Evidence map›Paper›PMID 38602901›Full record

ArticleTransportation research record2023

Impact of COVID-19 on Public Transit Accessibility and Ridership.

Michael Wilbur, Afiya Ayman, Amutheezan Sivagnanam, Anna Ouyang, Vincent Poon, Riyan Kabir, Abhiram Vadali, Philip Pugliese, Daniel Freudberg, Aron Laszka and 1 more

Abstract read
In one paragraph

Article in Transportation research record, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed.

  1. Article
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  10. COVID-19 public transit precautions: Trade-offs between risk reduction and costs.Transportation research interdisciplinary perspectives · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
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  19. Neighborhood, built environment and resilience in transportation during the COVID-19 pandemic.Transportation research. Part D, Transport and environment · 2022
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Michael WilburVanderbilt University, Nashville, TN.ORCID https://orcid.org/0000-0002-7978-405X
Afiya AymanUniversity of Houston, Houston, TX.
Amutheezan SivagnanamUniversity of Houston, Houston, TX.ORCID https://orcid.org/0000-0002-4295-529X
Anna OuyangVanderbilt University, Nashville, TN.
Vincent PoonUniversity of Houston, Houston, TX.
Riyan KabirVanderbilt University, Nashville, TN.ORCID https://orcid.org/0000-0002-2767-7981
Abhiram VadaliVanderbilt University, Nashville, TN.ORCID https://orcid.org/0000-0002-2465-7088
Philip PuglieseChattanooga Area Regional Transportation Authority, Chattanooga, TN.ORCID https://orcid.org/0000-0002-0565-8245
Daniel FreudbergNashville Metropolitan Transit Authority, Nashville, TN.ORCID https://orcid.org/0000-0003-3465-9527
Aron LaszkaUniversity of Houston, Houston, TX.
Abhishek DubeyVanderbilt University, Nashville, TN.ORCID https://orcid.org/0000-0002-0168-4948

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 has radically transformed urban travel behavior throughout the world. Agencies have had to provide adequate service while navigating a rapidly changing environment with reduced revenue. As COVID-19-related restrictions are lifted, transit agencies are concerned about their ability to adapt to changes in ridership behavior and public transit usage. To aid their becoming more adaptive to sudden or persistent shifts in ridership, we addressed three questions: To what degree has COVID-19 affected fixed-line public transit ridership and what is the relationship between reduced demand and -vehicle trips? How has COVID-19 changed ridership patterns and are they expected to persist after restrictions are lifted? Are there disparities in ridership changes across socioeconomic groups and mobility-impaired riders? Focusing on Nashville and Chattanooga, TN, ridership demand and vehicle trips were compared with anonymized mobile location data to study the relationship between mobility patterns and transit usage. Correlation analysis and multiple linear regression were used to investigate the relationship between socioeconomic indicators and changes in transit ridership, and an analysis of changes in paratransit demand before and during COVID-19. Ridership initially dropped by 66% and 65% over the first month of the pandemic for Nashville and Chattanooga, respectively. Cellular mobility patterns in Chattanooga indicated that foot traffic recovered to a greater degree than transit ridership between mid-April and the last week in June, 2020. Education-level had a statistically significant impact on changes in fixed-line bus transit, and the distribution of changes in demand for paratransit services were similar to those of fixed-line bus transit.

Indexed as

bus transit systemsdata analysisdata and data sciencepublic transportationurban transportation data and information systems

Identifiers

PMID38602901
PMCPMC10107069

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.