A new survey reveals that Brits will spend their commute in a fully autonomous car eating and drinking. The OnePoll survey, conducted by webuyanycar.com, asked 2000 UK motorists who currently drive to and from work what they would do during a commute in a fully autonomous car.
The results revealed that 50% of motorists would choose to eat and drink during a commute in a fully autonomous car, and millennials are the most likely to eat and drink whilst commuting in driverless cars.
When breaking the responses down by age, the survey reveals that millennials are the most likely to eat and drink during a commute in a fully autonomous car. 29% of 18 to 24 year olds say that they would eat and drink whilst commuting in a fully autonomous car.
When looking at the results by region, respondents in London and the West Midlands are the most likely to eat and drink during a commute in a fully autonomous car. 27% of respondents in London and 26% of respondents in the West Midlands said that they would eat and drink during their time in driverless cars.
Richard Evans, the head of Technical Services at WBAC said “Our survey confirms that we’re a nation of foodies. Driverless cars will provide us an extra 220 hours of time each year to do something that we love, eat! This is great news for time-poor commuters, from early birds who skip breakfast to get onto the office early, to mums being able to enjoy breakfast with their children during the school run.”
Notes to Editors:
The raw survey data that includes age, gender and region demographics can be provided upon request.
webuyanycar.com is the UK's largest car buying service. They specialise in providing customers with a simple three step solution for selling their car without the need for a dealer or selling privately. webuyanycar.com have over 200 branches nationwide and have bought over 1 million cars.
OnePoll is a marketing research company specialising in online quantitative research and polling. OnePoll delivers consumer and B2B research, specialising in PR surveys and online quantitative research.