Literature DB >> 33735196

Associating ridesourcing with road safety outcomes: Insights from Austin, Texas.

Eleftheria Kontou1, Noreen McDonald2.   

Abstract

Improving road safety and setting targets for reducing traffic-related crashes and deaths are highlighted as part of the United Nations sustainable development goals and worldwide vision zero efforts. The advent of transportation network companies and ridesourcing expands mobility options in cities and may impact road safety outcomes. We analyze the effects of ridesourcing use on road crashes, injuries, fatalities, and driving while intoxicated (DWI) offenses in Travis County, Texas. Our approach leverages real-time ridesourcing volume to explain variation in road safety outcomes. Spatial panel data models with fixed-effects are deployed to examine whether the use of ridesourcing is significantly associated with road crashes and other safety metrics. Our results suggest that for a 10% increase in ridesourcing trips, we expect a 0.12% decrease in road crashes, a 0.25% decrease in road injuries, and a 0.36% decrease in DWI offenses in Travis County. On the other hand, ridesourcing use is not significantly associated with road fatalities. This study augments existing work because it moves beyond binary indicators of ridesourcing availability and analyzes crash and ridesourcing trips patterns within an urbanized area rather than their metropolitan-level variation. Contributions include developing a data-rich approach for assessing the impacts of ridesourcing use on the transportation system's safety, which may serve as a template for future analyses for other cities. Our findings provide feedback to policymakers by clarifying associations between ridesourcing use and traffic safety and uncover the potential to achieve safer mobility systems with transportation network companies.

Entities:  

Year:  2021        PMID: 33735196      PMCID: PMC7971567          DOI: 10.1371/journal.pone.0248311

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  14 in total

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

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Journal:  Am J Epidemiol       Date:  2018-02-01       Impact factor: 4.897

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

8.  The relation between working conditions, aberrant driving behaviour and crash propensity among taxi drivers in China.

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Journal:  Accid Anal Prev       Date:  2018-04-04

9.  Development and validation of a method to quantify benefits of clean-air taxi legislation.

Authors:  Dustin Fry; Marianthi-Anna Kioumourtzoglou; Christian A Treat; Kimberly R Burke; David Evans; Loni P Tabb; Daniel Carrion; Frederica P Perera; Gina S Lovasi
Journal:  J Expo Sci Environ Epidemiol       Date:  2019-05-29       Impact factor: 5.563

10.  Innovative health care mobility services in the US.

Authors:  Mary K Wolfe; Noreen C McDonald
Journal:  BMC Public Health       Date:  2020-06-11       Impact factor: 3.295

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  1 in total

Review 1.  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

  1 in total

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