ArticlePloS one2026
Integrating SolVES and social media analytics to quantify social value spatial patterns and driving mechanisms in mega-scale green spaces.
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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4 authors.
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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 < 0.01); and (3) ecological values (e.g., life-sustaining functions) received 58% less public attention than aesthetic values, as identified through semantic analysis. Based on these findings, spatial optimization strategies-such as cultural-recreational corridors and nature education zones-along with a diversified management mechanism were proposed. The framework advances ecosystem services (ES) assessment by reconciling spatial quantification (AUC > 0.8) and semantic perception, offering a transferable tool for equitable and multifunctional green space planning.
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