AI-Driven Urban Planning: Integration Paths and Science Communication Strategies in Smart City Development

Abstract:

This study explores the integration of artificial intelligence (AI) in urban planning and its science communication mechanisms across 12 smart cities globally (2022–2025). By analyzing AI-driven mobility optimization, carbon neutrality governance, and public participation systems, it identifies three core communication pathways: data visualization, multi-agent simulation, and citizen co-creation. Results indicate that targeted science communication enhances public acceptance of AI urban projects by 47%. The research provides actionable frameworks for policymakers and communicators to bridge AI technology and urban sustainability.