A conceptual analytical framework for green infrastructure (GI) towards resilience building in urban contexts: A Stakeholders' collaboration perspective DOI Creative Commons
Frances Ifeoma Ukonze, Antoni Moore, Greg H. Leonard

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 59, P. 102254 - 102254

Published: Dec. 24, 2024

Language: Английский

How does Blue-Green Infrastructure affect the urban thermal environment across various functional zones? DOI
Lu Zhang, Siyu Wang, Wei Zhai

et al.

Urban forestry & urban greening, Journal Year: 2025, Volume and Issue: unknown, P. 128698 - 128698

Published: Jan. 1, 2025

Language: Английский

Citations

1
Combating urban heat: Systematic review of urban resilience and adaptation strategies DOI Creative Commons
Qingchen Fu,

Zhouhua Zheng,

Md Nazirul Islam Sarker

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(17), P. e37001 - e37001

Published: Aug. 27, 2024

Language: Английский

Citations

5
Urban green space, respiratory health and rising temperatures: An examination of the complex relationship between green space and adult asthma across racialized neighborhoods in Los Angeles County DOI Creative Commons
Peng Chen,

B M HANLON

Landscape and Urban Planning, Journal Year: 2025, Volume and Issue: 258, P. 105320 - 105320

Published: Feb. 17, 2025

Language: Английский

Citations

0
Analysis of Beijing's Cold and Heat Risks Based on Infectious Disease Trends DOI
Yi Zhou,

Endian Wan

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 119, P. 106117 - 106117

Published: Dec. 28, 2024

Language: Английский

Citations

1
Analysis of Surface Urban Heat Island in the Guangzhou-Foshan Metropolitan Area Based on Local Climate Zones DOI Creative Commons

Xiaxuan He,

Qifeng Yuan,

Yinghong Qin

et al.

Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1626 - 1626

Published: Oct. 7, 2024

Understanding the driving mechanisms behind surface urban heat island (SUHI) effects is essential for mitigating degradation of thermal environments and enhancing livability. However, previous studies have primarily concentrated on central areas, lacking a comprehensive analysis entire metropolitan area over distinct time periods. Additionally, most relied regression models such as ordinary least squares (OLS) or logistic regression, without adequately analyzing spatial heterogeneity factors influencing effects. Therefore, this study aims to explore in Guangzhou-Foshan across different The Local Climate Zones (LCZs) method was employed analyze landscape characteristics structure metropolis years 2013, 2018, 2023. Furthermore, Geographically Weighted Regression (GWR), Multi-scale (MGWR), Geographical Detector (GD) were utilized investigate interactions between (land cover factors, environmental socio-economic factors) Surface Urban Heat Island Intensity (SUHII), maximizing explanation SUHII all Three main findings emerged: First, exhibited significant heterogeneity, with non-linear relationship SUHII. Second, SUHI displayed core-periphery pattern, Large lowrise (LCZ 8) compact 3) areas showing highest levels core zones. Third, land emerged influential metropolis. These results indicate that exhibit notable varying negative can be leveraged mitigate locations. Such offer crucial insights future policy-making.

Language: Английский

Citations

0
A conceptual analytical framework for green infrastructure (GI) towards resilience building in urban contexts: A Stakeholders' collaboration perspective DOI Creative Commons
Frances Ifeoma Ukonze, Antoni Moore, Greg H. Leonard

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 59, P. 102254 - 102254

Published: Dec. 24, 2024

Language: Английский

Citations

0