Impact of Urban Green Infrastructure on the Respiratory Health of Older Adults in Shenyang, China DOI Open Access
Zhenxing Li,

Yaqi Chu,

Yu Shi

et al.

Forests, Journal Year: 2024, Volume and Issue: 16(1), P. 41 - 41

Published: Dec. 29, 2024

As the global population ages, respiratory health among elderly has become a key public concern. Although urban green infrastructure (UGI) potential to improve air quality and promote health, research on how its layout patterns influence older adults remains limited. This study focuses residents aged 60 above in central area of Shenyang, China, evaluate relative importance interactions different features affecting health. We utilized St. George’s Respiratory Questionnaire (SGRQ) collect data employed hierarchical regression random forest (RF) models analyze impact UGI factors across three spatial scales (300 m, 500 1000 m). The results indicate that within 300 m radius participants’ residences contributes most significantly with diminishing marginal effects as scale increases. Green space (GSA) NDVI were identified important influencing while landscape pattern metrics had greater at larger extents. Additionally, significant nonlinear effect was observed between These findings provide insights for health-oriented planning design.

Language: Английский

Deep Learning-Driven Reconstruction of PM2.5 Vertical Profiles: A Fusion of Lidar and Tower Data DOI
Zihuai Yi, Xiang Yan,

Long Yun

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145397 - 145397

Published: March 1, 2025

Language: Английский

Citations

0
Impact of Urban Green Infrastructure on the Respiratory Health of Older Adults in Shenyang, China DOI Open Access
Zhenxing Li,

Yaqi Chu,

Yu Shi

et al.

Forests, Journal Year: 2024, Volume and Issue: 16(1), P. 41 - 41

Published: Dec. 29, 2024

As the global population ages, respiratory health among elderly has become a key public concern. Although urban green infrastructure (UGI) potential to improve air quality and promote health, research on how its layout patterns influence older adults remains limited. This study focuses residents aged 60 above in central area of Shenyang, China, evaluate relative importance interactions different features affecting health. We utilized St. George’s Respiratory Questionnaire (SGRQ) collect data employed hierarchical regression random forest (RF) models analyze impact UGI factors across three spatial scales (300 m, 500 1000 m). The results indicate that within 300 m radius participants’ residences contributes most significantly with diminishing marginal effects as scale increases. Green space (GSA) NDVI were identified important influencing while landscape pattern metrics had greater at larger extents. Additionally, significant nonlinear effect was observed between These findings provide insights for health-oriented planning design.

Language: Английский

Citations

0