Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China
The exacerbated thermal environment in cities, with the urban heat island (UHI) effect as a
prominent example, has been the source of many adverse urban environmental issues …
prominent example, has been the source of many adverse urban environmental issues …
[HTML][HTML] AI analytics for carbon-neutral city planning: A systematic review of applications
Artificial intelligence (AI) has become a transformative force across various disciplines,
including urban planning. It has unprecedented potential to address complex challenges. An …
including urban planning. It has unprecedented potential to address complex challenges. An …
Spatiotemporal patterns of the impact of surface roughness and morphology on urban heat island
As important determinants of urban thermal environment, surface roughness and
morphology have been extensively studied for sustainable urban development. In this study …
morphology have been extensively studied for sustainable urban development. In this study …
Regional heatwave prediction using graph neural network and weather station data
Heatwaves lead to catastrophic consequences on public health and the economy. Accurate
and timely predictions of regional heatwaves can improve climate preparedness and foster …
and timely predictions of regional heatwaves can improve climate preparedness and foster …
Multi-objective optimization of shading devices using ensemble machine learning and orthogonal design of experiments
Buildings are significant sources of energy consumption due to the non-optimal
configuration of shading devices that results in excessive solar heat gain. Amorphous …
configuration of shading devices that results in excessive solar heat gain. Amorphous …
Time series forecasting of pedestrian-level urban air temperature by LSTM: Guidance for practitioners
Forecasting urban air temperature (Ta) is crucial due to its substantial socio-economic and
environmental implications. Machine learning approaches, particularly neural networks with …
environmental implications. Machine learning approaches, particularly neural networks with …
[HTML][HTML] Urban systems exploration: A generic process for multi-objective urban planning to support decision making in early design phases
The competition for limited urban spaces due to the growing demand for both living space
and green areas causes conflicts in urban development. This paper aims to provide urban …
and green areas causes conflicts in urban development. This paper aims to provide urban …
Research on a surrogate model updating-based efficient multi-objective optimization framework for supertall buildings
Z Wang, JA Mulyanto, C Zheng, Y Wu - Journal of Building Engineering, 2023 - Elsevier
In order to solve the multi-objective optimization problems of supertall buildings (such as
structural design optimization, aerodynamic shape optimization, etc.) with sizable design …
structural design optimization, aerodynamic shape optimization, etc.) with sizable design …
Assessing impacts of environmental perturbations on urban biogenic carbon exchange in the Chicago region
Carbon dioxide (CO2) quantification is critical for assessing city‐level carbon emissions and
sustainable urban development. While urban vegetation has the potential to provide …
sustainable urban development. While urban vegetation has the potential to provide …
Causal mediation of urban temperature by geopotential height in US cities
Excessive warming is the source of many environmental challenges in urban areas. Finding
causal interactions between urban ambient temperature and other meteorological variables …
causal interactions between urban ambient temperature and other meteorological variables …