Urban Planning

Urban planning research increasingly leverages artificial intelligence to address challenges in designing sustainable and equitable cities. Current efforts focus on developing AI models, including generative adversarial networks (GANs), diffusion models, and large language models (LLMs), to automate tasks like 3D city modeling, identifying blighted properties, and generating land-use plans that incorporate diverse stakeholder input. These advancements aim to improve the efficiency and inclusivity of urban planning processes, leading to more effective and data-driven decision-making for urban development and management. The integration of AI also facilitates the analysis of complex urban systems, such as transportation networks and their impact on environmental sustainability.