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

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.

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Publication Details

Journal
Frontiers in Public Health
Published
2026-03-13
DOI
https://doi.org/10.3389/fpubh.2026.1751235
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Yujia Shan, Ling Ma, Hao Wu, Hongtu Yan et al.
Frontiers in Public Health
Smart Cities and Technologies
article

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

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

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.

Frontiers in Public HealthVol. 14
China University of Mining and Technology (CN), Jiangsu Vocational Institute of Architectural Technology (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Sustainable cities and communities
Openalex Percentile: Top 27%
Smart Cities and Technologies
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