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Ridehailing and alcohol-involved traffic fatalities in the United States: The average and heterogeneous association of uber
by
Brazil, Noli
, Kirk, David
in
Accidents
/ Accidents, Traffic - mortality
/ Adult
/ Alcohol
/ Alcohol Drinking - adverse effects
/ Alcohol use
/ Alcohols
/ Automobile Driving - statistics & numerical data
/ Availability
/ Biology and Life Sciences
/ Car pools
/ Censuses
/ Computer and Information Sciences
/ Demography
/ Driving ability
/ Driving while intoxicated
/ Drunk driving
/ Earth Sciences
/ Engineering and Technology
/ Fatalities
/ Female
/ Humans
/ Male
/ Medicine and Health Sciences
/ Metropolitan areas
/ Mortality
/ People and places
/ Population density
/ Public transportation
/ Regression analysis
/ Regression models
/ Ride sharing services
/ Ridership
/ Ridesharing services
/ Social Class
/ Social Sciences
/ Statistics
/ Traffic
/ Traffic accidents
/ Traffic congestion
/ United States
/ Vehicles
/ Young Adult
2020
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Ridehailing and alcohol-involved traffic fatalities in the United States: The average and heterogeneous association of uber
by
Brazil, Noli
, Kirk, David
in
Accidents
/ Accidents, Traffic - mortality
/ Adult
/ Alcohol
/ Alcohol Drinking - adverse effects
/ Alcohol use
/ Alcohols
/ Automobile Driving - statistics & numerical data
/ Availability
/ Biology and Life Sciences
/ Car pools
/ Censuses
/ Computer and Information Sciences
/ Demography
/ Driving ability
/ Driving while intoxicated
/ Drunk driving
/ Earth Sciences
/ Engineering and Technology
/ Fatalities
/ Female
/ Humans
/ Male
/ Medicine and Health Sciences
/ Metropolitan areas
/ Mortality
/ People and places
/ Population density
/ Public transportation
/ Regression analysis
/ Regression models
/ Ride sharing services
/ Ridership
/ Ridesharing services
/ Social Class
/ Social Sciences
/ Statistics
/ Traffic
/ Traffic accidents
/ Traffic congestion
/ United States
/ Vehicles
/ Young Adult
2020
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Ridehailing and alcohol-involved traffic fatalities in the United States: The average and heterogeneous association of uber
by
Brazil, Noli
, Kirk, David
in
Accidents
/ Accidents, Traffic - mortality
/ Adult
/ Alcohol
/ Alcohol Drinking - adverse effects
/ Alcohol use
/ Alcohols
/ Automobile Driving - statistics & numerical data
/ Availability
/ Biology and Life Sciences
/ Car pools
/ Censuses
/ Computer and Information Sciences
/ Demography
/ Driving ability
/ Driving while intoxicated
/ Drunk driving
/ Earth Sciences
/ Engineering and Technology
/ Fatalities
/ Female
/ Humans
/ Male
/ Medicine and Health Sciences
/ Metropolitan areas
/ Mortality
/ People and places
/ Population density
/ Public transportation
/ Regression analysis
/ Regression models
/ Ride sharing services
/ Ridership
/ Ridesharing services
/ Social Class
/ Social Sciences
/ Statistics
/ Traffic
/ Traffic accidents
/ Traffic congestion
/ United States
/ Vehicles
/ Young Adult
2020
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Ridehailing and alcohol-involved traffic fatalities in the United States: The average and heterogeneous association of uber
Journal Article
Ridehailing and alcohol-involved traffic fatalities in the United States: The average and heterogeneous association of uber
2020
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Overview
Ridehailing services such as Uber have been promoted as viable interventions for curbing alcohol-involved driving fatalities. However, evidence of ridehailing's impact has been mixed, with some studies finding no association but others finding either an increase or a decrease in fatalities. We contribute to this literature by examining more recent years of data, which capture a period during which Uber ridership has grown substantially and alcohol-involved fatalities have increased. Furthermore, we test whether the relationship between Uber availability and traffic fatalities depends on local characteristics. We employ multivariate regression models to test the association between Uber availability and total, alcohol-involved, and weekend and holiday-specific traffic fatalities in the 100 most populated metropolitan areas in the United States between 2009 and 2017. We find that Uber availability is not associated with changes in total, alcohol-involved, and weekend and holiday-specific traffic fatalities in aggregate, yet it is associated with increased traffic fatalities in urban, densely populated counties.
Publisher
Public Library of Science,Public Library of Science (PLoS)
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