First Advisor

Aaron Golub

Term of Graduation

Fall 2024

Date of Publication

10-21-2024

Document Type

Thesis

Degree Name

Master of Urban Studies (M.U.S.)

Department

Urban Studies and Planning

Language

English

Subjects

COVID-19, Transit demand, Transit recovery, Transit ridership, Two-stage least squares regression

Physical Description

1 online resource (iv, 48 pages)

Abstract

The COVID-19 pandemic significantly disrupted public transit systems across the US, resulting in substantial declines in ridership and revenue. At the same time, ridership has increased to different levels in cities. This thesis explores the determinants of transit recovery in American cities post-pandemic. It analyzes data from the National Transit Database (NTD) and employs a two-stage least squares (2SLS) regression model first laid out by Taylor et al. (2008) for data from 2000. Similar to the results of that paper, the thesis finds strong correlation between transit ridership and variables for transit supply and urban and demographic characteristics for 2019 and 2022. However, the same relationship doesn't exist for a dependent variable measuring transit recovery after the pandemic, indicating the need for a different approach to exploring the drivers of recovery.

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Persistent Identifier

https://archives.pdx.edu/ds/psu/42992

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