Urban Forest Health Benefits Analysis: Ecological, Colour, and Spatial Factors in Kunming

Supplementary file 1 contains the research document for a study analyzing how vegetation landscapes enhance health benefits from urban forests. The study, authored by Kaiyuan Yi and last updated in April 2026, employed an integrated SEM-ISM-DEMATEL methodology with psychological, physiological, and eye-tracking experiments in Kunming, China.

Use Cases

• Modeling the causal relationships between ecological features and restorative benefits based on the described SEM-ISM-DEMATEL framework.
• Analyzing seasonal colour expression's impact on physiological arousal based on the HSV colour analysis of plant communities.
• Identifying key drivers like Plant Species Richness and Plant Health & Phenology for urban forest management based on the ISM-DEMATEL results.
• Studying the mediating role of Perceived Restorative Experience (PRE) between spatial features and health outcomes as described in the results.

Strengths

• The study integrates multiple data collection methods, including psychological scales, physiological monitoring, and eye-tracking.
• Research is grounded in a specific geographic context, with data collected in Kunming, China.
• The document is licensed under CC-BY-4.0, permitting open sharing and adaptation.

Limitations

• The dataset is a 5.7 MB DOCX file; the underlying quantitative data and its structure are not directly accessible.
• Row count and column-level documentation are unknown, which may limit suitability assessment for direct analysis.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Kaiyuan Yi via figshare.

Collection Method

Integrated quantitative HSV colour analysis and human-factors experiments incorporating psychological scales, physiological monitoring, and eye-tracking.

Time Range

Study period not specified; document last updated April 2026.

Freshness

Last updated 2026-04-27 12:57:58; freshness should be verified.

Geography

Data collected in Kunming, China.