Take a little bit of open data, add a lot of mapping, and suddenly you can see where people tend to run in Boston, Chicago, NYC, London, and Los Angeles (note: it’s mobile data, so biased towards tech adopters, but insightful nonetheless).
Along the water seems to be particular popular path.
The heat maps can easily tell you how far away two points are at a glance, to let you know how long your walk is going to be.
"These maps show how long it takes to get everywhere else via walking and public transit," Hardin writes in an email. "This allows you to make some important comparisons, such as ‘if I move here, I can reach half the city in 50 minutes if I start at 8 a.m.’" His paper explains more of the technical details.
Data driven breakdown of the world’s megacities. Thanks goes to tumblr user Luxojr93 for pointing us in the direction of these graphics.
Google Analytics For Physical Environments
If you run a blog or a website, tools like Google Analytics generate loads of useful data that tells you things like where your visitors come from and how they use your website. How interesting would it be to translate that idea to an offline environment? That’s exactly what Swedish-born, Amsterdam/Berlin-based artist Jonas Lund did.
Aaron Schumacher submitted this data visualization of daily entrances into the MTA subway system. According to Aaron:
"Start with open data, then some processing, and eventually you can make a picture like this. You can also check out the interactive version, where you can see the date and number of entrances for about three years worth of subway traffic. You can clearly see traffic changes around major holidays, and especially the effects around hurricanes Irene and Sandy.”
Good infographics or good data design has to begin with a secret or an insight that can only be revealed through the design of that data a particular way.
Good mindset for creating infographics.
And 31% of children get to school by biking or walking, as compared to a US nationwide average of just 13%.
By focusing on peer-to-peer urbanism, we would be able to create more functional and enjoyable communities while using less resources through sharing — both on and offline. By working collaboratively, there’s an opportunity to create solutions for the masses at a lower cost for the government, and therefore for tax payers. It’s problem solving by community.
Check out the interesting examples of user-generated urbanism, agile urbanism, and today’s peer-to-peer urbanism movement in Nick’s post.
New York City´s population by day and at night by Joe Lertola
Despite this, Caltrain’s finances aren’t in their best shape. Is it time to rethink the way we run transit?
Want to arm yourself with some urbanism facts? Then check out #citydata, our ongoing tumblr series.
Are you a mathematics fan? If not, maybe our new post on how Singapore is using data to help organise its taxi fleets might win you over.
Singapore’s taxis may look pretty normal, but there’s an open software platform running throughout the city that’s helping them get smarter. We call it Taxi Math.
Singapore is known for its density, but sights like this aren’t rare. In fact, nearly 50% of the surface of Singapore is green, thanks, in part, to some smart, data-driven urban design decisions.