Construct the Cooling Capacity Corridor Network from the Perspective of Supply and Demand Coordination, Mitigate Urban Heat Island Effect DOI
Shengyu Guan, Xinyu Zhang, Ting Zhang

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Revealing Multiscale and Nonlinear Effects of Urban Green Spaces on Heat Islands in High-Density Cities: Insights from MSPA and Machine Learning DOI
Qikang Zhong, Zhe Li, Jiawei Zhu

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106173 - 106173

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

3
The creation of multi-level urban ecological cooling network to alleviate the urban heat island effect DOI
Yingying Li, Shumei Wang, Shujun Zhang

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105786 - 105786

Опубликована: Авг. 30, 2024

Язык: Английский

Процитировано

15
Summer cooling island effects of blue-green spaces in severe cold regions: A case study of harbin, China DOI
Qixin Liu, Qi Dong, Luchen Zhang

и другие.

Building and Environment, Год журнала: 2024, Номер 257, С. 111539 - 111539

Опубликована: Апрель 16, 2024

Язык: Английский

Процитировано

11
Effect of green blue spaces on the urban thermal environment: A field study in Hong Kong DOI
Xuan Chen, Han Wang, Jiachuan Yang

и другие.

Urban Climate, Год журнала: 2024, Номер 55, С. 101912 - 101912

Опубликована: Апрель 18, 2024

Язык: Английский

Процитировано

10
The cooling capacity of urban vegetation and its driving force under extreme hot weather: A comparative study between dry-hot and humid-hot cities DOI
Zhibin Ren,

Chengcong Wang,

Yüjie Guo

и другие.

Building and Environment, Год журнала: 2024, Номер 263, С. 111901 - 111901

Опубликована: Июль 30, 2024

Язык: Английский

Процитировано

8
Mitigating Urban Heat Islands in the Global South: Data-driven Approach for Effective Cooling Strategies DOI
Rabin Chakrabortty, Malay Pramanik, Md. Mehedi Hasan

и другие.

Earth Systems and Environment, Год журнала: 2024, Номер unknown

Опубликована: Сен. 13, 2024

Язык: Английский

Процитировано

5
Last defense in climate change: Assessing healthcare inequities in response to compound environmental risk in a megacity in Northern China DOI
Qi Cheng, Shiyan Sha

Sustainable Cities and Society, Год журнала: 2024, Номер 115, С. 105886 - 105886

Опубликована: Окт. 9, 2024

Язык: Английский

Процитировано

4
A hybrid forecasting model to improve cost prediction accuracy in green building projects with machine learning DOI
Zhijiang Wu, Mengyao Liu, Guofeng Ma

и другие.

Engineering Construction & Architectural Management, Год журнала: 2025, Номер unknown

Опубликована: Фев. 10, 2025

Purpose The objective of this study is to accurately predict the cost green buildings provide quantifiable criteria for investment decisions from investors. Design/methodology/approach This proposes a hybrid prediction model ML-based GBPs and obtains parameters (PPs) associated with project characteristics through data mining (DM) techniques. integrates principal component analysis (PCA) method perform parameter dimensionality reduction (PDR) on large number raw variables independent characteristic terms. Moreover, support vector machine (SVM) algorithm improved optimize results integrated prediction. Findings show that mean absolute relative errors proposed in are equal 39.78 0.02, respectively, which much lower than those traditional SVM MRA model. also achieved better accuracy ( R 2 = 0.319) superior different Originality/value Theoretically, developed can reliably while capturing GBPs, bold attempt at comprehensive approach. Practically, provides developers new capable costs projects ambiguous definitions complex characteristics.

Язык: Английский

Процитировано

0
Configuration of Green–Blue–Grey Spaces for Efficient Cooling of Urban Physical and Perceptual Thermal Environments DOI Creative Commons

Wenxia Zeng,

Kun Yang, Shaohua Zhang

и другие.

Land, Год журнала: 2025, Номер 14(3), С. 645 - 645

Опубликована: Март 18, 2025

Blue and green spaces are well-known for their benefits in improving urban thermal environments. However, the optimal configuration of green, blue, grey (GBGSs) physical mental health residents remains unclear. Therefore, we employed land surface temperature (LST), near-surface air (SAT), Humidex to analyze GBGS. The results indicated following: (1) spatial distribution Perceptual Urban Thermal Environments (PTEs) is consistent with that Surface (STEs). most perceptual indicators lower than daytime LST higher SAT. (2) have cooling efficiency spaces. (3) coverage space less 40%, at least 35% space, blue covers between 15% 25%, which balance environment. Moreover, increasing simplifying recommended where below 30%. In areas 30–40% enhancing complexity fragmentation boundaries more effective. Maintaining 30% optimizing aggregation improves over 40%. This study provides scientific foundation GBGSs development renovations.

Язык: Английский

Процитировано

0
From Complex Networks to Urban Heat Island Governance: Structural Analysis and Intervention in Xiamen Island's Heat Island Network DOI

Huanjia Cui,

Yu Wang, Qiang Yu

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106320 - 106320

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0