[youtube https://www.youtube.com/watch?v=FZ8ODREybcs?rel=0]
About 9 months ago I wrote about a new startup called Urban Engines that was trying to improve urban mobility by using big data to optimize transit usage.
Last Tuesday the app launched in 10 cities across North America. So if you’re in Boston, Chicago, Los Angeles, New York, Portland, Seattle, San Francisco, Toronto, Vancouver, or Washington D.C., you can go ahead and download it right now.
The biggest “wow factor” is probably the augmented reality feature that allows you to hold your phone up and see transit information overlaid on top of the street in front of you.
But more fundamentally, the real potential lies in the platform’s ability to collect data on the way people move in cities and on how transit lines are performing, so that it can be fed back to improve overall efficiency.
That’s why the company is also working with cities to give them 24/7 analytics and reporting on how every bus, car, and train is performing in their networks.
My hope is that with better data at our disposal, we’ll be able to elevate the discussions around transit and transit planning. Without great data, it’s too easy for these discussion to become political.
If you’re a regular reader of Architect This City, you’ll know that I’m a supporter of congestion and road pricing. Any valuable good or service, such as a road, that’s offered for all intents and purposes as free, will never be able to keep up with demand. You need to price it.
However, the political risk associated with implementing something like this has made it such that few cities around the world have done it. London and Singapore are the two most common examples.
The more populist solution is to simply build more roads and highways, even though study after study shows that this doesn’t work. If it did, we would have already solved the problem of traffic congestion. And we most certainly haven’t.
Which is why I’m excited about a new startup that recently launched called Urban Engines. Their solution is twofold. It’s based on incentives and on treating people and cars in cities as sensors that feed back data into their network. Here’s a brief video. If you can’t see it below, click here.