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The Non-Linear Impact of Green Space Recreational Service Performance on Residents’ Emotional States in High-Density Cities
Summary
Researchers assessed green space recreational service performance in high-density Chinese cities and modeled its non-linear relationship with residents' emotional well-being. They found that moderate green space quality and accessibility had the strongest positive effects on emotional health, with diminishing returns at very high provision levels, informing urban park planning priorities.
Amid accelerating global high-density urbanization, two pressing challenges have emerged: shrinking green space supplies in built-up areas and growing demand for residents’ emotional well-being. Notably, green spaces’ recreational function plays a pivotal role in alleviating emotional distress. This study aims to systematically assess Green Space Recreation Service Performance (GRSP) and unravel its non-linear impact on residents’ emotional states. Using Shijiazhuang—a representative high-density city in China—as a case study, we developed a GRSP evaluation framework integrating supply–demand balance and utilization efficiency. Natural Language Processing (NLP) techniques parsed social media texts, with continuous emotional scores quantifying residents’ emotional states. Finally, a Gradient Boosting Decision Tree (GBDT) model empirically explored the links between GRSP indicators and emotional states. Results show significant spatial differentiation and supply–demand mismatch in Shijiazhuang’s central urban GRSP: peripheral new districts have abundant green space supply but low utilization efficiency, while central built-up areas face insufficient supply paired with high usage intensity. Residents’ self-reported emotional health correlates with green space accessibility and crowding levels, with park distribution equity as the dominant driver. GRSP’s impact on emotional states exhibits non-linearities, threshold effects, and distinct interactions among core indicators. This study identifies key GRSP indicators influencing emotional states, clarifies their non-linear interaction mechanisms and critical thresholds, and provides empirical evidence for advancing emotional health theories in high-density urban contexts.
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