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Cited by 320

The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.

Review of studies on the resilience of urban critical infrastructure networks

Liu, Wei, Song, Zhaoyang·2020·Reliability Engineering & System Safety

Abstract

Abstract With the rise of the resilience concept, scholars and practitioners have paid increasing attention to resilient city, which has become a new means of coping with hazards. As the cornerstone of modern cities, urban critical infrastructure networks (CINs) are prerequisites for resilient cities due to the huge economic losses and social impacts caused by their incapacities. In recent years, researches on the resilience of CINs have considerably increased, resulting in various resilience definitions, approaches, and enhanced strategies. This work reviews literature on six CINs, namely, water, drainage, gas, transportation, electric, and communication networks. The resilience definitions, hazard categories, methodologies, and enhanced measures for each CIN are analyzed in detail. Research challenges and future directions are also presented.

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Metadata

Authors
Liu, W., & Song, Z.
Venue
Reliability Engineering & System Safety
Publisher
Elsevier BV
Published
2020-01
Volume
193
Pages
106617
ISSN
0951-8320 (ISSN-L)
OpenAlex
W2969261624
Cited by
320
References
92
FWCI
19.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Review of studies on the resilience of urban critical infrastructure networks. https://app.cochat.ai/papers/10.1016/j.ress.2019.106617
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Liu, W., & Song, Z. (2020). Review of studies on the resilience of urban critical infrastructure networks. Reliability Engineering & System Safety. https://doi.org/10.1016/j.ress.2019.106617

Data sources

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.