Document Type
Technical Report
Publication Date
2-2024
Keywords
Transit, Passenger Miles Travelled, Delay, Vehicle Miles Travelled
Digital Object Identifier (DOI)
https://doi.org/10.5038/CUTR-NICR-Y3-1-10
Abstract
The COVID-19 pandemic has had a profound impact on travel behavior, particularly in the realm of public transportation. This report aims to assess the long-term effects of the pandemic on the transportation system, with a focus on transit ridership and congestion in dense urban areas. The research conducted in this project, including the analysis of transit data, estimation of daily passenger miles traveled, and evaluation of mode shares, provides valuable insights for understanding the effects of the pandemic on transportation systems. The research team categorized ten modes of public transportation into four categories: bus, heavy rail, light rail, and monorail. Top metropolitan areas in the U.S. were further subdivided into very large, large and medium based on the transit usage. Overall larger metros with extensive transit systems, such as New York and Chicago, are expected to recover faster compared to medium-sized metros that rely primarily on light rail or buses for transportation. This is because the availability of more transit options encourages additional commuters to use public transportation, reducing congestion on roads.
Scholar Commons Citation
Khan, Mahim; Gupta, Vivek; Brian, Dunn; and Albert, Luke, "Predicting Travel and Congestion in Post-Pandemic America: Phase 2 Implications for Urban Mobility" (2024). Research Reports. 46.
https://digitalcommons.usf.edu/cutr_nicr/46
Policy brief
