Xinyu Wang

Large language models for evidence-based planning: Evaluating an SLR-RAG framework for knowledge synthesis of urban vacant land

This study contributes to the field by elucidating the capabilities and limitations of LLMs and RAG in urban studies, highlighting that while text-only retrieval is insufficient for context-rich analysis, future advancements in spatially aware hybrid retrieval offer a promising pathway forward.