Structural Characteristics and Reliability Analysis of Multilayer Transportation Network

This paper examines the structural and reliability aspects of multilayer transportation networks. Using Space L, we construct these networks and develop a topology index system including node overlap degree, node activity degree, average path length, network diameter, clustering coefficient, betweenness, betweenness centrality, multilayer participation coefficient, edge overlap coefficient, and edge crossing coefficient. We evaluate reliability by analyzing node and edge failures. A case study demonstrates our method effectively captures node/edge heterogeneity and topological features in integrated transportation systems. Results show the metro-urban bus multilayer network exhibits small-world and scale-free properties. Nodes with high overlap/activity degree, betweenness, or participation coefficient significantly impact the network. Paths with larger edge overlap coefficients offer redundancy, faster recovery, and higher reliability post-failure. Networks with greater edge crossing coefficients exhibit enhanced redundancy and risk resistance.

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Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2025-05-05
DOI
https://doi.org/10.1109/tits.2025.3559874
Citations
2
Primary Topic
Industrial Technology and Control Systems
Type
article
Field-Weighted Citation Impact
2.43

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article

Structural Characteristics and Reliability Analysis of Multilayer Transportation Network

Zhou Jing, Bin Shuai, Yue Zhang, Wencheng Huang
2 citations
IEEE Transactions on Intelligent Transportation Systems
Industrial Technology and Control Systems
2.43
article

Structural Characteristics and Reliability Analysis of Multilayer Transportation Network

Zhou Jing, Bin Shuai, Yue Zhang, Wencheng Huang
article en
2 citations

Abstract

This paper examines the structural and reliability aspects of multilayer transportation networks. Using Space L, we construct these networks and develop a topology index system including node overlap degree, node activity degree, average path length, network diameter, clustering coefficient, betweenness, betweenness centrality, multilayer participation coefficient, edge overlap coefficient, and edge crossing coefficient. We evaluate reliability by analyzing node and edge failures. A case study demonstrates our method effectively captures node/edge heterogeneity and topological features in integrated transportation systems. Results show the metro-urban bus multilayer network exhibits small-world and scale-free properties. Nodes with high overlap/activity degree, betweenness, or participation coefficient significantly impact the network. Paths with larger edge overlap coefficients offer redundancy, faster recovery, and higher reliability post-failure. Networks with greater edge crossing coefficients exhibit enhanced redundancy and risk resistance.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(6)
Southwest Jiaotong University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Sichuan Province
Openalex Percentile: Top 12%
Industrial Technology and Control Systems
2.43
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Structural Characteristics and Reliability Analysis of Multilayer Transportation Network — Zhou Jing, Bin Shuai, et al. · IEEE Transactions on Intelligent Transportation Systems (2025) | TGRS Research Map | TGRS