ArticleTransportation research. Part D, Transport and environment2022
Executive orders or public fear: What caused transit ridership to drop in Chicago during COVID-19?
Article in Transportation research. Part D, Transport and environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Who continued travelling by bus in different periods of COVID-19? A data-driven analysis from Shanghai, China.PloS one · 2025Article
- Article
- A multiple mediation analysis to untangle the impacts of COVID-19 on nationwide bus ridership in the United States.Transportation research. Part A, Policy and practice · 2023Article
- Sustainable response strategy for COVID-19: Pandemic zoning with urban multimodal transport data.Journal of transport geography · 2023Article
- Will transit recover? A retrospective study of nationwide ridership in the United States during the COVID-19 pandemic.Journal of public transportation · 2023Article
- How the COVID-19 pandemic changes daily commuting routines - Insights from the German Mobility Panel.Case studies on transport policy · 2022Article
- Pandemic transit: examining transit use changes and equity implications in Boston, Houston, and Los Angeles.Transportation · 2022Article
- Impact of COVID-19 on private driving behavior: Evidence from electric vehicle charging data.Transport policy · 2022Article
- Neighborhood, built environment and resilience in transportation during the COVID-19 pandemic.Transportation research. Part D, Transport and environment · 2022Article
- Longitudinal and spatial analysis of Americans' travel distances following COVID-19.Transportation research. Part D, Transport and environment · 2022Article
- A systematic review of COVID-19 transport policies and mitigation strategies around the globe.Transportation research interdisciplinary perspectives · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.