Inside King County Metro's redesign: predicting ridership impact in Remix

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7 ways webinar (1) | HubSpot Video

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An overview.

What if you could see the impact of network changes before you put them into motion?

King County Metro did exactly that by piloting Remix’s new travel demand tool, Ridership Modeling—powered by Citymapper’s real-world mobility data. The result: a more rider-centric network shaped by actual travel behavior and AI-driven forecasts. This webinar walks you through how you can model demand, visualize travel patterns, and predict ridership impacts—all within the Remix platform you already know and love.

The key takeaways:

Curious to learn more? Take a look at the full King County Metro story here.

About the speakers

Melissa Gaughan
Senior Business Analyst, King County Metro

Melissa is a Senior Business Analyst at King County Metro, where she leads work on analytics, data tools, and process automation. She’s known for turning complex datasets into clear, actionable insights and for supporting teams across the agency as they adopt new technology and data-driven workflows.

Tobias Bartsch
VP of Data Science, Via

Tobias serves as Via’s VP of Data Science, guiding the development of the predictive models and optimization tools that underpin thousands of daily transit decisions. His work helps agencies understand rider behavior, improve service performance, and deploy resources more effectively.

David Frances
Director of Product Management, Via

David is the Director of Product Management at Via, where he leads the Citymapper product. He oversees the vision and development of tools that help riders plan journeys seamlessly and help cities understand real-world mobility patterns.