AINeutralarXiv – CS AI · 14h ago5/10
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GPS-Enhanced Tourist Mobility Modeling with Seasonal Spatial Priors and LLM-Based Activity Chain Generation
Researchers present a four-stage framework for modeling tourist mobility in urban areas using GPS data, spatial priors, demographic analysis, and LLM-based activity generation. The approach privacy-preservingly synthesizes individual tourist schedules that align with survey data and observed visitation patterns, demonstrated through case study analysis in Tokyo.