Cascading Failures on Multimodal Public Transportation Networks: The Role of Station Coupling Strength

While many studies explore cascading failures on single transit network, most of them fail to interpret the spread of failures between multimodal public transportation systems. Relevant research tends to measure station coupling strength under normal conditions, but this strength would change due to the variations of network topology, transportation, and travel characteristics under cascading failures. To address the above issues, this study proposes a multimodal coupled map lattice model addressing station coupling strength during failures. This model aims to explore the spread of failures across coupled multimodal transit networks, identifying the paths and intensity of cascading failures between different public transport modes. It also examines the impacts of station coupling asymmetry, resulting from transportation efficiency and operation modes of different transit systems on cascading failures. The proposed model is then applied to the metro-bus coupled networks of Shenzhen, China. The results indicate that cascading failures on metro network would be alleviated when coupled with bus network. However, cascading failures are magnified on bus network when coupled with metro network. On the metro-bus coupled networks, failures of stations/stops with higher station coupling strength would cause more serious cascading failures than those of failures of important stations or stops on single network. In addition, the spread speed of cascading failures on metro-bus coupled networks depends largely on the number of failed metro stations. Findings of this work would offer valuable insights for the planning of robust metro-bus coupled systems and efficient emergency responses to avoid large-scale network failures.

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Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2024-09-05
DOI
https://doi.org/10.1109/tits.2024.3450019
Citations
12
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
4.19

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article

Cascading Failures on Multimodal Public Transportation Networks: The Role of Station Coupling Strength

Shixin Wang, Qing-Chang Lu, Chi Xie, Jing Li et al.
12 citations
IEEE Transactions on Intelligent Transportation Systems
Software System Performance and Reliability
4.19
article

Cascading Failures on Multimodal Public Transportation Networks: The Role of Station Coupling Strength

Shixin Wang, Qing-Chang Lu, Chi Xie, Jing Li, Peng-Cheng Xu
article en
12 citations

Abstract

While many studies explore cascading failures on single transit network, most of them fail to interpret the spread of failures between multimodal public transportation systems. Relevant research tends to measure station coupling strength under normal conditions, but this strength would change due to the variations of network topology, transportation, and travel characteristics under cascading failures. To address the above issues, this study proposes a multimodal coupled map lattice model addressing station coupling strength during failures. This model aims to explore the spread of failures across coupled multimodal transit networks, identifying the paths and intensity of cascading failures between different public transport modes. It also examines the impacts of station coupling asymmetry, resulting from transportation efficiency and operation modes of different transit systems on cascading failures. The proposed model is then applied to the metro-bus coupled networks of Shenzhen, China. The results indicate that cascading failures on metro network would be alleviated when coupled with bus network. However, cascading failures are magnified on bus network when coupled with metro network. On the metro-bus coupled networks, failures of stations/stops with higher station coupling strength would cause more serious cascading failures than those of failures of important stations or stops on single network. In addition, the spread speed of cascading failures on metro-bus coupled networks depends largely on the number of failed metro stations. Findings of this work would offer valuable insights for the planning of robust metro-bus coupled systems and efficient emergency responses to avoid large-scale network failures.

IEEE Transactions on Intelligent Transportation SystemsVol. 25(11)
Tongji University (CN), Chang'an University (CN)
National Natural Science Foundation of China, Huo Yingdong Education Foundation
Sustainable cities and communities
Openalex Percentile: Top 5%
Software System Performance and Reliability
4.19
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