Quantitative analysis for resilinece-based urban rail systems: A hybrid knowledge-based and data-drive approach

Yin, J, Ren, X, Liu, R orcid.org/0000-0003-0627-3184 et al. (2 more authors) (Accepted: 2021) Quantitative analysis for resilinece-based urban rail systems: A hybrid knowledge-based and data-drive approach. Reliability Engineering and System Safety. ISSN 0951-8320 (In Press)

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Authors/Creators:
Dates:
  • Accepted: 19 November 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds)
Funding Information:
FunderGrant number
Royal Academy of EngineeringTSPC1025
Depositing User: Symplectic Publications
Date Deposited: 24 Nov 2021 12:28
Last Modified: 24 Nov 2021 12:28
Status: In Press
Publisher: Elsevier

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