LI Cong-ying, MA Rong-guo, WANG Yu-ping, WANG Zhao-fei. Characteristics and structure analysis of urban slow mode traffic network[J]. Journal of Traffic and Transportation Engineering, 2011, 11(2): 72-78. doi: 10.19818/j.cnki.1671-1637.2011.02.012
Citation: LI Cong-ying, MA Rong-guo, WANG Yu-ping, WANG Zhao-fei. Characteristics and structure analysis of urban slow mode traffic network[J]. Journal of Traffic and Transportation Engineering, 2011, 11(2): 72-78. doi: 10.19818/j.cnki.1671-1637.2011.02.012

Characteristics and structure analysis of urban slow mode traffic network

doi: 10.19818/j.cnki.1671-1637.2011.02.012
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  • Author Bio:

    LI Cong-ying (1977-), female, lecturer, doctoral student, +86-29-88361598, licongying@126.com

    MA Rong-guo(1955-), male, professor, PhD, +86-29-82334618, mrg@chd.edu.cn

  • Received Date: 2011-01-12
  • Publish Date: 2011-04-25
  • Based on complex network theory, urban slow mode traffic network was converted into topology structures in space L and space P. Through analyzing the basic property indexes of complex network, such as average path length, clustering coefficient and degree distribution, the network type was ascertained, and the hub points were found in space L. Through analyzing the structure characteristic indexes of complex network in space P, such as node degree, closeness and betweenness, and using the fuzzy cluster method, a network structure classification method of urban slow mode traffic complex network was put forward, and the slow mode traffic properties in Weinan were analyzed. Analysis result shows that the small-word characteristic of slow mode traffic network in Weinan center zone indicates the better reachability of traffic network. The important degrees of urban slow points can be reflected by using the sacle-free network characteristics of weighted complex network in space L. Through analyzing the structure characteristic indexes of complex network in space P, the structure classes of urban slow mode traffic network can be classified as slow corridors, slow passages and slow leisure ways by using the fuzzy cluster method.

     

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