K2

LLM-assisted travel behavior analysis for eldery mobility: New approach for decision support

This pilot project explores how large language models (LLMs) can help overcome current limitations in combining diverse and multimodal data sources. The aim is to deepen understanding of travel behavior and strengthen data-driven insights for planning, policy, and sustainable urban development. A framework will be developed to analyze travel patterns among specific social groups, with a focus on older adults (65+) in Malmö.