Evidence map›Paper›PMID 36910544›Full record

ArticleCase studies on transport policy2023

Evaluating public transit agency responses to the Covid-19 pandemic in seven U.S. regions.

Alex Karner, Seth LaRue, Willem Klumpenhouwer, Dana Rowangould

Abstract read
In one paragraph

Article in Case studies on transport policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Alex KarnerGraduate Program in Community and Regional Planning, The University of Texas at Austin, Austin, TX 78712, United States.
Seth LaRueGraduate Program in Community and Regional Planning, The University of Texas at Austin, Austin, TX 78712, United States.
Willem KlumpenhouwerDepartment of Civil and Mineral Engineering, University of Toronto, Toronto, ON, Canada.
Dana RowangouldDepartment of Civil Engineering, University of Vermont, Burlington, VT, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Covid-19 pandemic's impacts on public transit will be felt for years, if not longer. In a few short weeks in 2020, the nature of day-to-day travel shifted around the world. Many of those who were able to stay at home did so while a large majority of those who needed to continue traveling moved away from public transit if they had alternatives available. For their part, public transit agencies responded with rapid service adjustments during March 2020, making varying efforts to communicate with riders and the public during this time so that users could understand how service was changing and how it would affect them. The impacts of the pandemic were dramatic-public transit ridership dropped by nearly 80% in April 2020 across the United States as the unemployment rate reached 14%-worse than any month during the Great Recession. But agency responses were nonuniform. In this paper, we characterize how seven public transit operators in the United States-those responsible for 55% of all unlinked trips in 2019-adapted service during the pandemic using quantitative performance information and a review of agency press releases. We also assess impacts on riders for whom public transit is essential. We find that pandemic-era changes largely did not change existing disparities between groups, suggesting that baseline inequities did not worsen as overall service levels fell. Understanding transit agency behaviors using different data sources is a first step towards linking agency responses with outcomes. This type of analysis that blends quantitative performance analysis with qualitative data can also provide insight into how agencies can adapt to future crises.

Indexed as

Covid-19 pandemicMixed methodsMobility justiceTransit service

Identifiers

PMID36910544
PMCPMC9987603

What OpenQuestion holds

Textmetadata
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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.