ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2021
Ridesharing and motor vehicle crashes: a spatial ecological case-crossover study of trip-level data.
Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- Vehicle traffic as a determinant of community firearm violence.Injury epidemiology · 2025Article
- Ride-Hailing and Road Traffic Crashes: A Critical Review.American journal of epidemiology · 2022Review
- Ridesharing and alcohol-related assaults in NYC: A spatial ecological case-crossover study.Drug and alcohol dependence · 2022Article
- Rideshare Trips and Alcohol-Involved Motor Vehicle Crashes in Chicago.Journal of studies on alcohol and drugs · 2021Article
- The unknown denominator problem in population studies of disease frequency.Spatial and spatio-temporal epidemiology · 2020Review
- Assessing the impact of a local community subsidised rideshare programme on road traffic injuries: an evaluation of the Evesham Saving Lives programme.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2020Article
- Ridehailing and alcohol-involved traffic fatalities in the United States: The average and heterogeneous association of uber.PloS one · 2020Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundRidesharing services (eg, Uber, Lyft) have facilitated over 11 billion trips worldwide since operations began in 2010, but the impacts of ridesharing on motor vehicle injury crashes are largely unknown. -
methodsThis spatial ecological case-cross over used highly spatially and temporally resolved trip-level rideshare data and incident-level injury crash data for New York City (NYC) for 2017 and 2018. The space-time units of analysis were NYC taxi zone polygons partitioned into hours. For each taxi zone-hour we calculated counts of rideshare trip origins and rideshare trip destinations. Case units were taxi zone-hours in which any motor vehicle injury crash occurred, and matched control units were the same taxi zone from 1 week before (-168 hours) and 1 week after (+168 hours) the case unit. Conditional logistic regression models estimated the odds of observing a crash (separated into all injury crashes, motorist injury crashes, pedestrian injury crashes, cyclist injury crashes) relative to rideshare trip counts. Models controlled for taxi trips and other theoretically relevant covariates (eg, precipitation, holidays).
resultsEach additional 100 rideshare trips originating within a taxi zone-hour was associated with 4.6% increased odds of observing any injury crash compared with the control taxi zone-hours (OR=1.046; 95% CI 1.032 to 1.060). Associations were detected for motorist injury and pedestrian injury crashes, but not cyclist injury crashes. Findings were substantively similar for analyses conducted using trip destinations as the exposure of interest.
conclusionsRidesharing contributes to increased injury burden due to motor vehicle crashes, particularly for motorist and pedestrian injury crashes at trip nodes.
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