Research Areas

Public Transportation

Developing a predictive statistical framework to efficiently estimate the ability of a bike-sharing system to serve incoming bike requests.
Understanding and expressing public transit system utilization based on fundamental travel behavior.
Developing the tools needed to process immense amounts of data, develop new performance metrics based on the data collected, and propose methods to enhance performance.
Incorporating data analytics into paratransit planning and operations is a promising approach for increasing their cost-effectiveness.