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How Strava helps commutes

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How Strava helps commutes

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In 2015, Strava members used their mobile phones and GPS devices to upload more than 168 million activities, roughly 5.3 activities every single second. In dense urban areas, nearly half of these activities were commutes. We monitor commute figures each week and put them on a dedicated data platform called Strava Insights:

Strava is such a vast platform now with 150,000 new members signing up each week on average, so we have all types of cyclists and runners on the platform not only commutes. You must think Strava was founded in 2009 and it’s likely that some commutes were uploaded at this point – but in reality we had just a handful of members in comparison to now-. At this moment in time, we have around 6 million new activity uploads every single week.

Millions of people upload their rides and runs to Strava every week via their smartphone or GPS device. Strava Metro anonymizes and aggregates this data and then partners with departments of transportation and city planning groups to improve infrastructure for bicyclists and pedestrians.

Ultimately, it’s the partners we work with who interpret the data in order to improve cycling infrastructure but generally the Strava data helps cities to better understand how people choose to interact with the network of roads, bike paths and intersections.

Over 70 organizations and government agencies are already using Strava Metro data, including GoBike in Glasgow, Queensland Australia, University College London, Oregon Department of Transport, Austin B-Cycle in Texas and Vermont Transportation.

Here you´ve some examples how Strava helped them:

• Queensland, Australia used Metro to quantify how a new cycleway changed bicycling behavior on and around the new bike path.
• GoBike, in Glasgow, Scotland did a corridor analysis to prove the need for new infrastructure on a street that was perceived to have no bike usage.
• Austin B-Cycle, in Texas, combined Metro data with its own bike-share data to understand the impact of its program on the street and bike network.
• The Oregon DOT used Metro data to decide where to put bike counters and to adjust the location of existing bike counters to capture more bicycling behavior.
• Vermont Transportation has employed Strava Metro as a key data layer in their statewide VTrans On-Road Bicycle Plan.
• University of Victoria and University College London are each using Metro data to model total bicycling transportation in their area.

By Simon Klima, Strava´s Director of Local Marketing

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