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Resilience assessment and enhancement of urban transportation interdependent network under cascading failure.

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Title: Resilience assessment and enhancement of urban transportation interdependent network under cascading failure.
Authors: Li, Meng1 (AUTHOR) limengfendoua@163.com, Song, Yu-Rong1 (AUTHOR) songyr@njupt.edu.cn, Song, Bo1 (AUTHOR) songbo@njupt.edu.cn, Jiang, Guo-Ping1 (AUTHOR) jianggp@njupt.edu.cn
Source: Reliability Engineering & System Safety. Sep2026, Vol. 273, pN.PAG-N.PAG. 1p.
Subjects: Urban transportation, System failures, Traffic engineering, Reliability in engineering, Fault tolerance (Engineering)
Abstract: • The network resilience under different transfer distances and disturbances is evaluated. • A cascading failure model considering passenger transfer impedance is proposed. • The optimal transfer distance is determined by balancing network performance and cost. • A recovery priority strategy for failed nodes is designed. [Display omitted] Urban transportation systems are essential for sustaining urban growth and ensuring efficient resource allocation. Existing studies primarily focus on evaluating network resilience after system disturbances, with insufficient attention paid to the response mechanisms during disturbances and the enhancement of resilience afterward. Therefore, we propose a cascading failure model that considers passenger transfer impedance, and design a recovery priority strategy for failed nodes to maximize the resilience of the urban transportation interdependent network (UTIN). Specifically, based on traffic sensing data, we construct a station-centric UTIN to assess structural resilience under various disruption scenarios and different transfer distances. By combining impedance function and flow redistribution, passenger behavior and node load update are considered. Additionally, the recovery priority strategy for failed nodes is discussed. The results indicate: 1) UTINs with longer transfer distances exhibit stronger resistance to risks. When considering impedance costs, the optimal transfer distance is 800 m. 2) During cascading failure propagation, optimizing flow distribution effectively lowers the critical capacity threshold required for system stability, thereby enhancing network resilience. 3) During the recovery phase, different recovery strategies exhibit significant differences in their effectiveness in restoring system resilience. The research findings provide valuable references for disaster prevention, emergency response, and post-disaster recovery in urban transportation systems. [ABSTRACT FROM AUTHOR]
Copyright of Reliability Engineering & System Safety is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 193683274
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Resilience assessment and enhancement of urban transportation interdependent network under cascading failure.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Meng%22">Li, Meng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> limengfendoua@163.com</i><br /><searchLink fieldCode="AR" term="%22Song%2C+Yu-Rong%22">Song, Yu-Rong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> songyr@njupt.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Song%2C+Bo%22">Song, Bo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> songbo@njupt.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Jiang%2C+Guo-Ping%22">Jiang, Guo-Ping</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jianggp@njupt.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Reliability+Engineering+%26+System+Safety%22">Reliability Engineering & System Safety</searchLink>. Sep2026, Vol. 273, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Urban+transportation%22">Urban transportation</searchLink><br /><searchLink fieldCode="DE" term="%22System+failures%22">System failures</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+engineering%22">Traffic engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Reliability+in+engineering%22">Reliability in engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Fault+tolerance+%28Engineering%29%22">Fault tolerance (Engineering)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: • The network resilience under different transfer distances and disturbances is evaluated. • A cascading failure model considering passenger transfer impedance is proposed. • The optimal transfer distance is determined by balancing network performance and cost. • A recovery priority strategy for failed nodes is designed. [Display omitted] Urban transportation systems are essential for sustaining urban growth and ensuring efficient resource allocation. Existing studies primarily focus on evaluating network resilience after system disturbances, with insufficient attention paid to the response mechanisms during disturbances and the enhancement of resilience afterward. Therefore, we propose a cascading failure model that considers passenger transfer impedance, and design a recovery priority strategy for failed nodes to maximize the resilience of the urban transportation interdependent network (UTIN). Specifically, based on traffic sensing data, we construct a station-centric UTIN to assess structural resilience under various disruption scenarios and different transfer distances. By combining impedance function and flow redistribution, passenger behavior and node load update are considered. Additionally, the recovery priority strategy for failed nodes is discussed. The results indicate: 1) UTINs with longer transfer distances exhibit stronger resistance to risks. When considering impedance costs, the optimal transfer distance is 800 m. 2) During cascading failure propagation, optimizing flow distribution effectively lowers the critical capacity threshold required for system stability, thereby enhancing network resilience. 3) During the recovery phase, different recovery strategies exhibit significant differences in their effectiveness in restoring system resilience. The research findings provide valuable references for disaster prevention, emergency response, and post-disaster recovery in urban transportation systems. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Reliability Engineering & System Safety is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1016/j.ress.2026.112302
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Urban transportation
        Type: general
      – SubjectFull: System failures
        Type: general
      – SubjectFull: Traffic engineering
        Type: general
      – SubjectFull: Reliability in engineering
        Type: general
      – SubjectFull: Fault tolerance (Engineering)
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    Titles:
      – TitleFull: Resilience assessment and enhancement of urban transportation interdependent network under cascading failure.
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            NameFull: Li, Meng
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            NameFull: Song, Yu-Rong
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            NameFull: Song, Bo
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            NameFull: Jiang, Guo-Ping
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          Dates:
            – D: 01
              M: 09
              Text: Sep2026
              Type: published
              Y: 2026
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              Value: 273
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