Exploring the scale effect of urban thermal environment through XGBoost model

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 114, P. 105763 - 105763

Published: Aug. 23, 2024

Language: Английский

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Impacts of Land Use Characteristics on Extreme Heat Events: Insights from Explainable Machine Learning Model

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106139 - 106139

Published: Jan. 1, 2025

Language: Английский

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Exploration of non-linear influence mechanisms of traditional courtyard forms on thermal comfort in winter and summer: A case study of Beijing, China

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: 119, P. 106124 - 106124

Published: Jan. 5, 2025

Language: Английский

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Integrating morphology and vitality to quantify seasonal contributions of urban functional zones to thermal environment

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106136 - 106136

Published: Jan. 1, 2025

Language: Английский

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Spatially-optimized greenspace for more effective urban heat mitigation: Insights from regional cooling heterogeneity via explainable machine learning

Landscape and Urban Planning, Journal Year: 2025, Volume and Issue: 256, P. 105296 - 105296

Published: Jan. 16, 2025

Language: Английский

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Assessing spatial inequities of thermal environment and blue-green intervention for vulnerable populations in dense urban areas

Urban Climate, Journal Year: 2025, Volume and Issue: 59, P. 102328 - 102328

Published: Feb. 1, 2025

Language: Английский

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The nonlinear climatological impacts of urban morphology on extreme heats in urban functional zones: An interpretable ensemble learning-based approach

Building and Environment, Journal Year: 2025, Volume and Issue: 273, P. 112728 - 112728

Published: Feb. 18, 2025

Language: Английский

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Research on the cool island effect of green spaces in megacity cores: A case study of the main urban area of Xi'an, China

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106255 - 106255

Published: Feb. 1, 2025

Language: Английский

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Decoupling the Multi-drivers of Urban Extreme Heat Environment in Urban Agglomerations Using Ensemble Learning

Building and Environment, Journal Year: 2024, Volume and Issue: 258, P. 111618 - 111618

Published: May 9, 2024

Language: Английский

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Nonlinear effects of urban multidimensional characteristics on daytime and nighttime land surface temperature in highly urbanized regions: A case study in Beijing, China

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 132, P. 104067 - 104067

Published: Aug. 1, 2024

It is crucial to clarify the nonlinear effects of urban multidimensional characteristics on land surface temperature (LST). However, combined consideration green space (UGS), water bodies, buildings, and socio-economic factors limited. And diurnal differences in their thermal have been less considered. In this study, central Beijing was taken as study area. Local climate zones (LCZ) were firstly applied reveal spatiotemporal heterogeneity LST. Then, interpretable machine learning methods utilized quantitatively characteristics, i.e., UGS, building landscape features, features. The results indicated that built type LCZs a higher average LST compared natural LCZs. simultaneously influenced by buildings' density height characteristics. Daytime mainly affected proportions trees, while nighttime more key exhibit Whether during day or night, impact coverage greater than height, consistently exhibiting warming effect. While, body edge both exhibited reversal trend between night. Our also emphasized importance trees UGS provided recommendations for planning based sensitivity contribution considerations. These findings can help regulate promote sustainable development.

Language: Английский

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