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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]
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Database: Engineering Source
Description
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]
ISSN:09518320
DOI:10.1016/j.ress.2026.112302