Leveraging generative AI for urban digital twins: a sco** review on the autonomous generation of urban data, scenarios, designs, and 3D city models for smart city …

H Xu, F Omitaomu, S Sabri, S Zlatanova, X Li, Y Song - Urban Informatics, 2024 - Springer
The digital transformation of modern cities by integrating advanced information,
communication, and computing technologies has marked the epoch of data-driven smart city …

LCZ-based city-wide solar radiation potential analysis by coupling physical modeling, machine learning, and 3D buildings

X Chen, W Tu, J Yu, R Cao, S Yi, Q Li - Computers, Environment and …, 2024 - Elsevier
Addressing climate change and urban energy problems is a great challenge. Building
Integrated Photovoltaics (BIPV) plays a pivotal role in energy conservation and carbon …

[HTML][HTML] Generative AI models for different steps in architectural design: A literature review

C Li, T Zhang, X Du, Y Zhang, H **e - Frontiers of Architectural Research, 2024 - Elsevier
Recent advances in generative artificial intelligence (AI) technologies have been
significantly driven by models such as generative adversarial networks (GANs), variational …

Evaluating urban–rural gradients and urban forms in metropolitan areas: a local climate zone approach with future spatial simulation

S Zhou, M Li, J **e - Sustainable Cities and Society, 2024 - Elsevier
Traditional analyses of urban–rural gradients and urban forms often encounter uncertainties
related to subjective urban center point selection, oversight of the three-dimensional city …

Disparities Between Residential and Commercial Zones in Air Quality Revealed by Location-Based Services

QM Jiang, Y Su, R Qiao, C Huang, X Liu, S Zhou… - Building and …, 2025 - Elsevier
This study contrasts the heterogeneity of land use impacts on air quality between residential
and commercial zones, supporting Sustainable Development Goals for sustainable cities …

[HTML][HTML] Revolutionizing solar energy resources: The central role of generative AI in elevating system sustainability and efficiency

R Mousavi, A Mousavi, Y Mousavi, M Tavasoli, A Arab… - Applied Energy, 2025 - Elsevier
Driven by growing environmental concerns, such as global warming and the depletion of
fossil fuels, the renewable energy industry, particularly solar energy, has risen to global …

[HTML][HTML] Dissecting the natural and human drivers of urban thermal resilience across climates

R Qiao, T Wu, Z Zhao, S Gao, T Yang, C Duan… - Geography and …, 2024 - Elsevier
In the context of current global warming, understanding urban thermal resilience (UTR)
dynamics across different climatic zones is crucial. This study aims to examine the complex …

Urban flooding damage prediction in matrix scenarios of extreme rainfall using a convolutional neural network

M Wang, H Fan, H Yuan, D Zhang, J Su, S Zhou… - Journal of …, 2024 - Elsevier
The pivotal role of quantitative risk assessment in managing urban stormwater is
underscored by the high spatial heterogeneity and complex non-stationarity complex of …

[HTML][HTML] Meta-Connectivity in Urban Morphology: A Deep Generative Approach for Integrating Human–Wildlife Landscape Connectivity in Urban Design

SY Huang, Y Wang, E Llabres-Valls, M Jiang, F Chen - Land, 2024 - mdpi.com
Traditional urban design often overlooks the synchronisation of human and ecological
connectivities, typically favouring corridors for ecological continuity. Our study challenges …

[HTML][HTML] SolarGAN for Meso-Level Solar Radiation Prediction at the Urban Scale: A Case Study in Boston

Y Lu, X Li, S Wu, Y Wang, W Qiu, D Chen, Y Li - Remote Sensing, 2024 - mdpi.com
Evaluating solar radiation distribution at the urban scale is crucial for optimizing the
placement and size of solar installations and managing urban heat. This study introduces a …