智能规划的挑战与路径:理论与技术视角的思考OACHSSCD

This paper examines the core challenges and pathways of smart planning from an integrated perspective that combines planning theory and technology.It first distinguishes between"AI in Planning"and"AI for Planning",arguing that the latter presents fundamental challenges as it involves future-oriented judgment,value-based trade-offs,and action-oriented decision-making.By reviewing the historical interplay between planning theory and technology in Europe and North America,the paper ex-plains why planning technologies have repeatedly experienced a cycle of"high expec-tations and limited outcomes".It then proposes a three-dimensional framework inte-grating predictability,interpretability,and optimization potential.Against the backdrop of China's territorial spatial planning reform,the paper identifies three key missions for smart planning:strengthening planning as an applied science,promoting collabora-tive spatial governance,and fostering an open technological ecosystem.Finally,it proposes a Human-AI-Model Collaboration(HAIMC)pathway,emphasizing smart planning that integrates authentic value articulation,domain-specific models,and artifi-cial intelligence to support more effective planning decision-making.