Ridesharing and Motor Vehicle Crashes in 4 US Cities: An Interrupted Time-Series Analysis

Am J Epidemiol. 2018 Feb 1;187(2):224-232. doi: 10.1093/aje/kwx233.

Abstract

Uber, the world's largest ridesharing company, has reportedly provided over 2 billion journeys globally since operations began in 2010; however, the impact on motor vehicle crashes is unclear. Theoretically, ridesharing could reduce alcohol-involved crashes in locations where other modes of transportation are less attractive than driving one's own vehicle while under the influence of alcohol. We conducted interrupted time-series analyses using weekly counts of injury crashes and the proportion that were alcohol-involved in 4 US cities (Las Vegas, Nevada; Reno, Nevada; Portland, Oregon; and San Antonio, Texas). We considered that a resumption of Uber operations after a temporary break would produce a more substantial change in ridership than an initial launch, so we selected cities where Uber launched, ceased, and then resumed operations (2013-2016). We hypothesized that Uber's resumption would be associated with fewer alcohol-involved crashes. Results partially supported this hypothesis. For example, in Portland, Uber's resumption was associated with a 61.8% reduction (95% confidence interval: 38.7, 86.4) in the alcohol-involved crash rate (an absolute decrease of 3.1 (95% confidence interval: 1.7, 4.4) alcohol-involved crashes per week); however, there was no concomitant change in all injury crashes. Relationships between ridesharing and motor vehicle crashes differ between cities over time and may depend on specific local characteristics.

Keywords: accidents; alcohol drinking; interrupted time-series analysis; motor vehicles; traffic; transportation.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Accidents, Traffic / statistics & numerical data*
  • Alcohol Drinking / adverse effects*
  • Automobile Driving / statistics & numerical data*
  • Cities / epidemiology
  • Humans
  • Interrupted Time Series Analysis
  • Motor Vehicles
  • Nevada / epidemiology
  • Oregon / epidemiology
  • Texas / epidemiology