Strava Global Heatmap

Strava Labs is an online community of athletes that is collecting data about activities one person at a time. You can sign up for free, create a profile and then track your running or riding. Admittedly, that has very little to do with urbanism though. What they’ve done that is interesting, is actually make some of the data available for developers. One of the coolest things they made is a heatmap of where people are running and biking. Here’s the biking map for Seattle:

Strava Global Heatmap-biking

Keep in mind that this is likely mapping recreational rides, which could differ significantly from commuting. Additionally, there is a lot of data at Strava, but the map is for the entire world. It’s hard to say how much data was used for Seattle alone. With that said, there are some interesting observations. For example, why is there so much biking downtown but nearly none in Capitol Hill. If you look at the running map, the results are very different.Strava Global Heatmap-running

It is already a well-known fact that cities track bike and car use with counters. I’m not aware of any effort in Seattle to collect trip data via a smartphone app, but Oregon’s Department of Transportation (ODOT) recently purchased data from Strava and San Francisco collects data from an app called CycleTracks. A lack of data makes it much more difficult to plan for infrastructure. The amount ODOT paid, $20,000, seems pretty small. (And might even be lower if a motivated developer in Seattle built it…anyone?). If there was a custom made app made specifically for Seattle, it could differentiate between recreational and commuter uses as well as collect demographic information to put the data into context.

Any data like this will definitely have limits related to sample size and bias. It’s a well-known fact that commuting by bicycle is really important to lower income individuals, and it is likely a lot of these trips would be missed due to the additional cost of owning a smartphone.

3 COMMENTS

  1. I have a feeling, in 2015, that there’s less bias involving the cost of owning a smartphone than:

    1. The sort of people that use Strava
    2. The sort of rides they use Strava for — this map would indicate that more people do hill repeats on Fairmount Ave than run errands in the U District (I’ve done both, and my experience says the opposite)
    3. The sort of people that are comfortable marking their rides public

Comments are closed.