Group items tagged

"Frequent Network Maps show us the arteries of the city: how we can get from one point to another reliably and quickly. But here's something that a Frequent Network Map doesn't deal with: that the urban network is constantly in flux." Réflexion à pousser sur la notion de "carte vivante" et de pouls de la ville.

"Using Bayesian statistics, Uber's data team showed how it's been able to accurately predict the destination of its users three out of four times. To do this, they built an algorithm designed to figure out specific destinations--not just the intersection or another rough approximation, but exact addresses--and then tested it against the actual behavior of 3,000 anonymous Uber riders."

"If you want to bike around Manhattan these days, it's easy to find an online or physical map that can lead you to the bike lanes and keep you riding safely. But it won't tell you much more, like which route would be the most relaxing, and which the most demanding of your attention. That's exactly the information Arlene Ducao wants to provide with the MindRider Map, which is created by deploying cyclists wearing a helmet that measures their brainwaves."