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Ridership Modeling in Remix

Predict how riders will move.

Demand-modeling is coming soon. Model demand, predict ridership, and design better networks—using real, current trip data. No PhD required. 

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It’s not a crystal ball, but it’s close.

Predict how riders will respond to your plans—before you put them in motion. Quickly compare scenarios and understand demand-side impact with AI-powered insights.

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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Origin-Destination data from Citymapper.

See where trips start, where they end, and when they happen—powered by real-time data from the Citymapper app.
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Predictive models trained on millions of trips.

Models trained on millions of rider behaviors from Citymapper generate hyper-localized predictions of how your riders will respond to changes.
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Combined with your data and public data.

We blend your GTFS, ridership feeds, public data, and Citymapper rider insights into one model—so you can work with validated, current data.
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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Be the first to explore Ridership Modeling.

We’re offering a Ridership Modeling preview experience for a select group of agencies this summer. Sign up to get on the waitlistif you're eligible, we’ll be in touch as spots become available.