Connectivity Contribution to Urban Hub Network Based on Super Network Theory – Case Study of Beijing

  • Guang Yuan Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China
  • Dewen Kong Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China
  • Lishan Sun Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China
  • Wei Luo Beijing University of Civil Engineering and Architecture, Beijing, China
  • Yan Xu Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China
Keywords: super network, super-edge, transportation hub, connectivity


With the rapid development of urbanization in China, the number of travel modes and urban passenger transportation hubs has been increasing, gradually forming multi-level and multi-attribute transport hub networks in the cities. At the same time, Super Network Theory (SNT) has advantages in displaying the multi-layer transport hubs. The aim of this paper is to provide a new perspective to study connectivity contribution of potential hubs. Urban transport hubs are ranked through topological features based on Hub Super Network (HSN). This paper proposes two indexes based on Super-Edge (SE), Zero Hub Degree of SE (ZHDoSE) and a number of shared SEes (NSSE), respectively. Then, a case study was conducted in Beijing, which considers four combinations to study the influence of transport modes and subway lines on connectivity. The results show that no-normalization strengthens the contribution of transport modes and subway lines on connectivity. Besides, the transport mode contributes a lot to the connectivity. However, elements normalization strengthens the subway lines under ZHDoSE reciprocal. In addition, various weights of ZHDoSE and NSSE have different influences on the recognition results of SEes in HSN.



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How to Cite
Yuan G, Kong D, Sun L, Luo W, Xu Y. Connectivity Contribution to Urban Hub Network Based on Super Network Theory – Case Study of Beijing. Promet - Traffic&Transportation. 2021;33(1):35-7. DOI: 10.7307/ptt.v33i1.3536