城市人工智能与基础模型

Deciphering the impacts of urban gray–green spaces on seasonal diurnal land surface temperature in a valley-basin city via explainable machine learning

Integrated AI framework combining routing, computer vision, and large language models to assess urban park access disparities among people with and without mobility impairments

Cooling accessibility of urban parks: Unraveling spatial disparity and nonlinear drivers using an improved polynomial-2SFCA model and explainable machine learning

Artificial intelligence-related technologies for municipal solid waste management: A review and new insights from smart cities

Attribution analysis of spatial mismatch between flood risk and public response: Insights from geospatial explainable artificial intelligence framework

Differentiated street greenery cooling of road surfaces: Spatially varying nonlinear effects from street view and geographically weighted machine learning

Identifying CO2 emission reduction strategies tailored to different building types by integrating multi-scale factors via deep learning

A comparative assessment of sampling strategies for tree-based machine learning models in urban flood susceptibility prediction with imbalanced data

Causal machine learning uncovers thresholds and seasonal reversal in landscape-meteorology-driven urban Heat-PM₂.₅ coupling

Revealing land-use functional patterns and associated factors in China’s high-speed rail station areas: Based on self-organizing maps and explainable machine learning algorithms

Machine learning for urban wind simulation: A comprehensive review

Deciphering the spatiotemporal dynamics and driving mechanisms of urban land green use efficiency in China: Insights from interpretable machine learning

Designing sponge cities in data-scarce contexts: a machine learning–enabled land cover dynamics and urban hydrologic response framework for nature-based flood resilience

Unveiling scale effects of the built environment on urban innovation with explainable machine learning

Quantifying the impacts of urban form on air pollution using Local Climate Zone classifications in Greater London: a machine learning approach

A causal deep learning framework for simulating the thermal impact of urban land use changes

Artificial intelligence policy and urban resilience: Evidence from a Quasi-natural experiment in China

Digital infrastructure construction and urban green transition: A quasi-natural experiment based on the broadband China policy using double machine learning

Fine-scale mapping of built-environment carbon emissions: A multi-source data fusion and explainable machine learning framework for high-density urban regions

Automating Consultation? Urban Planners and Chatbot-Based AI-Mediated Participation