城市数据科学与方法

Evaluating urban street views through collective emotional perception from multimodal social media cityscape posts: An R-ECoT-based interpretable framework

Governing Green-Line Transport for Sustainable and Resilient Cities: Traffic Modeling and Urban Mobility Analysis

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

Urban digital twins as spatiotemporal synchronization systems: a four-layer framework for sustainable and resilient cities

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

Generative AI for urban planning: Designing streetscapes from street-view imagery using diffusion models

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

From Smart Tourism to Metatourism: A Systematized Integrative Review of Simulation-Based Governance in Urban Cultural Tourism

Assessing the association between street view–derived perceived liveliness and street thefts

AgentAccess: Agent-Based Model for Place-Based Spatial Accessibility

Understanding Leapfrog Development for Better Urban Governance: Agent-Based Modeling and Parcel-Level Evidence

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