Evidence map›Paper›PMID 41606032›Full record

ArticleScientific reports2026

Community resilience to urban flooding across comparative neighborhoods in China.

Yang Wei, Tetsuo Kidokoro, Fumihiko Seta, Yi Yang

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

4 authors.

Yang WeiSchool of Design, Southwest Jiaotong University, Chengdu, 611756, Sichuan, China. y-wei@swjtu.edu.cn.
Tetsuo KidokoroCenter for Sustainable Development Studies, Toyo University, Tokyo, 112-8606, Japan.
Fumihiko SetaDepartment of Urban Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, 113-8656, Japan.
Yi YangDepartment of Urban and Rural Planning, School of Design and Architecture, Zhejiang University of Technology, Hangzhou, 310023, China.

Funding

Construction Scientific Research Fund of Zhejiang Provincial Housing and Urban-Rural Development Department 2024K013Project of Key Research Center of Philosophy and Social Sciences of Sichuan Province MD24E017Project of MOE (Ministry of Education) Foundation on Humanities and Social Sciences 24YJCZH332Scientific Research Fund of Zhejiang Provincial Education Department Y202351341
6 · The paper itself

Abstract

As global climate change escalates and urban populations expand, natural disasters, including urban flooding, pose significant risks to rapidly urbanizing cities. Against this background, enhancing community resilience is widely recognized as one of the crucial approaches to mitigating the impact of disasters. Based on a survey in Chengdu, the Communities Advancing Resilience Toolkit (CART) assessment was employed to measure the perceived community resilience across three community types: urban, exurban, and suburban. 387 valid questionnaires were collected in this study, and the data were analyzed by using multiple linear regression analysis to explore the main influencing factors. Results indicate that: (1) Urban center residents reported the highest resilience perception, while those of the suburban community exhibited the lowest level. (2) Built environment characteristics contributed to intra-community variations in resilience perception. (3) Socio-demographic factors (e.g., age, income, education) and participation in disaster risk reduction (DRR) activities (particularly community volunteering and disaster drills) were significantly correlated with higher resilience scores. These findings highlight the significance of incorporating social capital and community involvement into urban resilience planning. Therefore, a “multi-sectoral approach” integrated framework is proposed for enhancing community resilience to cope with flooding and other disaster risks.

Indexed as

CART surveyChinaCommunity resilienceUrban flooding

Identifiers

PMID41606032
PMCPMC12909849

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.