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Cited by 455

The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.

Resilience of Transportation Systems: Concepts and Comprehensive Review

Zhou, Yaoming, Wang, Junwei, Yang, Hai·2019·IEEE Transactions on Intelligent Transportation Systems

Abstract

The resilience of transportation systems has been extensively studied in the past decade. This paper aims to provide a synthesis of the up-to-date literature on resilient transportation, focusing on concepts and methodologies. A systematic literature search method integrating database search, related journal search, and citation supplement is proposed to select all the appropriate articles. Based on the selected core papers, the definition of resilience is examined, and some related concepts are compared. The main body of the paper is devoted to the review of metrics and mathematical models used to measure resilience and the strategies used to enhance resilience. Several popular subtopics are identified and discussed. Finally, current research gaps and challenges are addressed, and some potential research directions are presented.

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Metadata

Authors
Zhou, Y., Wang, J., & Yang, H.
Venue
IEEE Transactions on Intelligent Transportation Systems
Published
2019-12
Volume
20
Issue
12
Pages
4262-4276
ISSN
  • 1524-9050 (ISSN-L)
  • 1558-0016
OpenAlex
W2907080458
Cited by
455
References
72
FWCI
25.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Resilience of Transportation Systems: Concepts and Comprehensive Review. https://app.cochat.ai/papers/10.1109/tits.2018.2883766
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Zhou, Y., Wang, J., & Yang, H. (2019). Resilience of Transportation Systems: Concepts and Comprehensive Review. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2018.2883766

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.