urban-region-profiling

This paper proposes UrbanAgent, an agentic framework that reframes urban region profiling as a reasoning-driven inference problem using multi-agent collaborative reasoning and tool-augmented evidence retrieval. It outperforms baselines on global urban datasets for carbon emissions, GDP, and population estimation, achieving an average 8.1% improvement in R².