Abstract
In USA, individual transit agencies are operating independently. In regional transit systems that consist of multiple transit agencies, lack of coordination and cooperation could possibly jeopardize system performance. Inter-agency transfer quality is one of the critical aspect that affects efficiency and reliability of regional transit systems. This paper has proposed a practical data-driven approach for analyzing and evaluating inter-agency transfer performance for transit agencies. This study has leveraged General Transit Feed Specification (GTFS) data to obtain geographical locations of stops, trip information of routes and schedules arrangement of buses. A generalized approach has been proposed with GTFS data input. This paper also uses the City of Long Beach as a case study to analyze inter-agency transit between two regional transit agencies, namely Long Beach Transit (LBT) and Orange County Transportation Authority (OCTA). Findings have indicated a different transfer waiting time for peak and non-peak hours, as well as weekdays and weekends. Both the approach and results are meaningful for transit schedule coordination, route planning and regional transit integration.