A method for assessing physical and mental health and identifying landscape elements of urban small and micro green spaces

By acquiring and analyzing landscape element data of small green spaces in cities, and using random forest and semantic segmentation models, key factors affecting physical and mental health are identified and optimized. This solves the problem of insufficient correlation between landscape features and sensory perception in existing technologies, and enables scientific health assessment and optimization recommendations.

CN122134206APending Publication Date: 2026-06-02INST OF URBAN ENVIRONMENT CHINESE ACAD OF SCI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
INST OF URBAN ENVIRONMENT CHINESE ACAD OF SCI
Filing Date
2026-03-25
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing technologies have failed to effectively establish the connection between landscape features and subjective sensory perception, making it difficult to identify key landscape elements that affect the physical and mental health of small urban green spaces.

Method used

By acquiring landscape element data of small green spaces in the city, including green view rate, sky openness, sound environment data, microclimate parameters and vegetation type, the data is fused and analyzed using random forest model and semantic segmentation model to identify key factors affecting physical and mental health and generate targeted suggestions.

Benefits of technology

It enables a scientific assessment of the physical and mental health of small green spaces in cities, identifies and optimizes key landscape elements, enhances the scientific nature and guidance of the evaluation, and provides intuitive health benefit assessment results.

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Abstract

The application provides a kind of city small micro green space physical and mental health assessment and landscape element identification method, it is related to park health evaluation technical field, the method is by obtaining the landscape element data, sensory perception data and physical and mental health data of city small micro green space;Landscape element data includes green view rate, sky openness, sound environment data, microclimate parameters and facility configuration, vegetation type;Sensory perception data and physical and mental health data are associated and fused, input predetermined health benefit evaluation model, output key landscape element data and sensory perception that affect physical and mental health, the evaluation result is graphically visualized, shows the physical and mental health score and spatial distribution of each local area.The application solves the problem that the correlation between landscape elements and sensory perception cannot be established, making it difficult to identify key landscape elements affecting the physical and mental health of city small micro green space for targeted improvement.
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