[1] Guo Jingni, Xu Junxiang, He Zhenggang, Liao Wei, et al. Linking strategies to optimize the robustnessof multimodal transport network [J]. Journal of Southeast University (English Edition), 2020, 36 (3): 349-356. [doi:10.3969/j.issn.1003-7985.2020.03.014]

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Linking strategies to optimize the robustnessof multimodal transport network()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

36

Issue:

2020 03

Page:

349-356

Research Field:

Traffic and Transportation Engineering

Publishing date:

2020-09-20

Info

Title:

Linking strategies to optimize the robustnessof multimodal transport network

Author(s):

Guo Jingni¹;  Xu Junxiang¹;  He Zhenggang¹;  Liao Wei²

¹School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China
²School of Logistics, Chengdu University of Information Technology, Chengdu 610225, China

Keywords:

linking strategy;  multimodal transport network;  robustness;  cascading failure;  optimization

PACS:

U491

DOI:

10.3969/j.issn.1003-7985.2020.03.014

Abstract:

In view of the problem that the multimodal transport network is vulnerable to attack and faces the risk of cascading failure, three low polarization linking strategies considering the characteristics of the multimodal transport network are proposed to optimize network robustness. They are the low polarization linking strategy based on the degree of nodes(D_LPLS), low polarization linking strategy based on the betweenness of nodes(B_LPLS), and low polarization linking strategy based on the closeness of nodes(C_LPLS). The multimodal transport network in the Sichuan-Tibet region is analyzed, and the optimization effects of these three strategies are compared with the random linking strategy under random attacks and intentional attacks. The results show that C_LPLS can effectively optimize the robustness of the network. Under random attacks, the advantages of C_LPLS are obvious when the ratio of increased links is less than 15%, but it has fewer advantages compared with B_LPLS when the ratio of increased links is 15% to 30%. Under intentional attacks, as the ratio of increased links goes up, the advantages of C_LPLS become more obvious. Therefore, the increase of links by C_LPLS is conducive to the risk control of the network, which can provide theoretical support for the optimization of future multimodal transport network structures.

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Memo

Memo:

Biographies: Guo Jingni(1994—), female, Ph.D. candidate; Liao Wei(corresponding author), female, doctor, associate professor, 2143573349@qq.com.
Foundation item: The National Key Research and Development Program of China(No.2018YFB1601400).
Citation: Guo Jingni, Xu Junxiang, He Zhenggang, et al. Linking strategies to optimize the robustness of multimodal transport network[J].Journal of Southeast University(English Edition), 2020, 36(3):349-356.DOI:10.3969/j.issn.1003-7985.2020.03.014.

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