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LAO Chao-hui, WU Qun-qi, WANG Fang. Division method of node level for highway network[J]. Journal of Traffic and Transportation Engineering, 2013, 13(2): 80-85. doi: 10.19818/j.cnki.1671-1637.2013.02.012
Citation: LAO Chao-hui, WU Qun-qi, WANG Fang. Division method of node level for highway network[J]. Journal of Traffic and Transportation Engineering, 2013, 13(2): 80-85. doi: 10.19818/j.cnki.1671-1637.2013.02.012
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Division method of node level for highway network

doi: 10.19818/j.cnki.1671-1637.2013.02.012

  • School of Economics and Management, Chang'an University, Xi'an 710064, Shaanxi, China

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  • Author Bio:

    LAO Chao-hui(1966-), male, doctoral student, +86-29-82334898, 139012438@qq.com

    WU Qurrqi(1956-), male, professor, PhD, +86-29-82334528, wqq@chd.edu.cn

  • Received Date: 2012-11-17
  • Publish Date: 2013-04-25
    Abstract
  • Aiming at the division problem of node level for highway network, the effective population number, effective per capita income, effective transportation demand and highway capacity were taken as the influence factors of node level division for highway network based on transportation demand theory. The gray theory was used, the clustering coefficient was calculated, a new division method of node level for highway network was set up, and example verification was carried out by using 17 highway network nodes in Shandong Province.Analysis result indicates that by using the proposed method, the 17 highway network nodes can be devided into 3 gray class levels according to the importance degrees. The first gray class level is constituted by the key nodes of highway network, including Jinan, Qingdao, Yantai, Weifang, Jining, Linyi, Dezhou and Heze. The second gray class level is constituted by the important nodes of highway network, including Zibo, Tai'an, Liaocheng and Binzhou. The third gray class level includes the general nodes of highway network, such as Zaozhuang, Dongying, Weihai, Rizhao and Laiwu. Compared with the existing division result, the division result by using the proposed method is more excellent, and is accord with the actual situation in Shandong Province.

     

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