Analyzing Interest Structures of Regional Railways by Demand Type with LLM

Key Points

• Demand patterns of regional railways differ significantly across various routes and user types, highlighting unique characteristics.
• Analysis of SNS data with a large language model enables the automatic extraction of user intent regarding railway usage.
• Utilization characteristics show potential demand in areas usually deemed underserved by current services, indicating hidden needs.
• Findings may guide effective policy planning based on real user feedback and improve regional transport services.

Abstract