Evidence map›Paper›PMID 41908753›Full record

ArticleFrontiers in public health2026

Decoding stakeholders' demand to map the future of smart communities: evidence from China.

Wei Qi, Yujia Shan, Ling Ma, Hao Wu, Hongtu Yan, Pengju Han, Tiantian Gu

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

7 authors.

Wei QiSchool of Construction Management, Jiangsu Vocational Institute of Architectural Technology, Xuzhou, China.
Yujia ShanSchool of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China.
Ling MaSchool of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China.
Hao WuSchool of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China.
Hongtu YanSchool of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China.
Pengju HanSchool of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China.
Tiantian GuSchool of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Smart community development is critical for enhancing community resilience and strengthening collective capacities to respond to public health and other urban crises. A model-based taxonomy of stakeholder demands remains absent, as existing exploration has largely been limited to analyses of single stakeholder groups. Method: This study therefore develops a comprehensive classification model to capture stakeholder demands across three critical dimensions: community safety, livability services, and community governance. By integrating hierarchical clustering and K-means analysis of survey data from 1,606 respondents across 32 typical smart communities in China, a clear taxonomy of stakeholder demand emerges. Results and Discussion: The analysis identifies four distinct clusters: Cluster 1 (strong livability services demand), Cluster 2 (prioritized safety and governance demand), Cluster 3 (comprehensive demand across all dimensions), and Cluster 4 (weak livability-focused demand). Furthermore, these clusters reveal a consistent evolutionary pathway along a low-medium-high demand continuum. Conclusion: The findings provide a basis for public health and crisis governance, enabling targeted strategies that address differentiated community demands and foster more resilient communities.

Indexed as

Stakeholder ParticipationChinaCluster AnalysisHumansPublic HealthSafetySurveys and Questionnairescluster analysiscommunity governancecommunity resiliencesmart communitystakeholder demand

Identifiers

PMID41908753
PMCPMC13021643

What OpenQuestion holds

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LicenceCC BY
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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.