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Executive orders or public fear: What caused transit ridership to drop in Chicago during COVID-19?
- Source :
-
Transportation Research Part D: Transport & Environment . Apr2022, Vol. 105, pN.PAG-N.PAG. 1p. - Publication Year :
- 2022
-
Abstract
- The COVID-19 pandemic has induced significant transit ridership losses worldwide. This paper conducts a quantitative analysis to reveal contributing factors to such losses, using data from the Chicago Transit Authority's bus and rail systems before and after the COVID-19 outbreak. It builds a sequential statistical modeling framework that integrates a Bayesian structural time-series model, a dynamics model, and a series of linear regression models, to fit the ridership loss with pandemic evolution and regulatory events, and to quantify how the impacts of those factors depend on socio-demographic characteristics. Results reveal that, for both bus and rail, remote learning/working answers for the majority of ridership loss, and their impacts depend highly on socio-demographic characteristics. Findings from this study cast insights into future evolution of transit ridership as well as recovery campaigns in the post-pandemic era. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13619209
- Volume :
- 105
- Database :
- Academic Search Index
- Journal :
- Transportation Research Part D: Transport & Environment
- Publication Type :
- Academic Journal
- Accession number :
- 156078583
- Full Text :
- https://doi.org/10.1016/j.trd.2022.103226