Abstract
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.
Highlights
In recent years, the process of urbanization has had a leap-forward development in China, and numerous modes of transportation have emerged to meet the people’s growing demands for travelling, which has improved the urban quality of life and urban operational efficiency [1]
Compared with the SEs (SE3, SE2, and SE5) and SEs (SE1 and SE11), the Zero Hub Degree of SE (ZHDoSE) could be more important than the number of shared SEes (NSSE), which indicates that the number of transport modes makes a much greater contribution than the number of subway lines in Hub Super Network (HSN)
In this paper a research has been conducted on the urban transport hubs that have multimodal travel means, and the HSN framework is proposed based on Super Network Theory (SNT)
Summary
The process of urbanization has had a leap-forward development in China, and numerous modes of transportation have emerged to meet the people’s growing demands for travelling, which has improved the urban quality of life and urban operational efficiency [1]. Multimodal traveling makes people converge at multimodal transfer points, which brings pressure to the transfer hubs in a city. Frequent occurrence of incidents has directly affected people’s travels and commutes, even the economic development. Scholars [2,3,4,5,6] have carried out the analyses of topological features that have great impacts on the characteristics of a network. Good understanding of the topological features of a network could guide hubs management operations and take preventive measures effectively.
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