PhD Candidate
University of Massachusetts, Amherst
Amherst, Massachusetts, United States
As a PhD candidate, my research centers on fare evasion in public transit, specifically in the MBTA bus system. This project involves analyzing fare non-interaction incidents where passengers bypass fare payment. By leveraging data from Automatic Fare Collection (AFC) and Automatic Passenger Counting (APC) systems, I have been developing methods and models to estimate the rates of non-interaction and the associated revenue losses.
I also have a background in traffic safety research, with my MSc thesis focused on predicting and modeling traffic accident severity using statistical methods. My research aimed to explore factors influencing crash severities, employing models like multilevel logistic regression to gain insights into the variables that contribute to injury risks in traffic accidents. This experience gave me a strong foundation in statistical modeling, particularly for traffic safety analysis.
In addition, I have experience in various traffic operational management studies and urban planning projects, where I have contributed to projects that seek to improve traffic flow, enhance safety, and promote sustainable urban transportation. This diverse experience has allowed me to engage with different aspects of traffic and urban planning, further broadening my understanding of these fields.
Disclosure information not submitted.
Fare Payment Compliance Monitoring and Lost Revenue Estimation using Automatically Collected Data
Tuesday, June 10, 2025
9:00 AM – 9:15 AM MT