IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v638y2024ics0378437124000840.html
   My bibliography  Save this article

Exploring cascading failure processes of interdependent multi-modal public transit networks

Author

Listed:
  • Xu, Xiaohan
  • Huang, Ailing
  • Shalaby, Amer
  • Feng, Qian
  • Chen, Mingyang
  • Qi, Geqi

Abstract

Maintaining the reliable operation of multi-modal public transit networks (MPTNs) is of great significance in improving urban public transit systems. However, most of the studies on the dynamic robustness of PTNs focus on individual modes and cannot reveal the complexity caused by the coupling of different modes in MPTNs. In addition, there is still a gap in the research on the modeling of MPTNs and cascading reliability of MPTNs that fully take into account the third or fourth transit modes to meet more flexible and more variety of travel combination demand, such as taxis/car-hailing and public bicycles, especially the lack of weight measurement metrics for different transit modes. Therefore, the objective of this work is to explore the construction method of MPTNs and the coupling robustness under cascading failures affected by complex properties of MPTNs. Considering the behavior choice of different transit modes, firstly, we propose a modeling method of multilayer interdependent MPTN in the expanded L-space, in which the coupling relationship of multi modes are represented, which is composed of bus transit, rail transit, taxi/car-hailing and public bicycle. Then the metrics of topological complexity and the cascading failure model of MPTNs based on coupled map lattice (CML) model are designed. Taking Beijing as an example, in order to verify the feasibility and validity of the model, eight MPTNs covering different transit modes are established, and a comparative analysis of two network construction methods, i.e., the L-space method and the expanded L-space method, is conducted to verify the feasibility and validity of the model. Additionally, by deliberately attacking different stations, the dynamic vulnerability characteristics of the eight MPTNs subjected to cascading failures are explored. Finally, we estimate the embedding impacts of walking distance and cycling distance on the interdependent coupling MPTN by the sensitivity analysis. The results show that on the one hand, in L-space, MPTNs present scale-free network characteristics, while in expanded L-space, MPTNs are more inclined to random network; on the other hand, MPTNs in expanded L-space which remain reliable at low perturbations and instead become more vulnerable at high perturbations have higher critical thresholds for facing cascading failures. Our work is helpful to understand the essences of MPTNs’ structure and cascading reliability, and can provide guidance for the future’s planning protection of the large-scale MPTNs.

Suggested Citation

  • Xu, Xiaohan & Huang, Ailing & Shalaby, Amer & Feng, Qian & Chen, Mingyang & Qi, Geqi, 2024. "Exploring cascading failure processes of interdependent multi-modal public transit networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 638(C).
  • Handle: RePEc:eee:phsmap:v:638:y:2024:i:c:s0378437124000840
    DOI: 10.1016/j.physa.2024.129576
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437124000840
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2024.129576?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhao, Yanyan & Zhou, Jie & Zou, Yong & Guan, Shuguang & Gao, Yanli, 2022. "Characteristics of edge-based interdependent networks," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    2. Wang, Weiping & Yang, Saini & Hu, Fuyu & Stanley, H. Eugene & He, Shuai & Shi, Mimi, 2018. "An approach for cascading effects within critical infrastructure systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 164-177.
    3. Zheng, Kexian & Liu, Ying & Gong, Jie & Wang, Wei, 2022. "Robustness of circularly interdependent networks," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    4. Wu, Chunliang & Kim, Inhi, 2020. "Analyzing the structural properties of bike-sharing networks: Evidence from the United States, Canada, and China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 52-71.
    5. Ailing Huang & Jie Xiong & Jinsheng Shen & Wei Guan, 2016. "Evolution of weighted complex bus transit networks with flow," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 27(06), pages 1-17, June.
    6. Monfared, M.A.S. & Rezazadeh, Masoumeh & Alipour, Zohreh, 2022. "Road networks reliability estimations and optimizations: A Bi-directional bottom-up, top-down approach," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    7. Hong, Chen & Zhang, Jun & Cao, Xian-Bin & Du, Wen-Bo, 2016. "Structural properties of the Chinese air transportation multilayer network," Chaos, Solitons & Fractals, Elsevier, vol. 86(C), pages 28-34.
    8. Zhang, Lin & Xu, Min & Wang, Shuaian, 2023. "Quantifying bus route service disruptions under interdependent cascading failures of a multimodal public transit system based on an improved coupled map lattice model," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    9. Zhang, Lin & Wen, Huiying & Lu, Jian & Lei, Da & Li, Shubin & Ukkusuri, Satish V., 2022. "Exploring cascading reliability of multi-modal public transit network based on complex networks," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    10. Moreno-Pulido, Soledad & Pavón-Domínguez, Pablo & Burgos-Pintos, Pedro, 2021. "Temporal evolution of multifractality in the Madrid Metro subway network," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    11. Fei Ma & Fei Liu & Kum Fai Yuen & Polin Lai & Qipeng Sun & Xiaodan Li, 2019. "Cascading Failures and Vulnerability Evolution in Bus–Metro Complex Bilayer Networks under Rainstorm Weather Conditions," IJERPH, MDPI, vol. 16(3), pages 1-30, January.
    12. Calzada-Infante, L. & Adenso-Díaz, B. & García Carbajal, S., 2020. "Analysis of the European international railway network and passenger transfers," Chaos, Solitons & Fractals, Elsevier, vol. 141(C).
    13. Cai, Hua & Zhan, Xiaowei & Zhu, Ji & Jia, Xiaoping & Chiu, Anthony S.F. & Xu, Ming, 2016. "Understanding taxi travel patterns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 590-597.
    14. Yi Yao & Yifang Zhang & Lixin Tian & Nianxing Zhou & Zhilin Li & Minggang Wang, 2019. "Analysis of Network Structure of Urban Bike-Sharing System: A Case Study Based on Real-Time Data of a Public Bicycle System," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    15. A. A. De Bona & K. V. O. Fonseca & M. O. Rosa & R. Lüders & M. R. B. S. Delgado, 2016. "Analysis of Public Bus Transportation of a Brazilian City Based on the Theory of Complex Networks Using the P-Space," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-12, June.
    16. Batac, Rene C. & Cirunay, Michelle T., 2022. "Shortest paths along urban road network peripheries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).
    17. Lu, Qing-Chang & Zhang, Lei & Xu, Peng-Cheng & Cui, Xin & Li, Jing, 2022. "Modeling network vulnerability of urban rail transit under cascading failures: A Coupled Map Lattices approach," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    18. Yang, Xu-Hua & Cheng, Zhi & Chen, Guang & Wang, Lei & Ruan, Zhong-Yuan & Zheng, Yu-Jun, 2018. "The impact of a public bicycle-sharing system on urban public transport networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 246-256.
    19. Jing, Weiwei & Xu, Xiangdong & Pu, Yichao, 2020. "Route redundancy-based approach to identify the critical stations in metro networks: A mean-excess probability measure," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    20. Yi Shen & Gang Ren & Bin Ran, 2021. "Cascading failure analysis and robustness optimization of metro networks based on coupled map lattices: a case study of Nanjing, China," Transportation, Springer, vol. 48(2), pages 537-553, April.
    21. Li, Xianghua & Guo, Jingyi & Gao, Chao & Su, Zhen & Bao, Deng & Zhang, Zili, 2018. "Network-based transportation system analysis: A case study in a mountain city," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 256-265.
    22. Wang, Shuliang & Stanley, H. Eugene & Gao, Yachun, 2018. "A methodological framework for vulnerability analysis of interdependent infrastructure systems under deliberate attacks," Chaos, Solitons & Fractals, Elsevier, vol. 117(C), pages 21-29.
    23. Sergey V. Buldyrev & Roni Parshani & Gerald Paul & H. Eugene Stanley & Shlomo Havlin, 2010. "Catastrophic cascade of failures in interdependent networks," Nature, Nature, vol. 464(7291), pages 1025-1028, April.
    24. Zhang, Lin & Lu, Jian & Fu, Bai-bai & Li, Shu-bin, 2019. "A cascading failures model of weighted bus transit route network under route failure perspective considering link prediction effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1315-1330.
    25. Seaton, Katherine A. & Hackett, Lisa M., 2004. "Stations, trains and small-world networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 339(3), pages 635-644.
    26. Crucitti, Paolo & Latora, Vito & Marchiori, Massimo & Rapisarda, Andrea, 2003. "Efficiency of scale-free networks: error and attack tolerance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 320(C), pages 622-642.
    27. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
    28. Zhang, Mingyuan & Liang, Boyuan & Wang, Sheng & Perc, Matjaž & Du, Wenbo & Cao, Xianbin, 2018. "Analysis of flight conflicts in the Chinese air route network," Chaos, Solitons & Fractals, Elsevier, vol. 112(C), pages 97-102.
    29. Zhang, Jianhua & Wang, Ziqi & Wang, Shuliang & Shao, Wenchao & Zhao, Xun & Liu, Weizhi, 2021. "Vulnerability assessments of weighted urban rail transit networks with integrated coupled map lattices," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    30. Ailing Huang & H. Michael Zhang & Wei Guan & Yang Yang & Gaoqin Zong, 2015. "Cascading Failures in Weighted Complex Networks of Transit Systems Based on Coupled Map Lattices," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-16, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Lin & Xu, Min & Wang, Shuaian, 2023. "Quantifying bus route service disruptions under interdependent cascading failures of a multimodal public transit system based on an improved coupled map lattice model," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    2. Zhang, Jianhua & Min, Qinjie & Zhou, Yu & Cheng, Lilai, 2024. "Vulnerability assessments of urban rail transit networks based on extended coupled map lattices with evacuation capability," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    3. Lu, Qing-Chang & Xu, Peng-Cheng & Zhao, Xiangmo & Zhang, Lei & Li, Xiaoling & Cui, Xin, 2022. "Measuring network interdependency between dependent networks: A supply-demand-based approach," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    4. Shen, Yi & Yang, Huang & Ren, Gang & Ran, Bin, 2024. "Model cascading overload failure and dynamic vulnerability analysis of facility network of metro station," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    5. Lu, Qing-Chang & Li, Jing & Xu, Peng-Cheng & Zhang, Lei & Cui, Xin, 2024. "Modeling cascading failures of urban rail transit network based on passenger spatiotemporal heterogeneity," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    6. Hongyan Dui & Yuheng Yang & Yun-an Zhang & Yawen Zhu, 2022. "Recovery Analysis and Maintenance Priority of Metro Networks Based on Importance Measure," Mathematics, MDPI, vol. 10(21), pages 1-20, October.
    7. Zhou, Yaoming & Wang, Junwei, 2018. "Efficiency of complex networks under failures and attacks: A percolation approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 658-664.
    8. Jin, Kun & Wang, Wei & Li, Xinran & Chen, Siyuan & Qin, Shaoyang & Hua, Xuedong, 2023. "Cascading failure in urban rail transit network considering demand variation and time delay," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    9. Kashyap, G. & Ambika, G., 2019. "Link deletion in directed complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 631-643.
    10. Kashin Sugishita & Yasuo Asakura, 2021. "Vulnerability studies in the fields of transportation and complex networks: a citation network analysis," Public Transport, Springer, vol. 13(1), pages 1-34, March.
    11. Wang, Ziqi & Pei, Yulong & Zhang, Jianhua & Dong, Chuntong & Liu, Jing & Zhou, Dongyue, 2024. "Vulnerability analysis of public transit systems from the perspective of the traffic situation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 634(C).
    12. Guo, Shengmin & Wu, Ruoqian & Tong, Qingfeng & Zeng, Guanwen & Yang, Jian & Chen, Long & Zhu, Tongyu & Lv, Weifeng & Li, Daqing, 2018. "Is city traffic damaged by torrential rain?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1073-1080.
    13. Jin, Kun & Wang, Wei & Li, Xinran & Hua, Xuedong & Qin, Shaoyang, 2022. "Exploring the robustness of public transportation system on augmented network: A case from Nanjing China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    14. Rui Ding & Norsidah Ujang & Hussain Bin Hamid & Mohd Shahrudin Abd Manan & Rong Li & Safwan Subhi Mousa Albadareen & Ashkan Nochian & Jianjun Wu, 2019. "Application of Complex Networks Theory in Urban Traffic Network Researches," Networks and Spatial Economics, Springer, vol. 19(4), pages 1281-1317, December.
    15. Jalili, Mahdi, 2011. "Error and attack tolerance of small-worldness in complex networks," Journal of Informetrics, Elsevier, vol. 5(3), pages 422-430.
    16. He, Xiang & Yuan, Yongbo, 2022. "Revisiting driving factor influences on uncertain cascading disaster evolutions: From perspective of global sensitivity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).
    17. Lv, Changchun & Yuan, Ziwei & Si, Shubin & Duan, Dongli, 2021. "Robustness of scale-free networks with dynamical behavior against multi-node perturbation," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    18. Aymeric Vié & Alfredo J. Morales, 2021. "How Connected is Too Connected? Impact of Network Topology on Systemic Risk and Collapse of Complex Economic Systems," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1327-1351, April.
    19. Gao, Yan-Li & Chen, Shi-Ming & Nie, Sen & Ma, Fei & Guan, Jun-Jie, 2018. "Robustness analysis of interdependent networks under multiple-attacking strategies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 495-504.
    20. Dong, Shangjia & Gao, Xinyu & Mostafavi, Ali & Gao, Jianxi & Gangwal, Utkarsh, 2023. "Characterizing resilience of flood-disrupted dynamic transportation network through the lens of link reliability and stability," Reliability Engineering and System Safety, Elsevier, vol. 232(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:638:y:2024:i:c:s0378437124000840. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.