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Integrating SolVES and social media analytics to quantify social value spatial patterns and driving mechanisms in mega-scale green spaces

Author

Listed:
  • Hui Fan
  • Rongrong An
  • Ziyu Teng
  • Ying Wang

Abstract

Assessing the social values (SVs) of mega-scale green spaces (MSGs) in regenerated brownfields remains challenging due to spatial heterogeneity and perceptual dynamics. This study developed a dual-modal framework integrating the Social Values for Ecosystem Services (SolVES) model and social media analytics (1,086 reviews) to assess SVs in Luogang Park (1,270 ha), Hefei. Results revealed: (1) spatial polarization of SVs, with aesthetic and recreational hot spots clustering in cultural landmarks (mean value index, M-VI = 10), while biodiversity cold spots (M-VI = 6) were dispersed in ecological zones; (2) key drivers included proximity to roads (20–50 m buffer, contribution = 32.7%) and density of service facilities (p 0.8) and semantic perception, offering a transferable tool for equitable and multifunctional green space planning.

Suggested Citation

  • Hui Fan & Rongrong An & Ziyu Teng & Ying Wang, 2026. "Integrating SolVES and social media analytics to quantify social value spatial patterns and driving mechanisms in mega-scale green spaces," PLOS ONE, Public Library of Science, vol. 21(4), pages 1-25, April.
    • Handle: RePEc:plo:pone00:0345601
    DOI: 10.1371/journal.pone.0345601
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