysis on transportation network, which includes (1) elemental recognition on the structure complexity of transportation system; (2) network complex analysis based on geographic spatial characteristics; (3) analysis and application of network structure based on organization and efficiency; (4) interplay between the network structure and flow caused by interaction; (5) character of local structure of network and its effect on global structure; and (6) network evolution affected by systemic open.

Key words: complex network, complexity, scale-free, small-world, transportation network