We encourage submissions on a broad range of topics related to AI in urban planning, including but not limited to:

• Representation and Quantification of Urban Environments
  • Representation learning for spatio-temporal data
  • Multimodal data fusion
  • Graph neural networks in urban form representation
  • Domain shift and generalization in urban data

• Human dynamics for urban planning
  • Reconceptualizing human behavior using AI models
  • Human-robot/AI interactions
  • Exploring human dynamics beyond physical spaces through AI and virtual environments

• Predictive Modeling and Forecasting
  • Urban time series forecasting
  • Spatio-temporal forecasting (e.g., energy, traffic, crowd flow)
  • Demographic and climate modeling

• Generative Modeling and Large AI Models for Urban Planning
  • Urban form and land use configuration
  • Transportation system design
  • Architecture and landscape design

• Evaluation and Simulation
  • Reinforcement learning-powered simulations
  • LLM agents for evaluation and stakeholder role-play
  • Human-in-the-loop simulation

• Ethics and Fairness in AI for Urban Planning
  • Fairness, bias, transparency, and accountability
  • Community engagement and data privacy

• Applications, Systems, and Tools
  • Urban digital twins, AR/VR in urban planning
  • Planning support systems for policymakers
  • Carbon neutrality and utility/resource allocation