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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Watts, D.J., Strogatz, S.H.: Collective dynamics of “small-world” networks. Nature 393, 440–442 (1998)
Barabasi, A.L., Albert, R.: Emergence of Scaling in Random Networks. Science 286, 509–512 (1999)
Albert, R., Barabasi, A.L.: Statistical mechanics of complex networks. Reviews of Modern Physics 74, 47–97 (2002)
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)
Kurant, M., Thiran, P.: Extraction and analysis of traffic and topologies of transportation networks. Physical Review E 74, 36114 (2006)
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)
Sienkiewicz, J., Holyst, J.A.: Statistical analysis of 22 public transport networks in Poland. Physical Review E 72(4), 46127 (2005)
Kalapala, V., Sanwalani, V., Clauset, A., et al.: Scale invariance in road networks. Physical Review E 73, 26130 (2006)
Zheng, J.F., Gao, Z.Y.: A weighted network evolution with traffic flow. Physica A: Statistical Mechanics and its Applications 387, 6177–6182 (2008)
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)
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)
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)
Nanjing passenger transport management office, http://www.njkgc.cn
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
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
Download citation
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)