The same day I read in The Atlantic “The Right Way to Make Cities Smart” (Most data-driven “civic apps” report problems. What if they facilitated civic engagement instead?), I learned that the City of Toronto has a new app that will collect real cycling data from cyclists that will presumably help contribute to the future planning of cycling infrastructure.
And shortly thereafter, I learned that in Montreal, they track bicycling traffic by embedding sensors in the paths themselves. And the data is open! I learned about this from Julia Evans’ Diving into Open Data with IPython Notebook & Pandas video (links to notebooks can be found here).
Digging deeper, it seems that Montreal makes use of the sensors of a French company called Eco-Counter which claims that their sensors show city engineers tend to under-estimate cycling by a very significant factor.
And this whole post came about because yesterday, I learned that Strava released a map of bike and running data collected from their app use.
From paving the cow paths to widening the bike paths?