ArticlePloS one2026
Evaluating age-friendly smart city policy design: A PMC-Index analysis of chinese provincial frameworks.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The intersections of rapid demographic aging and urban digitalization present unprecedented governance challenges, yet current smart city evaluation frameworks inadequately address age-friendly policy implementation. This study addresses the critical analytical gap in evaluating age-friendly dimensions within smart city policy frameworks through development of an adapted Policy Modeling Consistency (PMC-Index) methodology. Analyzing 18 provincial-level policy documents in China (2011-2024) through integrated text mining techniques, this research examines relationships between policy text characteristics and implementation effectiveness. Statistical analysis reveals significant correlations (r = 0.83, p < 0.001) between textual features and implementation outcomes. Principal component analysis identifies three determinants of policy effectiveness: implementation mechanism sophistication (42.3% variance), resource integration capacity (28.7%), and stakeholder coordination efficiency (18.4%). The adapted framework explains 71.8% of implementation variance, substantially exceeding conventional approaches. The study links textual analysis with implementation assessment, offering empirical guidance for age-friendly smart urban governance.
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