Evidence map›Paper›PMID 40473663›Full record

ArticleScientific reports2025

Resilience assessment of urban connected infrastructure networks.

Wei Liu, XiaoQin Huang, Baojun Liang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Wei LiuSchool of Civil Engineering and Architecture, East China Jiaotong University, Nanchang, 330013, China. liuweijx13@163.com.
XiaoQin HuangSchool of Civil Engineering and Architecture, East China Jiaotong University, Nanchang, 330013, China. 13064162014@163.com.
Baojun LiangSchool of Civil Engineering and Architecture, East China Jiaotong University, Nanchang, 330013, China.

Funding

Jiangxi Province 2024 Postgraduate Innovation Special Funds Project YC2024-S418Jiangxi Provincial Natural Science Foundation 20242BAB204088Jiangxi University Humanities and Social Sciences Research Program GL23123National Natural Science Foundation of China project 72261012
6 · The paper itself

Abstract

With the development of society, infrastructures have not only expanded in size, but have also formed complex dependencies among themselves, constituting closely interconnected network systems. At present, it has become a global consensus to enhance the resilience of infrastructure networks. In order to deeply understand how the interconnections among urban infrastructure systems affect the resilience performance of cities, this study adopts a combination of theoretical discussions and Python simulation techniques to systematically analyze the resilience dynamics of urban connected infrastructure networks when they encounter external perturbations. First, based on the principle of resilience construction and the multilayer network theoretical framework, we constructed a linkage model of the urban infrastructure network. Subsequently, focusing on the functional linkage perspective, we simulate the cascading failure mechanism of the network under three different external shocks, and construct a resilience assessment model for the urban infrastructure network with the help of the curve method of infrastructure system performance assessment. Finally, an empirical study is conducted with a county in Jiangxi Province as a specific case.

Indexed as

Network resilienceResilience assessmentUrban-linked infrastructureUrban resilience

Identifiers

PMID40473663
PMCPMC12141532

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.