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Vulnerability Analysis of China's Railway Express Freight Transportation as a Complex Network Problem

Published: 22 October 2019 Publication History

Abstract

Railway transportation is the key part of China's modern transportation system, but the failures of some stations or lines may affect the efficiency of railway transportation. Analyzing the topological characteristics and vulnerability of China's Railway Express Freight Transportation Network (CREFTN) is important for optimizing the network structure and ensuring the stability of operation. The complex network model of CREFTN (CN-CREFTN) is constructed in L-space, then the scale-free and small-world characteristics are analyzed. The vulnerability under the largest-degree attack and the largest-betweenness attack is quantitatively calculated to identify the key stations. The results show that CREFTN has typical small-world and scale-free characteristics at present. The largest-degree attack makes the CREFTN more vulnerable than the largest-betweenness attack. When the proportion of the failed stations with higher degree reaches 18%, the network efficiency decreases by 80%. Therefore, the stations with high degree need to be protected intensively in operation.

References

[1]
F Xu, J F Zhu, W D Yang (2013). The complex networks' applications in transportation networks: a survey. Complex systems and complexity science, (1):18--25.
[2]
P Sen, S Dasgupta, A Chatterjee, et al. (2003). Small-world properties of the Indian railway network. Physical Review E, 67(3):036106.
[3]
M Kurant, P Thiran (2006). Extraction and analysis of traffic and topologies of transportation networks. Physical Review E, 74(3):036114.
[4]
W Zhao, H S He, Z C Lin, et al. (2006). The study of properties of Chinese railway passenger transport network. Acta Physica Sinica, 55(8):3906--3911.
[5]
W Li, X Cai (2007). Empirical analysis of a scale-free railway network in China. Physica A: Statistical Mechanics and its Applications, 382(2):693--703.
[6]
W Wang, J Liu, X Jiang, et al. (2010). Topology Properties on Chinese Railway Network. Journal of Beijing Jiaotong University, 34(3):148--152.
[7]
F R Tang, X Q Yang, G Tang, et al. (2010). Study of the topology of Chinese rail network and its passenger flow. Journal of China University of Mining & Technology, 39(6):935--940.
[8]
Y Bao, J Liu, T Li (2012). Properties of Chinese railway passenger train service network. Journal of the China Railway Society, 34(12):8--15.
[9]
T G Crainic (2000). Service network design in freight transportation. European Journal of Operational Research, 122(2):272--288.
[10]
C Barnhart, N Krishnan, D Kim, et al. (2002). Network design for express shipment delivery. Computational Optimization & Applications, 21(3):239--262.
[11]
Y X Wu (2010). Study on multimodal freight transportation service network topology for express shipment based on complex network theory. Beijing Jiaotong University.
[12]
B Yu, C Feng, Q Zhu, et al. (2017). Vulnerability analysis of China's high speed railway network. China Safety Science Journal, 27(9):110--115.
[13]
L D F Costa, F A Rodrigues, G Travieso, et al. (2007). Characterization of complex networks: A survey of measurements. Advances in Physics, 56(1):167--242.

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CSAE '19: Proceedings of the 3rd International Conference on Computer Science and Application Engineering
October 2019
942 pages
ISBN:9781450362948
DOI:10.1145/3331453
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 October 2019

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Author Tags

  1. China's Railway Express Freight Transportation
  2. Complex Network
  3. Network Efficiency
  4. Vulnerability

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  • Research-article
  • Research
  • Refereed limited

Funding Sources

  • the National Natural Science Foundation of China Youth Fund Project
  • the Fundamental Research Funds for the Central Universities
  • Fundamental Research Funds for the Central Universities

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CSAE 2019

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Overall Acceptance Rate 368 of 770 submissions, 48%

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