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Assessing the impact of a local community subsidized rideshare program on road traffic injuries: an evaluation of the Evesham Saves Lives Program

Supporting Files
File Language:
English


Details

  • Alternative Title:
    Inj Prev
  • Personal Author:
  • Description:
    Background

    Alcohol related vehicle crashes pose a significant challenge to public health in suburban communities. The Evesham Saves Lives program operated between late 2015 and 2018 in two townships (Evesham and Voorhees) in New Jersey. The program subsidized rideshare (e.g. Uber) trips from bars and restaurants between the hours of 9pm and 2am to prevent alcohol related traffic injuries.

    Methods

    This study used data from the New Jersey Department of Transportation to examine changes to rates of injury crashes between 2010 and 2018. We used an ecological difference-in-difference design with Bayesian conditional autoregressive (CAR) Poisson models to compare rates of injury crashes between participating municipalities (n=2) with non-participating municipalities (n=75). Sensitivity analyses included comparison with a weighted synthetic control series.

    Results

    The Evesham Saves Lives program was associated with 18% fewer injury crashes overall (Incidence Rate Ratio [IRR]= 0.82, 95% Credible Interval [CrI]: 0.76,0.88). Reductions in crashes were estimated to be greatest at night (IRR=0.62, 95% CrI: 0.48,0.79), with moderate reductions in the afternoon (IRR=0.80, 95% CrI: 0.72,0.88). We estimate that around three lives were saved (95%CrI: 2,5) and around 371 injuries were prevented (95% CrI: 204,625) potentially making considerable savings in terms of medical and economic expenses.

    Conclusions

    These findings support the claim that improving the convenience and reducing the costs of alternative night-time transportation can prevent road traffic injuries. Future studies should aim to replicate these analyses in programs that have been implemented in other suburban communities across the U.S.

  • Keywords:
  • Source:
    Inj Prev.
  • Pubmed ID:
    32792367
  • Pubmed Central ID:
    PMC8014988
  • Document Type:
  • Funding:
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  • Main Document Checksum:
    urn:sha256:d04a2c80e8f6f2b2e6cdd0887ddb7b9f96068ba12ff962401ec7d44495d0cab9
  • Download URL:
  • File Type:
    Filetype[PDF - 1023.11 KB ]
File Language:
English
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