城市人工智能与基础模型

Perception and interregional flows of cultural ecosystem services in a megacity: Integrating large language models and the metacoupling framework

Artificial intelligence and the city: Urbanistic perspectives on AI , edited by Federico Cugurullo, Federico Caprotti, Matthew Cook, Andrew Karvonen, Pauline McGuirk, and Simon Marvin

Exploring Spatial Inequities and Livability: A Mixed-Methods Study Using Artificial Intelligence and Community Insights

From Frankenstein to Gulliver urbanism: Reframing AI and scale in urban theory

“Bypassing” or “nearby care”? Deconstructing and simulating patient hospital choice in China’s hierarchical healthcare system via explainable machine learning and agent-based modeling

Complex built environment and explicit distance threshold: A machine learning diagnosis of commuting active travel behavior

Measuring the level of circular economy in cities in alignment with sustainable development goal 11: Integration of machine learning algorithms and analytical hierarchical-network processes. A case study in Seville

Toward safer micromobility: Identifying urban e-scooter crash severity factors through automated machine learning and crash narrative analysis

Integrating machine learning and network analysis for spatial distribution evaluation and renewal prioritization of mega-city park systems

Using machine learning to unravel the driving mechanisms of carbon balance in resource-based cities: a “pattern-process-service-sustainability” framework

Assessing vulnerability to compound heatwave-ozone events using explainable machine learning: Evidence from the Greater Bay Area, China

Machine learning for climate-responsive urban design and planning: a scoping review

From optimization to generation: A machine learning and morphology-constrained GAN framework for improving energy and thermal performance in residential clusters

Investigating the Nonlinear and Spatially Heterogeneous Impacts of Urban Form on Land Surface Temperature Using Geographic Explainable Artificial Intelligence

Temporal non-stationarity limits urban heat model transferability: Evidence from interpretable spatial machine learning across ten highly urbanized bay areas (1990–2022)

A geospatial decision support system for infrastructure planning: a GIS-machine learning-MCDM framework with an application to EV charging station planning

Monitoring and forecasting of urban air pollution and exceedance events: implications for environmental risk assessment and early warning communication using machine learning in sustainable cities

Forecasting Urban Heat Island hotspots using spatially aware machine learning: Explainable multi-model prediction with spatial validation and uncertainty analysis

A comparative machine learning assessment for urban flood susceptibility modeling and future flood susceptibility projections in Dhaka Metropolitan Area (DMA), Bangladesh

Space, sentiment, and social comparison: Decoding urban park satisfaction with Large Language Models