Impact Of Ride-Sharing In New York City

The project will develop a citywide data-driven transportation simulation modeling framework for probabilistic assessment of the associated mode-shift and resulting environmental, social and economic impacts of ride-sharing solutions (e.g. UberPOOL, Lyft shared etc) on urban transportation system in New York City efficiently leveraging available partial transportation data. The impacts in question include: travel time cut for passengers, reduction of traffic, gas consumption/ emissions by type (CO, NOx, PM2.5), travel time/cost savings for passengers, increased earnings for Lyft and Uber drivers, jobs for for-hire-vehicle drivers. Once developed, the new framework is readily applicable to the predictive assessment of the impacts of many other transportation pricing and policy decisions. The project is conducted in collaboration with NYU C2SMART Center under support of US Department of Transportation and Arcadis.A project page could be accessed at impact-ride-sharing-nyc
A related capstone project of our students’ team on assessing the impact of Manhattan Congestion Surcharge could be found at Manhattan_Congestion_Capstone_Website