Ride sharing

By Alex Thomson Over the past decade or so, the technology industry has transformed many things we used to buy as physical products into digital services we subscribe to or access on a pay-per-use basis. Think...

By Brian Penny It doesn’t seem like the transportation industry could be completely disrupted by cryptocurrencies like Bitcoin. Of course, the idea of both Lyft and Uber dominating local transportation industries across the globe seemed laughable a decade...

Madison Kirkpatrick In today’s day and age, ride-sharing has become increasingly popular amongst teenagers and young adults who use the service for a variety of purposes: as a designated driver, as a convenient navigator, and...

  SoftBank Group Corp Chief Executive Masayoshi Son blasted Japan on Thursday (July 19) for not allowing ride-sharing services, calling it "stupid" and saying the country was lagging overseas rivals in areas such as artificial...

By Pamela Chow In an age of collaborative consumption, the booming sharing economy is spurring car rental giant Avis Budget Group to navigate creative ways to grow the size and share of the travel pie through...

  California recently became the first state in the nation to regulate the transportation pollution produced by the surge in popularity of ridesharing after Gov. Brown signed Senate Bill 1014, a bill requiring transportation network companies (TNCs)...

By Camri Nelson  cnelson@limanews.com More individuals in larger cities may decide to utilize ride sharing services as opposed to owning a car in the future, but that does not seem the case for people who...

By Sean Szymkowski General Motors has plans to commercialize the self-driving car in 2019 in the form of a ride-sharing service. However, there’s no concrete plan on how that service will look just yet. GM CEO Mary Barra commented...

  Business travellers around the world feel marginally safer in taxis than in ride-sharing services, according to research commissioned by Carlson Wagonlit Travel, the global travel management company. Around two in five (39%) business travellers surveyed...

By MATTHEW SWAYNE-PENN STATE 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...