What you're looking at
Weekday cycling, April 2025. Every street carries an estimated cyclists/day figure. That estimate — the combined layer — is DQ Flows: a count-anchored blend of two independent sources.
- Traffic model (TM) — complete coverage of the whole network, but modelled.
- GPS movement data — real observed travel, but only a sample of riders.
- Physical bike counts — anchor the blend to real-world numbers.
No single source is reliable on its own. Blended and calibrated to counts, they give a network-wide estimate you can stand behind.
The two views
Use the View selector, top-left.
- Street-level flows — every street coloured by cyclists/day. Switch the metric to see the model only, GPS only, or the GPS ÷ model diagnostic that shows where real cycling diverges from what the model expects.
- Neighbourhood analysis (Rotterdam) — the under-served layer. For each neighbourhood we compare the cycling that actually happens against what its housing, facilities and population would lead you to expect. Red = under-served (less than expected); green = the opposite.
The transport-poverty signal
In the neighbourhood view, flip the colouring between Under-served and the demographic layers (social housing, non-European origin, property value). The shortfall lines up with disadvantage: across Rotterdam, where cycling falls short of expectation, you tend to find more social housing, more residents of non-European origin, and lower property values.
Read this as "the need is there but the provision isn't" — not as "poorer people cycle less." The relationship is observational, not causal.
How you can use the data
- Target investment — find streets and neighbourhoods where demand exists but cycling is low: missing links, severance, network gaps.
- Equity & transport poverty — direct funding (e.g. the EU Social Climate Fund) to where weak provision overlaps with social vulnerability.
- Baseline & monitoring — a network-wide before/after measure to evaluate what an intervention actually changed.
- Scenario testing — estimate how a new link or upgrade reshapes flows and access before a spade goes in the ground.
- Safety prioritisation — combine with CycleRAP risk ratings to act where high flows meet high risk.
DQ Flows / DOK Data · combined model, weekday cycling, April 2025. Demographics: CBS neighbourhood statistics.