Leveraging Large Language Models for Better Understanding Bus Passenger Complaints Based on Citizen Hotline Data Mining

Accepted by 105th TRB Annual Meeting, Washington, DC (2025)

This research applies large language models to analyze and understand bus passenger complaints from citizen hotline data, providing insights for improving public transportation services.