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.


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    Title :

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


    Contributors:
    Du, Muqing (author) / Jiang, Xiaowei (author) / Chen, Anthony (author)

    Published in:

    Publication date :

    2022-12-31


    Size :

    25 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown