Walking & cycling volumes · DQ Flows

How many people walk and cycle.Street by street.

Counts for walking and cycling are often missing, outdated or limited to a few locations. We fill that gap with DQ Flows: modelled pedestrian and cyclist volumes for every street in your area.

What you get

Every street in your network.

Flow maps
Pedestrian and cyclist volumes across the whole network for an average weekday and the morning peak, not only where counters happen to be.
Key corridors
Filter the network to its most important corridors. Use the 75% Travel Map, aligned with UN Global Road Safety Performance Target 4, the 80% map for Australian targets, or simply select the top 10 or 25 busiest streets.
Trip purposes
See why people travel, including school routes, so you know which streets matter most.
Validated
Checked against your count data where it exists. No counts yet? We advise on where and how to count.
Ready to use
A web platform with extra layers, available to your whole organisation, plus the data in GeoJSON format.
Option: GPS data
Refines the model with observed movement and adds recreational trips, weekend flows and change over time.
Option: Scenarios
Test plans before you build. See how volumes shift when you add a route, redesign a street or open a new school.

What you can do with it

From data to decisions.

Prioritise
Choose the corridors for your cycling network and the places where walkability improvements matter most.
Make the case
Support funding bids and investment programmes with transparent evidence.
Communicate
Show the needs of people walking and cycling with clear maps that councils and residents understand.
Monitor
Choose the best locations for traffic counts and long-term monitoring.

How it works

A model first. GPS data as an option.

DQ Flows simulates thousands of typical trips between where people live and where they want to go. It uses open data, regional travel patterns and AI image recognition to locate homes. The model shows flows on an average weekday and in the morning peak.

The result is a consistent picture for any area in the world, with volumes per street rather than data about individuals. It is available quickly and costs a fraction of a large counting programme.

As an extra option, we add GPS data from a purchased dataset of mobile devices. Our algorithm detects walking and cycling in it. This refines the model results and adds insight into recreational trips and weekend flows. All GPS processing complies with privacy regulations and uses only aggregated data.

Partner

Built with DOK Data.

DQ Flows is a product of our partner DOK Data, a Dutch specialist in data for road authorities. Stroomlens founder Roxy Tacq co-developed the model.

We deliver DQ Flows on its own or as part of a wider analysis with risk, costs and place quality.

Used by cities, provinces and road authorities in Europe and Australia, including Barcelona, Braga, Provincie Noord-Brabant and Main Roads Western Australia.

In practice

From Perth to Braga.

Perth, Australia
For Main Roads Western Australia, we delivered network-wide walking and cycling flows for the Perth region, with interactive maps and a workshop for local governments.
Braga, Portugal
Together with Lane Patrol, we used DQ Flows data to apply ‘The Good Street’ and the CycleRAP method.

More data sources

Follow the whole trip.

VelObserver and WalkObserver by our partner POSMO invite residents to rate their routes. These projects come with a multimodal tracking app in which participants record their trips. That adds the full routes people take, from start to destination, alongside the volumes per street from DQ Flows.

Participants choose to take part and give explicit, informed consent before their data is shared with public authorities. They keep full control and can export or delete their data at any time.

Share your question.

Tell us about your area and the questions you are working on. No obligation. We will come back to you with ideas and a tailored proposal.

Email roxy [at] stroomlens [dot] com · Cascais, Portugal