Literature DB >> 32792367

Assessing the impact of a local community subsidised rideshare programme on road traffic injuries: an evaluation of the Evesham Saving Lives programme.

David K Humphreys1, Michelle Degli Esposti2, Frances M Williams3, Michelle C Kondo4, Christopher Morrison3,5.   

Abstract

BACKGROUND: Alcohol-related vehicle crashes pose a significant challenge to public health in suburban communities. The Evesham Saving Lives programme operated between late 2015 and 2019 in two townships (Evesham and Voorhees) in New Jersey. The programme subsidised rideshare (eg, Uber) trips from bars and restaurants between the hours of 21:00 and 02:00 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 Poisson models to compare rates of injury crashes between participating municipalities (n=2) and non-participating municipalities (n=75). Sensitivity analyses included comparison with a weighted synthetic control series.
RESULTS: The Evesham Saving Lives programme was associated with 18% fewer injury crashes overall (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 programmes that have been implemented in other suburban communities across the US. © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  alcohol; motor vehicle occupant; programme evaluation; public health; regulation; rural

Year:  2020        PMID: 32792367      PMCID: PMC8014988          DOI: 10.1136/injuryprev-2020-043728

Source DB:  PubMed          Journal:  Inj Prev        ISSN: 1353-8047            Impact factor:   2.399


  11 in total

1.  Identification of differences between rural and urban safety cultures.

Authors:  Michael E Rakauskas; Nicholas J Ward; Susan G Gerberich
Journal:  Accid Anal Prev       Date:  2009-06-06

2.  Methods for evaluating changes in health care policy: the difference-in-differences approach.

Authors:  Justin B Dimick; Andrew M Ryan
Journal:  JAMA       Date:  2014-12-10       Impact factor: 56.272

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

Authors:  Christopher N Morrison; Sara F Jacoby; Beidi Dong; M Kit Delgado; Douglas J Wiebe
Journal:  Am J Epidemiol       Date:  2018-02-01       Impact factor: 4.897

4.  Estimating effects of Uber ride-sharing service on road traffic-related deaths in South Africa: a quasi-experimental study.

Authors:  Jonathan Yinhao Huang; Farhan Majid; Mark Daku
Journal:  J Epidemiol Community Health       Date:  2019-01-11       Impact factor: 3.710

Review 5.  Judging intoxication.

Authors:  Steve Rubenzer
Journal:  Behav Sci Law       Date:  2010-05-21

6.  Uber and Metropolitan Traffic Fatalities in the United States.

Authors:  Noli Brazil; David S Kirk
Journal:  Am J Epidemiol       Date:  2016-07-22       Impact factor: 4.897

7.  The implications of ridehailing for risky driving and road accident injuries and fatalities.

Authors:  David S Kirk; Nicolo Cavalli; Noli Brazil
Journal:  Soc Sci Med       Date:  2020-01-11       Impact factor: 4.634

8.  Safety in numbers: are major cities the safest places in the United States?

Authors:  Sage R Myers; Charles C Branas; Benjamin C French; Michael L Nance; Michael J Kallan; Douglas J Wiebe; Brendan G Carr
Journal:  Ann Emerg Med       Date:  2013-07-23       Impact factor: 5.721

9.  Ridesharing and motor vehicle crashes: a spatial ecological case-crossover study of trip-level data.

Authors:  Christopher N Morrison; Christina Mehranbod; Muhire Kwizera; Andrew G Rundle; Katherine M Keyes; David K Humphreys
Journal:  Inj Prev       Date:  2020-04-06       Impact factor: 2.399

10.  'Dark logic': theorising the harmful consequences of public health interventions.

Authors:  Chris Bonell; Farah Jamal; G J Melendez-Torres; Steven Cummins
Journal:  J Epidemiol Community Health       Date:  2014-11-17       Impact factor: 3.710

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  5 in total

1.  Rideshare Trips and Alcohol-Involved Motor Vehicle Crashes in Chicago.

Authors:  Christopher N Morrison; Gabrielle D'Ambrosi; Ava Kamb; Kytt MacManus; Andrew G Rundle; David K Humphreys
Journal:  J Stud Alcohol Drugs       Date:  2021-11       Impact factor: 2.582

Review 2.  Ride-Hailing and Road Traffic Crashes: A Critical Review.

Authors:  Christopher N Morrison; David S Kirk; Noli B Brazil; David K Humphreys
Journal:  Am J Epidemiol       Date:  2022-03-24       Impact factor: 5.363

Review 3.  The effectiveness of alternative transportation programs in reducing impaired driving: A literature review and synthesis.

Authors:  James C Fell; Jennifer Scolese; Tom Achoki; Courtney Burks; Allison Goldberg; William DeJong
Journal:  J Safety Res       Date:  2020-09-21

4.  Ride hailing app use and drunk/drugged driving among young adult nightclub patrons.

Authors:  Steven P Kurtz; Mance E Buttram
Journal:  Traffic Inj Prev       Date:  2020-11-18       Impact factor: 1.491

5.  Assessing the impact of the national traffic safety campaign: a nationwide cohort study in Japan.

Authors:  Shunichiro Nakao; Yusuke Katayama; Tetsuhisa Kitamura; Tomoya Hirose; Jotaro Tachino; Kenichiro Ishida; Masahiro Ojima; Takeyuki Kiguchi; Yutaka Umemura; Tomohiro Noda; Tasuku Matsuyama; Kosuke Kiyohara; Yuko Nakagawa
Journal:  BMJ Open       Date:  2022-02-01       Impact factor: 2.692

  5 in total

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