LLM-assisted travel behavior analysis for eldery mobility: New approach for decision support
Research Project
Facts
- Contact person:
- Arezoo Sarkheyli-Hägele
- Financer:
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- National Knowledge Centre for Collective Mobility (K2)
- Responsible at MaU:
- Arezoo Sarkheyli-Hägele
- Project members at MaU:
- Time frame:
- 01 September 2025 - 31 August 2026
- Faculty/department:
- Research environment :
- Research subject:
About the project
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 behaviour and strengthen data-driven insights for planning, policy, and sustainable urban development. A trustworthy framework will be developed to analyse travel patterns among specific social groups, with a focus on older adults (65+) in Malmö.