Last week, a public relations skirmish broke out between the Massachusetts Institute of Technology and Uber, after researchers at the school’s Center for Energy and Environmental Policy Research (CEEPR) released a dismaying study on the subject of ride-sharing drivers’ profits. Across the board, they estimated, after accounting for such business costs as fuel, depreciation, and insurance, Uber and Lyft drivers — independent contractors by definition, and thus granted few of the protections that even the most rudimentary part-time jobs boast — often saw their take-home pay dip well below $4 an hour.
WASHINGTON — As the temperatures warm up, cherry blossom lovers are warming up for their big moment.
Blooming blossoms will lure locals and out-of-towners to the National Mall and Tidal Basin during this year’s National Cherry Blossom Festival (March 20–April 15).
The crowd size could be a bit more humanity than you’re accustomed to. The good news is you have several options for getting around there. Whether it’s four wheels, two wheels, trains or boats, you have flexibility. Here’s some guidance so you can strategize accordingly.
Autonomous vehicles will transform personal mobility by slashing the cost per mile relative to a traditional taxi, Uber, or personal car, according to ARK’s research. Here, we evaluate which firms will reap the benefits of a new market which promises to ramp from essentially $0 now to $10 trillion in global gross annual revenues by 2030.1
We expect four types of firms to get a cut of the estimated $0.352 in revenue per mile that autonomous taxis will charge: platform providers, lead generators, vehicle manufacturers, and owner/operators, as shown below. Some companies probably will benefit from more than one source of revenues.
In a study, the researchers used two types of neural networks — computational systems modeled on the human brain — that analyzed patterns of taxi demand. This deep learning approach, which lets computers learn on their own, was then able to predict the demand patterns significantly better than current technology.
“Ride sharing companies, like Uber in the United States, and Didi Chuxing in China, are becoming more and more popular and have really changed the way people approach transportation,” said Jessie Li, associate professor of information sciences and technology, Penn State. “And you can imagine how important it would be to predict the taxi demand because the taxi company could dispatch the cars even before the need arises.”