Evidence map›Paper›PMID 32915851›Full record

ArticlePloS one2020

Ridehailing and alcohol-involved traffic fatalities in the United States: The average and heterogeneous association of uber.

Noli Brazil, David Kirk

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Triboelectric Nanogenerators for Preventive Health Monitoring.Nanomaterials (Basel, Switzerland) · 2024
    Review
  3. Review
  4. Article
  5. Ride-Hailing and Road Traffic Crashes: A Critical Review.American journal of epidemiology · 2022
    Review
  6. Rideshare Trips and Alcohol-Involved Motor Vehicle Crashes in Chicago.Journal of studies on alcohol and drugs · 2021
    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

2 authors.

Noli BrazilDepartment of Human Ecology, University of California, Davis, California, United States of America.ORCID 0000-0003-3029-5236
David KirkNuffield College and Department of Sociology, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-0037-4291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ridehailing services such as Uber have been promoted as viable interventions for curbing alcohol-involved driving fatalities. However, evidence of ridehailing's impact has been mixed, with some studies finding no association but others finding either an increase or a decrease in fatalities. We contribute to this literature by examining more recent years of data, which capture a period during which Uber ridership has grown substantially and alcohol-involved fatalities have increased. Furthermore, we test whether the relationship between Uber availability and traffic fatalities depends on local characteristics. We employ multivariate regression models to test the association between Uber availability and total, alcohol-involved, and weekend and holiday-specific traffic fatalities in the 100 most populated metropolitan areas in the United States between 2009 and 2017. We find that Uber availability is not associated with changes in total, alcohol-involved, and weekend and holiday-specific traffic fatalities in aggregate, yet it is associated with increased traffic fatalities in urban, densely populated counties.

Indexed as

Accidents, TrafficAdultAlcohol DrinkingAutomobile DrivingDemographyFemaleHumansMaleSocial ClassUnited StatesYoung Adult

Identifiers

PMID32915851
PMCPMC7485824

What OpenQuestion holds

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LicenceCC BY
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.