Revealing the impact of Urban spatial morphology on land surface temperature in plain and plateau cities using explainable machine learning DOI

Zi Wang,

Rui Zhou, Jin Rui

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106046 - 106046

Published: Dec. 1, 2024

Language: Английский

Impacts of two-dimensional and three-dimensional urban morphology on urban thermal environments in high-density cities: A case study of Hong Kong DOI
Yong Xu, Jinxin Yang, Yingsheng Zheng

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 252, P. 111249 - 111249

Published: Feb. 8, 2024

Language: Английский

Citations

16

The impact of urban morphology on land surface temperature under seasonal and diurnal variations: marginal and interaction effects DOI

Zi Wang,

Rui Zhou, Yu Yang

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112673 - 112673

Published: Feb. 1, 2025

Language: Английский

Citations

2

Natural-anthropogenic environment interactively causes the surface urban heat island intensity variations in global climate zones DOI Creative Commons
Yuan Yuan, Chengwei Li,

Xiaolei Geng

et al.

Environment International, Journal Year: 2022, Volume and Issue: 170, P. 107574 - 107574

Published: Oct. 8, 2022

The inconstant climate change and rapid urbanization substantially disturb the global thermal balance induce severe urban heat island (UHI) effect, adversely impacting human development health. Existing literature has revealed UHI characteristics driving factors at an scale, but interactions between main of a grid scale assessment on context zones remain unclear. Therefore, based multidimensional climatic socio-economic statistical datasets, multi-time surface intensity (SUHI) was investigated in this study to analyze how natural-anthropogenic drivers affect variance SUHI vary their importance for changes other interaction factors. results show that mean value summer is higher than winter, daytime nighttime seasonal daily scale. SUHIs different have significant differences. When analyzing drivers' contributions with LightGBM model SHAP algorithm, we know monthly precipitation (PREC), estimated population (POP) pressure (PRES) are three major SUHI. mainly PREC, POP anthropogenic emission (AHE), influence rules natural driversare mostly opposite daytime. This highlights fundamental role background designing strategies. Irrigation or artificial rainfall will be effective mitigate low areas, while it more reduce AHE high areas. In where greening can difficult most developed cities, reducing AHE, increasing per capita GDP controlling may also contribute alleviating provides ideas developing responsive mitigation policies realistic setting.

Language: Английский

Citations

59

Seasonal effects of urban morphology on land surface temperature in a three-dimensional perspective: A case study in Hangzhou, China DOI
Sijia Han, Hao Hou, Ronald C. Estoque

et al.

Building and Environment, Journal Year: 2022, Volume and Issue: 228, P. 109913 - 109913

Published: Dec. 12, 2022

Language: Английский

Citations

47

How does urban heat island differ across urban functional zones? Insights from 2D/3D urban morphology using geospatial big data DOI
Anqi Lin, Hao Wu, Wenting Luo

et al.

Urban Climate, Journal Year: 2023, Volume and Issue: 53, P. 101787 - 101787

Published: Dec. 14, 2023

Language: Английский

Citations

36

Contrasting determinants of land surface temperature in three megacities: Implications to cool tropical metropolitan regions DOI Creative Commons
Linlin Lu, Peng Fu, Ashraf Dewan

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 92, P. 104505 - 104505

Published: March 5, 2023

Megacities in tropical regions are among the urban centers most vulnerable to increasingly intense heatwaves. However, complex interactions between characteristics and thermal environments yet be fully understood. Here, we investigated relationship land surface temperature (LST) for three megacities savannah climate zone, Chennai, Dhaka, Kolkata. LST values were retrieved from Landsat 8 data, features constructed using digital models, building footprints, satellite imagery. Model-agnostic approaches adopted analyze impacts of on LST. The boosted regression tree (BRT) model was used capture nonlinear effects six important factors changes. dominant influencing normalized difference built-up index, albedo, vegetation index. Building roofs, roads, other hardscapes with high-albedo materials preferred alleviating heat island effect Dhaka placement parks woody an area larger than 0.6 ha produced effective cooling effect. In Chennai Kolkata, policies increase sky view factor recommended. application BRT integrated data provides unique insights resilience planning.

Language: Английский

Citations

33

Scale-dependent and season-dependent impacts of 2D/3D building morphology on land surface temperature DOI
Fengxiang Guo, Uwe Schlink, Wanben Wu

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 97, P. 104788 - 104788

Published: July 10, 2023

Language: Английский

Citations

29

Quantifying threshold and scale response of urban air and surface temperature to surrounding landscapes under extreme heat DOI Open Access
Xinyu Bai, Zhaowu Yu, Benyao Wang

et al.

Building and Environment, Journal Year: 2023, Volume and Issue: 247, P. 111029 - 111029

Published: Nov. 16, 2023

Language: Английский

Citations

27

Quantifying the cumulative cooling effects of 3D building and tree shade with high resolution thermal imagery in a hot arid urban climate DOI
Yujin Park, Qunshan Zhao, Jean‐Michel Guldmann

et al.

Landscape and Urban Planning, Journal Year: 2023, Volume and Issue: 240, P. 104874 - 104874

Published: Sept. 7, 2023

Language: Английский

Citations

26

Impediments in BIM implementation for the risk management of tall buildings DOI Creative Commons
Ahsan Waqar, Idris Othman, Nasir Shafiq

et al.

Results in Engineering, Journal Year: 2023, Volume and Issue: 20, P. 101401 - 101401

Published: Sept. 5, 2023

This study background highlights the increasing need for effective management of risks in tall buildings due to their complexity and potential hazards. BIM has been accepted as a solution buildings; however, its adaptation slow several obstacles. The purpose this is identify validate impediments risks. adopted two-step methodology, consisting exploratory factor analysis (EFA) structural equation modelling (SEM). data were collected through an online survey professionals involved design, construction, management. Results reveal six significant impediments: technical, integration, operational, creativity, privacy, standardization. findings provide theoretical contributions literature by identifying validating buildings. Practical implications suggest that organizations address identified ensure successful contributes understanding obstacles provides insights overcome these impediments.

Language: Английский

Citations

23