人工智能辅助国土空间诊断的理论范式建构与思行方法变革OACHSSCD

Faced with the complex"urban diseases"within territorial spaces,territo-rial spatial diagnosis(TSD)often resorts to fragmented,symptomatic solutions and arbitrary decision-making amid the rapid practice of territorial spatial planning.This tendency risks rendering territorial spatial planning detached from reality,akin to castles in the air.Recently,Artificial Intelligence(AI)technologies,characterized by higher-level,holistic,and complex reasoning,as well as ecological rationality,have demonstrated significant potential in enhancing the scientific rigor of territorial spa-tial planning.However,a critical gap remains:the lack of effective theoretical para-digms and practical methodologies for AI-assisted TSD.This paper builds on the theoretical foundations and core tasks of TSD.It systematically reviews the evolution-ary trajectory of TSD technologies and identifies the key challenges confronting their intelligent advancement.Based on this analysis,the paper constructs a novel Dual-Helix paradigm and a Diamond scaffolding framework for TSD,underpinned by hy-brid human-machine intelligence.Furthermore,the paper proposes five key directions for transformative shifts in thinking approaches and six systems for enhancing practi-cal methods following the integration of AI into TSD.These advancements offer sub-stantial promise for systematically addressing the inherent limitations of traditional di-agnostic approaches.Consequently,they are anticipated to significantly elevate the ra-tionality of territorial spatial planning,ultimately fostering the sustainable develop-ment of territorial spaces.