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Preventing impaired driving

Crashes that result from texting while driving and when under the influence of drugs and/or alcohol can be prevented.

Our vast network of riders and drivers holds one another accountable to help keep everyone safe.

OUR CONTRIBUTION

Providing safer options

Partnering with Mothers Against Drunk Driving

Two out of 3 people in the United States will be involved in a drunk-driving crash in their lifetime. Uber and MADD are working together to help save lives by encouraging people to leave the keys at home and take a safe ride.

Helping make nights out safer in Australia

Our partnership with DrinkWise makes it easy to leave if your friends want to keep drinking but you don’t. Ghost with Uber lets you request a ride—then share your status with your friends once you’re safely on your way home.

Saving lives on and off the field

Soccer players from Brazil’s Clube Atlético Paranaense partnered with Uber to raise awareness about how distracting texting can be, whether you’re playing a game or driving to work.

Minimizing impaired driving

In a study in Salem, Oregon, more than 59% of Uber’s late-night trips started within 500 feet of an alcohol-serving business. See how our trip data combined with public records is helping us make roads safer.

Getting you home safely

Providing a safe way home when and where people need it most

  • San Francisco: 5 minutes could make all the difference

    In San Francisco, the typical Uber trip was less than 5 minutes away from the city’s 285 impaired-driving arrests in 2017. That means the possible injuries and consequences from driving under the influence could potentially be avoided with a short wait for a rideshare.

    Under the Hood on Medium, January 9, 2018

  • London: requests for rides at night exceed rush-hour requests

    In London, there’s greater demand for rides with the Uber app around closing time for pubs and other nightlife locales than around the evening rush. This graph shows how demand changes throughout the day.

    Source: Uber internal data

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