CURA was well-represented at the 2019 American Association of Geographers annual meeting, which took place in Washington DC in early April.
Graduate research associate Luyu Liu presented his work modeling transfer risk in the Central Ohio transit network. The paper, titled Measuring public transit transfer risk using high-resolution schedule and real-time bus location data is an in depth analysis looking at the transfer between routs in a public transit system. Luyu looked at high-resolution schedule and real-time vehicle location data to develop two measures to assess transfer risk and time penalties in a public transit system. Transfer Risk (TR) measures the proportion of missed transfers and Average Total Time Penalty (ATTP) shows overall time loss compared to the schedule. Luyu illustrated these measures using schedule and real-time vehicle data published via the General Transit Feed Specification (GTFS) for the transit authority in Columbus, Ohio. He aggregated, visualized and analyzed each index under different spatial and temporal resolutions. He also simulated the impacts of dedicated bus lanes (DBLs) on the overall transfer performance and different types of transfers. The results demonstrate the potential to apply the TR and ATTP indexes to assess the impacts of delays on transfers and guide planning and decision making to improve on-time performance.
Co-author: Harvey Miller
Sample Screenshot of Transfer Risk in minutes