Abstract
With the development of the high-speed railway, the topology of the railway network is becoming more and more complicated. The railway network characteristic analysis is the base of optimization of the railway network topology and the operation plan of service. So it is essential to study the characteristic of the high-speed railway network to support the construction planning of the railway and the operation decision making. This paper first lists the key indexes of a high-speed railway network – node degree, clustering coefficient, degree centrality, betweenness, closeness centrality, coreness and network efficiency. And we analyze the significance of the indexes for the network. Then we select two representative high-speed railway networks of China and calculate the indexes of the selected railway work. Analysis is carried out to find the characteristics of the networks, pointing out the key stations and the weak spots of the two railway networks respectively. Then we compared the two high-speed railway network, analyzing the merits and the shortage of them. The conclusion of this work can serve as an important useful resource for the railway constructor and the operator.
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Acknowledgments
This work is supported by the National Natural Science Foundation of China (Grant No. 71861022), the Young Teachers Program of Lanzhou Jiaotong University (Grant: 2019039), the Educational Reform Project (Grant: JGY201961) of Lanzhou Jiaotong University, “Double-First Class” Major Research Programs, Educational Department of Gansu Province (No. GSSYLXM-04), the Foundation of A Hundred Young Talents Training Program of Lanzhou Jiaotong University (Grant No. 1520220210), and Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province. The authors wish to thank anonymous referees and the editor for their comments and suggestions.
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Meng, X., Wang, Y., Li, L., Xiang, W. (2022). Comprehensive Analysis of High-Speed Railway Network Based on Complex Network Theory. In: Qin, Y., Jia, L., Liang, J., Liu, Z., Diao, L., An, M. (eds) Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021. EITRT 2021. Lecture Notes in Electrical Engineering, vol 868. Springer, Singapore. https://doi.org/10.1007/978-981-16-9913-9_67
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DOI: https://doi.org/10.1007/978-981-16-9913-9_67
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