城市人工智能与基础模型

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

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

Modeling urban perception with large language models: A systematic review

Mapping vitality in Xi'an: Integrating Jacobs' criteria with machine learning for urban regeneration

The Prediction Optimization Bridge (POB): A Surrogate Assisted Random Forest–NSGA-II Framework for Energy Efficient Vehicle Routing

Exploring the interplay of sustainability and cultural values in urban design: Analyzing contemporary landscapes through machine learning (ML) insights modeling

Toward evidence-based zoning: A machine learning framework for land use compatibility assessment

Exploring the nonlinear impacts of the intra-urban built environment on carbon emissions using an interpretable ensemble machine learning framework

Urban Road Crash Severity Prediction Using Explainable Machine Learning and Spatial Hotspot Analysis: Evidence from Loja, Ecuador

Regional Innovation Disparities in Kazakhstan: Input–Output Misalignment in an Official Panel, 2014–2025

Adapting large language models for urban trip purpose inference: A domain-informed textual representation and fine-tuning framework