Learning universal human mobility patterns with a foundation model for cross-domain data fusion

This work presents a foundation model framework for universal human mobility patterns that leverages cross-domain data fusion and large language models to address limitations in existing approaches, and demonstrates adaptability through domain transfer techniques that ensure transferability across diverse urban contexts.