Evaluating the Influence of Ride Sourcing Services on Travel Patterns and Transportation Networks in Toronto

This study provides a detailed analysis of the evolving impact of ride-sourcing platforms such as Uber and Lyft on travel behavior and mobility patterns within Toronto. Utilizing origindestination data from approximately 100 million trips recorded between 2016 and 2019, we examine spatial and temporal trends in ride-sourcing activities. Our methodology integrates these data with car travel times, public transportation networks, and city regulations to assess the influence of ride-sourcing on overall traffic flow, public transit usage, and cyclist safety. Through route analysis and trip linkage techniques, we estimate that ride-sourcing vehicles contributed to 5–8% of the total daily vehicle kilometers traveled (VKT) in September 2018—approximately double the figures from October 2016. While ride-sourcing activity surged, our findings indicate that downtown travel times remained largely stable. Additionally, curbside pick-up and drop-off patterns highlight the necessity for improved curb management strategies to enhance safety and efficiency. These insights provide a foundation for future policy decisions regarding urban mobility and ride-sourcing regulation.