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Academic Journal of Engineering and Technology Science, 2019, 2(1); doi: 10.25236/AJETS.020024.

Research on Topological Characteristics of Suzhou Subway Based on Complex Network Theory

Author(s)

Haicheng Tian

Corresponding Author:
Haicheng Tian
Affiliation(s)

Transport Engineeringr, Shanghai Maritime University, Shanghai, 200000, China
18817553058@163.com

Abstract

With the expansion of the city scale, the passenger traffic of urban rail transit is increasing, and more and more rail transit stations and lines are overloaded, which puts higher requirements on the safety and reliability of urban rail transit networks. In order to analyze the topological nature of the complex network of the subway, this paper takes Suzhou City as an example, selects 93 subway stations from the three metro lines in Suzhou as of the present sample as sample data, uses complex network theory to conduct research, and builds a neighboring site based. Undirected unweighted network model. The study found that the average traffic network of Suzhou Metro is 2, the clustering coefficient is 0, and the average shortest path is 13. Through the analysis of the Suzhou Metro transportation network, it may be instructive for the future construction of the Suzhou Metro network.

Keywords

Suzhou subway, complex network, topology characteristics

Cite This Paper

Haicheng Tian, Research on Topological Characteristics of Suzhou Subway Based on Complex Network Theory. Academic Journal of Engineering and Technology Science (2019) Vol. 2: 127-136. https://doi.org/10.25236/AJETS.020024.

References

[1] Erdos E Renyi A. On the evolution of random graphs [J]. Publ. Math. Inst. Hung. Acad.Sci. 1960, (5): 17-60.
[2] Vito Latora, Massimo Marchiori. Efficient Behavior of Small-World Networks [J]. Phys. Rev. Lett, 2001, 87: 198701.
[3] Newman M E J, Strogatz S H,Random graphs with arbitrary degree distributions and their applications [J]. Physical Review E, 2001, 64; 026118.
[4] Barabasi A L, Albert R Emergence of scaling in random networks [J]. Science, 1999, 286 (10): 509-512.
[5] Watts D J, Strogatz S H.Collective dynamics of small-world’networks [J]. 1998, 393: 440-442.
[6] Xiaofan Wang, Xiang Li, Guanrong Chen. Complex network theory and its application [M]. Beijing Tsinghua University Press, 2006.
[7] Tiao Wang, Zhigeng Fang, Hui Wu, Analysis of the complexity of urban subway logistics [J]. Military Transportation College, 2008, 10 (2): 24~28.
[8] Yan Wang, Chao Yang, Research on complex network characteristics of shanghai rail transit network [J] Urban rail transit research, 2009, 2: 24~28.
[9] Yunqing Wang, Research on connectivity reliability of urban rail transit network based on complex network theory.Beijing: Beijing Jiaotong University, 2008.
[10]Zhiqiang Wang, Huarui Xun, Simulation analysis of reliability of rail transit network based on complex network [J]. Journal of ystem Simulation, 2009, 21 (20): 6670~6674.
[11]Wei Liu, Study on the influence of rail tansit network on urban traffic network based on complex network theory [D]. Harbin; Harbin Institute of Technology, 2009.