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Performance Analysis of Public Transport Systems in Nanjing Based on Network Topology

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Abstract

The urban public transport network (UPTN) in Nanjing is characterized by a complex network with topological pedestals. The empirical data indicates that it is a small-world network. Under malicious attack to the high connectivity nodes of the network, the average path-length will increase 2.5 times, the reliability and traffic capacity of the UPTN will greatly decline, and the travel expenditure will distinctively increase. The topological significance of stations and routes are redefined to help assess the small-world property of UPTNs, so as to improve city transportation. It is also found that if the urban rail transit, such as metro, is introduced to the UPTN, then the topological diameter of the network is reduced, and its structure is optimized.

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References

  1. Watts, D.J., Strogatz, S.H.: Collective dynamics of “small-world” networks. Nature 393, 440–442 (1998)

    Article  Google Scholar 

  2. Barabasi, A.L., Albert, R.: Emergence of Scaling in Random Networks. Science 286, 509–512 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  3. Albert, R., Barabasi, A.L.: Statistical mechanics of complex networks. Reviews of Modern Physics 74, 47–97 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  4. Guimera, R., Mossa, S., Turtschi, A., et al.: The worldwide air transportation network: Anomalous centrality, community structure, and cities’ global roles. Proceedings of the National Academy of Sciences 102, 7794–7799 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  5. Kurant, M., Thiran, P.: Extraction and analysis of traffic and topologies of transportation networks. Physical Review E 74, 36114 (2006)

    Article  Google Scholar 

  6. Lee, K., Jung, W.S., Park, J.S., et al.: Statistical analysis of the Metropolitan Seoul Subway System: Network structure and passenger flows. Physica A: Statistical Mechanics and its Applications 387, 6231–6234 (2008)

    Article  Google Scholar 

  7. Sienkiewicz, J., Holyst, J.A.: Statistical analysis of 22 public transport networks in Poland. Physical Review E 72(4), 46127 (2005)

    Article  Google Scholar 

  8. Kalapala, V., Sanwalani, V., Clauset, A., et al.: Scale invariance in road networks. Physical Review E 73, 26130 (2006)

    Article  Google Scholar 

  9. Zheng, J.F., Gao, Z.Y.: A weighted network evolution with traffic flow. Physica A: Statistical Mechanics and its Applications 387, 6177–6182 (2008)

    Article  Google Scholar 

  10. Wu, J.J., Gao, Z.Y., Sun, H.J., Huang, H.J.: Urban transit as a scale-free network. Mod. Phys. Lett. B 18, 1043 (2004a)

    Article  Google Scholar 

  11. Xu, X., Hu, J., Liu, F., et al.: Scaling and correlations in three bus-transport networks of China. Physica A: Statistical Mechanics and its Applications 374, 441–448 (2007)

    Article  Google Scholar 

  12. Von, F.C., Holovatch, T., Holovatch, Y., et al.: Network harness: Metropolis public transport. Physica A: Statistical Mechanics and its Applications 380, 585–591 (2007)

    Article  Google Scholar 

  13. Nanjing passenger transport management office, http://www.njkgc.cn

  14. Chen, Y.Z., Li, N.: The randomly organized structure of urban ground bus-transport networks in China. Physica A: Statistical Mechanics and its Applications 386, 388–396 (2007)

    Article  Google Scholar 

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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Li, P., Zhu, ZT., Zhou, J., Ding, JY., Wang, HW., Wei, SS. (2009). Performance Analysis of Public Transport Systems in Nanjing Based on Network Topology. In: Zhou, J. (eds) Complex Sciences. Complex 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02466-5_24

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  • DOI: https://doi.org/10.1007/978-3-642-02466-5_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02465-8

  • Online ISBN: 978-3-642-02466-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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