Identifying critical links using network capacity-based indicator in multi-modal transportation networks

Muqing Du, Xiaowei Jiang, Anthony Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review


This article aims to develop a new link criticality indictor based on the network capacity concept of a multimodal transportation network. Model formulation and solution algorithm are developed for this multimodal transportation network capacity problem. To improve the efficiency, a sensitivity-based approximation approach is also developed to avoid the need to repeatedly solve the bi-level network capacity problem for each disrupted link as in the typical network scanning approach. Numerical experiments are conducted and compared to the traditional efficiency-based criticality indicator. The findings reveal the proposed network capacity-based indicator indeed is more useful than the efficiency-based indicator when the link capacity limit is violated in the degraded network.

Original languageEnglish
JournalTransportmetrica B
Publication statusAccepted/In press - 2022


  • critical links
  • Multi-modal transportation
  • network capacity
  • sensitivity analysis

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Transportation

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