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

и другие.

Urban Climate, Год журнала: 2024, Номер 59, С. 102254 - 102254

Опубликована: Дек. 24, 2024

Язык: Английский

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

и другие.

Urban forestry & urban greening, Год журнала: 2025, Номер unknown, С. 128698 - 128698

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

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

Zhouhua Zheng,

Md Nazirul Islam Sarker

и другие.

Heliyon, Год журнала: 2024, Номер 10(17), С. e37001 - e37001

Опубликована: Авг. 27, 2024

Язык: Английский

Процитировано

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, Год журнала: 2025, Номер 258, С. 105320 - 105320

Опубликована: Фев. 17, 2025

Язык: Английский

Процитировано

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

Endian Wan

Sustainable Cities and Society, Год журнала: 2024, Номер 119, С. 106117 - 106117

Опубликована: Дек. 28, 2024

Язык: Английский

Процитировано

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

и другие.

Land, Год журнала: 2024, Номер 13(10), С. 1626 - 1626

Опубликована: Окт. 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.

Язык: Английский

Процитировано

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

и другие.

Urban Climate, Год журнала: 2024, Номер 59, С. 102254 - 102254

Опубликована: Дек. 24, 2024

Язык: Английский

Процитировано

0