| Peer-Reviewed

Vulnerability and Impact of China-Europe Train Network Under the Background of Main Channel Interruption

Received: 16 May 2022     Published: 19 May 2022
Views:       Downloads:
Abstract

In order to study the impact on the China-Europe freight trains when the three main passages including Alashankou Port (Khorgos), Manzhouli, and Erenhot were attacked, Count the running routes of the China-Europe trains, make the running routes into an adjacency matrix, and calculate the changes of the network average degree, isolated node ratio, network efficiency, and network average distance of the China-Europe trains under the background of the interruption of the three main channels to analyze the changes of the China-Europe trains. The impact of train operation, The research shows that the container network of the China-Europe freight train is very sensitive to the connectivity of the three main channels, and the Alashankou Port (Khorgos) has the greatest impact. Next is Manzhouli, and again is Erenhot. When the three main channels are attacked, the average degree and network efficiency of the network drop significantly. In order to ensure the normal operation of the China-Europe freight train, the alternative routes are discussed, the perspective of ensuring safety is discussed, and corresponding safeguarding countermeasures are put forward. When the Alashankou port is blocked, trains departing from Alashan (Khorgos) in Xinjiang can take a detour from Erenhot. When Erenhot is blocked, trains departing from the Erenhot port in Inner Mongolia can take a detour from Manchuria. When Manzhouli is blocked, trains departing from Manzhouli, Inner Mongolia, can take a detour from Erenhot.

Published in Science Journal of Business and Management (Volume 10, Issue 2)
DOI 10.11648/j.sjbm.20221002.15
Page(s) 94-98
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

China-Europe Railway, Vulnerability, Network, Eigenvalue Analysis

References
[1] Tian Yaping, Chang Hao. Bibliometric analysis of research progress on ecological vulnerability in China. Acta Geographica Sinica, 2012, 67 (11): 1515-1525.
[2] Zhao Dongsheng, Wu Shaohong. Responses of vulnerability for natural ecosystem to climate change in China. ActaGeographica Sinica, 2013, 68 (5): 602-610.
[3] Yuan Quanzhi, Wu Shaohong, Dai Erfu, et al. NPP vulnerability of China's potential vegetation to climate change in thepast 50 years. Acta Geographica Sinica, 2016, 71 (5): 797-806.
[4] Liu Yi, Huang Jianyi, Ma Li. The assessment of regional vulnerability to natural disasters in China based on DEA model. Geographical Research, 2010, 29 (7): 1153-1162.
[5] Li Zequan, Zhang Ruixin, Yang Zhao, et al. Influence complex network centrality on disaster spreading. Acta Physica Sinica, 2012, 61 (23): 1-7.
[6] WU Di. Vulnerability and risk management in the maritime silk road container shipping network [D]. Dalian: Dalian Maritime University, 2018.
[7] WU Di, WANG NUO, WU Nuan, LIN Wanni. The impact of main channel interruption on Vulnerability of container shipping network and china container shipping [J]. Ceographical Research, 2017, 36 (4): 719-730.
[8] WANG Nuo, DONG Lingling, WU Nuan, YAN Huakun. The change of global container shipping network vulnerability under intentional attack [J]. Acta Geographica Sinica. 2016, 71 (2): 293-303.
[9] DUAN Jiarong, ZHENG Hongda. Vulnerability analysis method for complex networks based on node importance [J]. Control Engineering of China, 2020, 27 (4): 692-696.
[10] WU Di, WANG Nuo, YU Anqi, GUAN Lei. Vulnerability and risk management in the maritime silk road container shipping network [J]. Acta Geographica Sinica. 2018, 73 (6): 1133-1148.
[11] WU Shan, HAN Xiaolong, LIU Chanjuan, et al. Vulnerability analysis of global container shipping network on complex network. Computer Engineering and Applications, 2018, 54 (15): 249-254.
[12] FANG Xing-ming, LU Yu-xiu, WEI Jing. The impact of china railway on the openness of china urban trade: based on the perspective of the belt and road construction [J]. International Economics and Trade Research, 2020, 36 (02): 39-55.
[13] LIU Xiaoyu, YANG Bing, HUANG Zhengdong. Evolution and optimization of logistic network structure driven by china railway express [J]. Railway transport and Economy, 2021, 43 (4): 54-60.
[14] ZHANG Xin, SUN Daiyuan. Vulnerability Analysis of Global Container Shipping Network Based on Complex Network [J]. Journal of Chongqing Jiaotong University, 2022, 41 (02): 1-7.
[15] ZHU Yueyue, LI Xiaojuan, LI Lulu. Research on vulnerability risk assessment of subway network [J]. Journal of Harbin University of Comerce, 2021, 37 (4): 450-455.
[16] MU Nengye, KANG Qiuping, JIA Chengfang. Vulnerability assessment of urban express networks under influence of emergencies [J]. China Safety Science Journal, 2020, 30 (12): 125-132.
Cite This Article
  • APA Style

    Nana Wang, He Yu, Jiaqi Pan. (2022). Vulnerability and Impact of China-Europe Train Network Under the Background of Main Channel Interruption. Science Journal of Business and Management, 10(2), 94-98. https://doi.org/10.11648/j.sjbm.20221002.15

    Copy | Download

    ACS Style

    Nana Wang; He Yu; Jiaqi Pan. Vulnerability and Impact of China-Europe Train Network Under the Background of Main Channel Interruption. Sci. J. Bus. Manag. 2022, 10(2), 94-98. doi: 10.11648/j.sjbm.20221002.15

    Copy | Download

    AMA Style

    Nana Wang, He Yu, Jiaqi Pan. Vulnerability and Impact of China-Europe Train Network Under the Background of Main Channel Interruption. Sci J Bus Manag. 2022;10(2):94-98. doi: 10.11648/j.sjbm.20221002.15

    Copy | Download

  • @article{10.11648/j.sjbm.20221002.15,
      author = {Nana Wang and He Yu and Jiaqi Pan},
      title = {Vulnerability and Impact of China-Europe Train Network Under the Background of Main Channel Interruption},
      journal = {Science Journal of Business and Management},
      volume = {10},
      number = {2},
      pages = {94-98},
      doi = {10.11648/j.sjbm.20221002.15},
      url = {https://doi.org/10.11648/j.sjbm.20221002.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjbm.20221002.15},
      abstract = {In order to study the impact on the China-Europe freight trains when the three main passages including Alashankou Port (Khorgos), Manzhouli, and Erenhot were attacked, Count the running routes of the China-Europe trains, make the running routes into an adjacency matrix, and calculate the changes of the network average degree, isolated node ratio, network efficiency, and network average distance of the China-Europe trains under the background of the interruption of the three main channels to analyze the changes of the China-Europe trains. The impact of train operation, The research shows that the container network of the China-Europe freight train is very sensitive to the connectivity of the three main channels, and the Alashankou Port (Khorgos) has the greatest impact. Next is Manzhouli, and again is Erenhot. When the three main channels are attacked, the average degree and network efficiency of the network drop significantly. In order to ensure the normal operation of the China-Europe freight train, the alternative routes are discussed, the perspective of ensuring safety is discussed, and corresponding safeguarding countermeasures are put forward. When the Alashankou port is blocked, trains departing from Alashan (Khorgos) in Xinjiang can take a detour from Erenhot. When Erenhot is blocked, trains departing from the Erenhot port in Inner Mongolia can take a detour from Manchuria. When Manzhouli is blocked, trains departing from Manzhouli, Inner Mongolia, can take a detour from Erenhot.},
     year = {2022}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Vulnerability and Impact of China-Europe Train Network Under the Background of Main Channel Interruption
    AU  - Nana Wang
    AU  - He Yu
    AU  - Jiaqi Pan
    Y1  - 2022/05/19
    PY  - 2022
    N1  - https://doi.org/10.11648/j.sjbm.20221002.15
    DO  - 10.11648/j.sjbm.20221002.15
    T2  - Science Journal of Business and Management
    JF  - Science Journal of Business and Management
    JO  - Science Journal of Business and Management
    SP  - 94
    EP  - 98
    PB  - Science Publishing Group
    SN  - 2331-0634
    UR  - https://doi.org/10.11648/j.sjbm.20221002.15
    AB  - In order to study the impact on the China-Europe freight trains when the three main passages including Alashankou Port (Khorgos), Manzhouli, and Erenhot were attacked, Count the running routes of the China-Europe trains, make the running routes into an adjacency matrix, and calculate the changes of the network average degree, isolated node ratio, network efficiency, and network average distance of the China-Europe trains under the background of the interruption of the three main channels to analyze the changes of the China-Europe trains. The impact of train operation, The research shows that the container network of the China-Europe freight train is very sensitive to the connectivity of the three main channels, and the Alashankou Port (Khorgos) has the greatest impact. Next is Manzhouli, and again is Erenhot. When the three main channels are attacked, the average degree and network efficiency of the network drop significantly. In order to ensure the normal operation of the China-Europe freight train, the alternative routes are discussed, the perspective of ensuring safety is discussed, and corresponding safeguarding countermeasures are put forward. When the Alashankou port is blocked, trains departing from Alashan (Khorgos) in Xinjiang can take a detour from Erenhot. When Erenhot is blocked, trains departing from the Erenhot port in Inner Mongolia can take a detour from Manchuria. When Manzhouli is blocked, trains departing from Manzhouli, Inner Mongolia, can take a detour from Erenhot.
    VL  - 10
    IS  - 2
    ER  - 

    Copy | Download

Author Information
  • School of Liberal Education, Liaoning University of International Business and Economics, Dalian, China

  • School of Liberal Education, Liaoning University of International Business and Economics, Dalian, China

  • School of Liberal Education, Liaoning University of International Business and Economics, Dalian, China

  • Sections