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 – access to Strava Metro is 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.

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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.”

Transportation Planner, City of Stonnington

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

CDOT Transport 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.”

Utah DOT Active Transportation Manager

“We have been using Strava Metro to identify and explore bike use on trails and routes where we do not currently collect bike counts directly. This is helping us prioritize where to continue extending our bike count program to.”

City of Boulder, CO

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

Transportation Planner, City of Stonnington

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

CDOT Transport 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.”

Utah DOT Active Transportation Manager

City of Boulder, CO

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

Transportation Planner, City of Stonnington

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

CDOT Transport 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.”

Utah DOT Active Transportation Manager

City of Boulder, CO

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