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Cited by 264

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Assessment methods of urban system resilience: From the perspective of complex adaptive system theory

Shi, Yijun, Zhai, Guofang, Xu, Lihua, Zhou, Shutian, Lu, Yuwen, Liu, Hongbo, Huang, Wei·2021·Cities

Abstract

Abstract With the continuous development of urbanization, and increasing uncertainties and risks, resilience has become an important criterion for urban safety. As a dynamic and open spatial system, the urban system presents typical complex features. Thus, the understanding of urban resilience from the perspective of complex systems theory is helpful to achieve a full understanding of the composition and functioning mechanism of urban systems, and to then improve the scientific nature of urban system cognition and research. In this article, the literature on urban resilience is first reviewed, and it is found that the related research on resilience assessment has yielded some assessment methods. Then, based on complex adaptive systems (CAS) theory and combined with its seven basic characteristics, the basic characteristics of complex urban systems are summarized from the perspective of the principle of the urban system action mechanism. On this basis, a framework of complex urban systems is constructed from three aspects, namely the system environment, system elements and system structure, and the assessment methods of the urban system resilience for each aspect are explored. This study not only expands the research on urban system resilience assessment, but also provides a reference for urban safety development and resilience improvement.

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Metadata

Authors
Shi, Y., Zhai, G., Xu, L., Zhou, S., Lu, Y., Liu, H., & Huang, W.
Venue
Cities
Publisher
Elsevier BV
Published
2021-05
Volume
112
Pages
103141
ISSN
0264-2751 (ISSN-L)
OpenAlex
W3131339131
Cited by
264
References
44
FWCI
43.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Assessment methods of urban system resilience: From the perspective of complex adaptive system theory. https://app.cochat.ai/papers/10.1016/j.cities.2021.103141
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Shi, Y., Zhai, G., Xu, L., Zhou, S., Lu, Y., Liu, H., & Huang, W. (2021). Assessment methods of urban system resilience: From the perspective of complex adaptive system theory. Cities. https://doi.org/10.1016/j.cities.2021.103141

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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.