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Research on Reliability of Qingdao Rail Transit Network

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2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021) (ICITE 2021)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 901))

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Abstract

In order to increase the adaptability of urban rail transit to emergencies, the reliability of rail transit network is discussed based on complex system theory. Taking the rail transit network planning map of Qingdao in 2020 as an example, the L-space method is used to systematically analyze the network characteristic parameters, analyze the reliability of the network from the relative size of the largest connected subgraph, the global efficiency of the network and the local efficiency of the network, and analyze the changes of these indicators when the network is intentionally attacked. The results show that the intentional attack causes great damage to the reliability of Qingdao rail transit network, and the degree value of the station is not absolutely proportional to its importance. In the planning, construction and operation of rail transit, the management and protection of key stations should be strengthened.

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References

  1. Watts, D., Strogatz, S.: Collective dynamics of ‘small-world’ networks (see comments). Nature 393(6684), 440–442 (1998)

    Google Scholar 

  2. Barabasi, A.L., Albert, R.: Emergence of scaling in random networks. Science 286(5439), 509–512 (1999)

    Google Scholar 

  3. Latora, V., Marchiori, M.: Is the Boston subway a small-world network ? Phys. A: Stat. Mech. Appl. 314(1–4), 109–113 (2002)

    Article  MATH  Google Scholar 

  4. Sen, P., Dasgupta, S., Chatterjee, A.: Small-world properties of the Indian Railway network. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 67(3):036106 (2002)

    Google Scholar 

  5. Qing, Y.: Vulnerability analysis of rail transit network based on complex network theory. China Saf. Sci. J. (22), 122 (2012)

    Google Scholar 

  6. Yuhao, W., Yongneng, X., Renfei, W.: Reliability analysis of urban rail transit network. Sci. Technol. Innov. 12, 37–39 (2018)

    Google Scholar 

  7. Jibin, H., Miao, Z., Jinli, G.: Reliability analysis of urban rail transit network. Urban Transp. China 13(5), 80–84+42 (2015)

    Google Scholar 

  8. Lincheng, J.: Research on Node and Edge Importance Measurement and Multi-source Information Transmission in Complex Networks. National University of Defense Technology (2018)

    Google Scholar 

  9. Wenhong, L., Guojuan, W., Pengfei, W.: Research progress of transportation network reliability based on complex network. Sci. Technol. Eng. 19(24), 26–33 (2019)

    Google Scholar 

  10. Jibin, H., Jinli, G., Xinbo, Z.: Study on reliability of Shanghai rail transit network. China Saf. Sci. J. 22(12), 103–108 (2012)

    Google Scholar 

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Correspondence to Shouyan Fu .

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Fu, S. (2022). Research on Reliability of Qingdao Rail Transit Network. In: Zhang, Z. (eds) 2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021). ICITE 2021. Lecture Notes in Electrical Engineering, vol 901. Springer, Singapore. https://doi.org/10.1007/978-981-19-2259-6_87

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