[1] Chen Jing, Zhang Yong, Liu Lei,. Vulnerability analysis of multimodal transport networksbased on complex network theory [J]. Journal of Southeast University (English Edition), 2021, 37 (2): 209-215. [doi:10.3969/j.issn.1003-7985.2021.02.011]

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Vulnerability analysis of multimodal transport networksbased on complex network theory()

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

Volumn:

37

Issue:

2021 2

Page:

209-215

Research Field:

Traffic and Transportation Engineering

Publishing date:

2021-06-20

Info

Title:

Vulnerability analysis of multimodal transport networksbased on complex network theory

Author(s):

Chen Jing;  Zhang Yong;  Liu Lei

School of Transportation, Southeast University, Nanjing 211189, China

Keywords:

multimodal transport;  topology structure;  vulnerability;  complex network

PACS:

U15

DOI:

10.3969/j.issn.1003-7985.2021.02.011

Abstract:

To explore the structural characteristics and vulnerability of multimodal transport networks, this study identifies the structural characteristics of a multimodal transport network on the basis of the complex network theory. Key nodes are clarified from the analysis of the structural characteristics. The characteristic path length and percentage of the largest subgraph are applied to analyze the vulnerability of the multimodal transport network after random and intentional attacks on the nodes. The network of a multimodal transport company is taken as an example in the empirical analysis. Results show that with more than ten nodes under a random attack, the percentage of the largest subgraph is less than 20%, and the characteristic path length is less than 2. The same performance is observed for more than seven nodes under an intentional attack. The multimodal transport network is more vulnerable under an international attack against key nodes. The results of the topology and node failure under random or intentional attacks would support the management of the multimodal transport network. Suggestions for the emergency transportation organization of enterprises under attacks are proposed accordingly. These suggestions should help improve network invulnerability and recovery from node failure.

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Memo

Memo:

Biographies: Chen Jing(1990—), female, Ph.D. candidate; Zhang Yong(corresponding author), male, doctor, professor, zhangyong@seu.edu.cn.
Foundation item: The Science and Technology Demonstration Project of Multimodal Freight Transport in Jiangsu Province(No.2018Y02).
Citation: Chen Jing, Zhang Yong, Liu Lei. Vulnerability analysis of multimodal transport networks based on complex network theory[J].Journal of Southeast University(English Edition), 2021, 37(2):209-215.DOI:10.3969/j.issn.1003-7985.2021.02.011.

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