Features of urban green spaces associated with positive emotions, mindfulness and relaxation
Agnieszka Olszewska-Guizzo, Angelia Sia, Anna Fogel, Roger Ho
Scientific Reports November 30, 2022 DOI: 10.1038/s41598-022-24637-0 via OpenAlex
Summary
AI-generated from the abstractExposure to urban green spaces designed with specific landscape features can boost positive emotions and relaxation-related brain activity. In a study of 74 healthy adults, landscapes rated using the Contemplative Landscape Model (CLM) predicted self-reported emotional valence and arousal, as well as alpha and theta brain waves (indicating relaxation and mindfulness), particularly in outdoor settings. The strongest associations were with features like peace and silence, landscape layers, and archetypal elements. Brain reactivity and arousal differed between lab and outdoor settings, but emotional valence was similar. The findings offer concrete guidelines for designing health-promoting urban green spaces.
Study at a glance
| Characteristics | Observational cohort Peer reviewed |
|---|---|
| Sample size | 74 |
| Population | Healthy adults |
| Topics | Meditation |
| Keywords | Relaxation psychology Computer science Psychotherapist Neuroscience |
| Citations | 95 |
| Key finding | CLM scores predicted self-reported Valence and Arousal, and low frequency power bands (Alpha and Theta) in the naturalistic setting, with Character of Peace and Silence, Layers of the Landscape and Archetypal Elements showing the strongest associations. |
Abstract
There is an established consensus among researchers that contact with nature improves mental health, wellbeing, and quality of life in urbanised environments. Studies tend to examine the health impacts of nature without identifying specific physical and spatial landscape features that could guide health-promoting design of urban green spaces. A growing body of evidence suggests that landscape features described in the Contemplative Landscape Model (CLM) can be used to measure therapeutic value of urban landscapes. CLM assesses urban landscapes across seven sub-scales: Layers of the Landscape, Landform, Vegetation, Color and Light, Compatibility, Archetypal Elements and Character of Peace and Silence. We exposed 74 healthy adults to six urban landscapes in laboratory (video representations) and naturalistic outdoor settings. We explored the associations between the visual quality of urban landscapes annotated with CLM, with self-reported positive emotions and brain activity consistent with mindfulness (Theta waves), relaxation (Alpha waves) and attention restoration (Beta waves), and differences between laboratory and naturalistic setting. CLM scores predicted self-reported Valence and Arousal, and low frequency power bands: Alpha and Theta in the naturalistic setting. Landscape features showing the strongest associations were Character of Peace and Silence, Layers of the Landscape and Archetypal Elements. Alpha, Theta brain reactivity and Arousal scores, were significantly different between laboratory and naturalistic settings (p < 0.05), while Valence scores between those settings were statistically identical (p = 0.22). Self-reported Valence and Arousal, but not brain activity, were significantly associated with the majority of landscape features in the laboratory setting. The results of the study provide guidelines on the urban landscape features most beneficial for human health, to inform urban green space design.