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Ridership Modeling in Remix

Predict how riders will move.

Model demand and predict ridership impact of network changes right in Remix.

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See the ridership impact of your planned changes—big and small.

Explore how Ridership Modeling can help you predict demand, evaluate scenarios, and make confident service decisions.

Request free trial

Learn about our data model.

We combine public, agency, and leading MaaS app Citymapper rider data to build a robust demand model for high quality, current predictions.

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US Census data

Built on public sources, including demographics, housing, commute modes, home-to-work origin–destination matrices, school locations and enrollment, trip behavior patterns, and POIs/amenities.
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Citymapper journey planning app O-D data

Trained on millions of current rider behaviors from Citymapper to know where trips start and end,  when they happen, and which modes riders choose—predicting mobility with confidence.
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Your agency data

Incorporate your agency datasets as well as geolocation and mobile/cell-location signals to power localized predictions.
Powered by Citymapper
Proven, accurate rider data from a trusted journey‑planning leader.

Citymapper is a globally acclaimed transit app used by over 50 million riders across 100+ cities. Winner of Google’s Editor’s Choice and App of the Year, it curates real-time multimodal trip data—origin, destination, wait time, transfers, and more.

That same rich, journey data fuels Ridership Modeling—giving you high-resolution, O‑D insights and hyper-local demand signals grounded in real-world mobility behavior. The result? Predictions and scenario analysis you can trust, trained on millions of trips planned. 

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King County Metro used Ridership Modeling for a major network redesign.

Get on the list for your Ridership Modeling trial.

We’re offering a free trial for a select group of eligible agencies. Sign up to get on the waitlistwe’ll be in touch as spots become available.