Brandon Donnelly — Daily insights for city builders. Published since 2013 by Toronto-based real estate developer Brandon Donnelly. — Page 1452

I’m convinced that city building – like probably every other industry – is going to get a lot more data driven. Yesterday I wrote about how driverless cars are collecting exact replicas of our cities as a result of the 3D scanning that they do. And today I learned about an interesting new startup called Placemeter .

Basically it works like this: If you have a window (at home, at the office, or wherever) that faces onto a lively street, Placemeter will pay you to setup a smartphone in that window as a “meter.” The going rate is up to $50 per month and they’ll even provide you with the necessary suction cups.

Through video, your phone will then start collecting anonymous data about that street’s activity levels: the number of people, cars, and so on. Below is a video of what that output looks like. Notice that it’s even collecting the number of people that go into each of the stores. Click here if you can’t see the video below.

//player.vimeo.com/video/69091237

To make money, Placemeter plans to sell (or is already selling) this data. And their goal is to “make your city better” by specifically improving the way that pedestrian spaces are designed. There are of course lots of other use cases for data like this (such as seeing how busy that bar is across town), but their primary goal appears to be around city building. At least that’s the case right now.

Not surprisingly, there are concerns about privacy. But I’m sure they’ll be able to work around that. All of the data they collect is anonymous and they don’t save any of the footage that they receive from the meters. Their system just extracts the relevant data points and then automatically deletes the video. 

What’s also interesting to me about this startup, though, is that it’s yet another example of decentralized value creation. Just like Airbnb empowered anyone with a spare room to run their own bed and breakfast and YouTube empowered anyone with some talent (or a funny cat) to create engaging content, Placemeter is allowing anyone with a window and a view to connect and contribute to a network of urban sensors.

And it works because the marginal cost of adding a new meter to their network is relatively low. Especially if you compare it to what it might cost for a municipality to setup and manage a similar – albeit centralized – system. It’s a totally different cost structure. So when we talk about smart cities and data driven city building, we’re really talking about networks and an environment of decentralized inputs.

It’s a pattern that keeps coming up as a result of the internet. If you start watching for it, I’m sure you’ll see it.

Image: Flickr

Here’s further evidence that technology is starting to infiltrate into many other industries, including architecture. London-based architect and designer Pernilla Ohrstedt is currently working on an exhibition for Dezeen and MINI Frontiers that will architecturally visualize the 3D data that driverless cars collect in order to navigate around.

I had never thought of this before, but as a byproduct of driverless cars, we’re about to start collecting detailed replicas of all of our cities – well beyond the static images we currently have with Google Streetview. In order to navigate by themselves, driverless cars are constantly scanning their surroundings to create a “point cloud” replica of the built environment. This point cloud basically tells the car where they are, where they should drive, and what obstacles might be around.

It could look something like this:

Already there are firms like ScanLAB emerging to provide 3D scanning, publishing, and visualization services. But this is obviously just the tip of the iceberg. I can only imagine what innovation will emerge from the passive collection of all this data once driverless cars become commonplace in our cities.

As one example, it could be a way for us to systematically measure the correlation between the qualities of a street and the vibrancy of its street life. Is there a perfect width? An ideal traffic volume? A right scale? All of this data could make city building more of a science (and perhaps less political).

My hope though is that this data would be open and accessible to all, so that clever entrepreneurs could build on top of it.

What are some of your ideas?

Images: Dezeen

I’ve just launched a set of city tees over at shopATC . To start, there are 4 cities (Toronto, New York, Vancouver, and London) and each one is available in either black or (ATC) orange. They’re printed on a super soft American Apparel tee and cost only $30 each. I picked the cities based on readership levels. I hope you like them.