Evidence map›Paper›PMID 41513734›Full record

ArticleScientific reports2026

Recognizing resilience evolution and connectivity in the Yangtze River Delta urban agglomeration.

Xihui Wang, Mei Sun, Minlian Wu

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xihui WangDepartment of Management, University of Science and Technology of China, 96 Jinzhai Street, Hefei, 230026, China.
Mei SunDepartment of Management, University of Science and Technology of China, 96 Jinzhai Street, Hefei, 230026, China.
Minlian WuDepartment of Management, University of Science and Technology of China, 96 Jinzhai Street, Hefei, 230026, China. wu.minlian@ustc.edu.cn.

Funding

Fundamental Research Funds for the Central Universities of Ministry of Education of China WK2040250137National Natural Science Foundation of China 72101249
6 · The paper itself

Abstract

Urban infrastructure resilience is critical for sustainable development in rapidly urbanising regions. However, existing assessments often fail to capture the complex interdependencies between cities, which limits our understanding of topological evolution of resilience networks at the regional scale. This study presents a novel framework that integrates the pressure-state-response model with complex network theory to evaluate the evolution of infrastructure resilience across 41 cities in China's Yangtze River Delta (YRD) from 2013 to 2022. With the help of ArcGIS and network analysis, considerable spatiotemporal dynamics was uncovered. Key results show that rapid resilience improvements in core cities have exacerbated regional inequalities. The performance in pressure, state and response subsystems exhibited distinct regional patterns. Network analysis indicated an increased cooperation in state and response systems, and the distribution of pressure sources was relatively dispersed. Furthermore, key node cities were most dynamic within the pressure network and remained relatively stable in the state and response networks. These insights offer a valuable decision-support tool for achieving balanced and resilient urban construction in the YRD and similar metropolitan regions.

Indexed as

Pressure-state-response frameworkUrban infrastructure resilienceUrban networkYangtze river delta urban agglomeration (YRDUA)

Identifiers

PMID41513734
PMCPMC12868706

What OpenQuestion holds

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Registered trials

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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.