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.
A review of human mobility research based on big data and its implication for smart city development.ISPRS International Journal of Geo-Information, 10(1):13, 2020
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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.