An MCP-enhanced chain-of-thought LLM framework generates individual daily activity-travel chains whose aggregate patterns resemble real mobile signaling data in the Lujiazui case study.
Human mobility data and analysis for urban resilience: A systematic review.Environment and Planning B: Urban Analytics and City Science, 49(5):1507–1535, 2022
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A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models
An MCP-enhanced chain-of-thought LLM framework generates individual daily activity-travel chains whose aggregate patterns resemble real mobile signaling data in the Lujiazui case study.