The 1st Workshop on AI for Urban Planning aims to bring together researchers, practitioners, and policymakers to explore innovative AI-driven solutions for the multifaceted challenges in urban planning. As cities face rapid urbanization and the pressing need for sustainability, there is an urgent demand for advanced strategies in better land utilization, resource optimization, infrastructure development, improved equity, data-driven policymaking, as well as the better understanding of complex interdependencies between physical and virtual spaces. This workshop will delve into the latest AI technologies to build sustainable, diverse, and human-centric cities of the future.

The workshop is held in conjunction with the 39th Annual AAAI Conference on Artificial Intelligence (AAAI-2025), one of the world's leading AI conferences. Organized by the Association for the Advancement of Artificial Intelligence, AAAI is a key platform where researchers, practitioners, and industry experts present groundbreaking advancements and explore emerging trends in AI. This partnership provides the workshop with a vital forum for interdisciplinary knowledge exchange, fostering collaboration between AI researchers, urban planners, and policymakers.

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