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Evaluating age-friendly smart city policy design: A PMC-Index analysis of chinese provincial frameworks

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  • Yang Xin
  • Hu Weina
  • Deng Yan

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

Suggested Citation

  • Yang Xin & Hu Weina & Deng Yan, 2026. "Evaluating age-friendly smart city policy design: A PMC-Index analysis of chinese provincial frameworks," PLOS ONE, Public Library of Science, vol. 21(1), pages 1-27, January.
  • Handle: RePEc:plo:pone00:0340022
    DOI: 10.1371/journal.pone.0340022
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