Let's make human-powered travel safe, accessible, and efficient for everyone.

Better communities for cyclists and pedestrians

The Strava dataset is the leading platform for active transportation data. Metro aggregates, de-identifies and contextualizes this dataset to help make communities better for anyone on foot or on a bike.

We work with urban planners, trail networks, city governments and safe-infrastructure advocates to understand mobility patterns, identify opportunities for investment and evaluate the impact of infrastructure changes – all completely free of charge.

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Recent Case Studies

Where Should We Locate Bike Counters and Share Stations?

It is possible to leverage the granularity of Strava data to guide targeted placement of bike share stations

The New Human-Powered Era

When the community adds activities to Metro, they become a part of the world’s largest collection of human-powered transport information.

Using Strava Data for Active Transportation Planning

Data on bicycling exposure, measured as the volume of bicycles, is notoriously hard to obtain. Enter Strava.

A 360 approach to planning

Metrodataplaysanimportantroleacrossmanystagesofaninfrastructureproject.
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Testimonials

It's like having thousands of counters set up all across the city.

Jessica Cubillos, Planner, City of Stonnington

Before the [Strava] dataset there was only this word-of-mouth way to know whether cyclists were using corridors.

Ken Brubaker, CDOT engineer

It has helped identify cases where bike facilities could be added to accommodate existing bike traffic. When you pull up some actual data it resonates well with engineers.

Heidi Goedhart, Utah DOT Active Transportation Manager

It's like having thousands of counters set up all across the city.

Jessica Cubillos, Planner, City of Stonnington

Before the [Strava] dataset there was only this word-of-mouth way to know whether cyclists were using corridors.

Ken Brubaker, CDOT engineer

It has helped identify cases where bike facilities could be added to accommodate existing bike traffic. When you pull up some actual data it resonates well with engineers.

Heidi Goedhart, Utah DOT Active Transportation Manager

It's like having thousands of counters set up all across the city.

Jessica Cubillos, Planner, City of Stonnington

Before the [Strava] dataset there was only this word-of-mouth way to know whether cyclists were using corridors.

Ken Brubaker, CDOT engineer

It has helped identify cases where bike facilities could be added to accommodate existing bike traffic. When you pull up some actual data it resonates well with engineers.

Heidi Goedhart, Utah DOT Active Transportation Manager

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Apply for a Metro Partnership