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February 9, 2026Frontiers in Public Health0 citationsOpen Access

Physiological restorative benefits of different types of urban green spaces: a threshold model approach

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DMDanping MaJLJianbin LuQWQilong Wu

Key Points

  • This research aims to understand the health benefits and physiological effects of various urban green spaces.
  • Developed a physiological health effects threshold model.
  • Analyzed EEG data of participant responses to urban parks, remnant forests, and wetland parks.
  • Established efficiency and benefit thresholds for different green spaces.
  • Urban parks showed the fastest physiological stress reduction.
  • Remnant forests and wetland parks led to heightened physiological alertness.
  • All green spaces were perceived differently regarding their restorative potential.

Abstract

Introduction As urbanization accelerates, understanding the specific health benefits of green spaces is crucial. This study investigates the physiological restorative effects of Urban Parks (UP), Remnant Forests (RF), and Wetland Parks (WP). Methods We employed a novel physiological health effects (PHE) threshold model and EEG data to analyze participant responses to short-term exposure in these environments, establishing efficiency and benefit thresholds. Results While all types provided benefits, they exhibited distinct patterns. UP demonstrated the most rapid and stable physiological stress reduction. Conversely, RF and WP elicited heightened physiological alertness (likely due to dense vegetation) but were subjectively perceived as having higher restorative potential due to biodiversity. Discussion The study highlights a divergence between objective physiological recovery and subjective psychological preference. We conclude that urban planning must incorporate both ecological and sensory dimensions to maximize public health benefits across different green space types.

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Cite This Study

Ma et al. (2026) studied this question.

synapsesocial.com/papers/698979a6f0ec2af6756e7804https://doi.org/10.3389/fpubh.2026.1735199
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