IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6239-672-2_71.html

The Resilience Analysis of the Urban Rail Transit System

Author

Listed:
  • Siyu Chen

    (International School of Luxembourg)

Abstract

The urban rail transit (URT) system, a crucial component of urban transportation infrastructure, plays an indispensable role in ensuring the seamless operation of cities. The resilience of the URT system, defined as its capacity to withstand, absorb, and recover from disruptions, encompasses attributes such as robustness and survivability. This concept has become a focal point of academic and practical research. A diverse array of methodologies, including topology analysis, virtual simulation, data - driven approaches, and model optimization techniques, have been developed to evaluate URT system resilience. These research efforts have laid a solid foundation for enhancing the resilience of URT systems. However, several challenges remain. There is significant room for improvement in integrating multi - source data and enhancing the accuracy of simulations in complex scenarios. Looking ahead, the integration of emerging technologies such as big data analytics and artificial intelligence holds great promise. Leveraging these cutting - edge tools can facilitate more in - depth interdisciplinary research, thereby strengthening our understanding and practical application of URT system resilience. By addressing real - world challenges through these advancements, we can promote the sustainable development of URT systems and enhance their pivotal role in urban development.

Suggested Citation

  • Siyu Chen, 2026. "The Resilience Analysis of the Urban Rail Transit System," Advances in Economics, Business and Management Research,, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-672-2_71
    DOI: 10.2991/978-94-6239-672-2_71
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:advbcp:978-94-6239-672-2_71. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.