For decades we have tried to build a car that will drive itself. Anthony M. Townsend’s Ghost Road argues convincingly that the driverless car is a red herring. When self-driving technology infects buses, bikes, delivery vans, and even buildings, a wild, woollier, future awaits.
The world’s cities have had a look at the future of automated vehicles. What have they seen?
How can cities harness AVs to solve pressing mobility challenges? What kinds of pilots can they undertake, and how should they run them?
¿Qué ocurrirá cuando los vehículos autónomos (AVs) sean usados alrededor de todo el mundo?
What is driving the development of self-driving technology? How and when will it show up in cities? What can we do about it?
Google’s self-driving car project turns ten this year, but we’re as far away from a driverless future as ever. Or so it seems.
A new tool—the big data maturity model—can help cities think strategically about data-driven innovation.
A gathering of researchers and policy analysts building urban data maturity models finds common approaches and concerns.
What is the Internet of Things, and why should urbanists care?
Why do some cities grow, and others decline? What makes one city different from another, and what commonalities do they share? What is a city anyways?
What does the digital, urban future hold for the world’s most vulnerable populations?
Cities are using data to improve governance , but profound challenges lie ahead.