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.
Authors
- Yujia Shan
- Ling Ma (ORCID: https://orcid.org/0000-0002-7212-5107)
- Hao Wu (ORCID: https://orcid.org/0009-0007-6657-601X)
- Hongtu Yan
- Wei Qi
- Tiantian Gu
- Pengju Han
Institutions
- China University of Mining and Technology (CN)
- Jiangsu Vocational Institute of Architectural Technology (CN)
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
Funders
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities