Simulating the potential of microtransit in Metro Detroit
Smart Detroit evaluates the feasibility of microtransit in southeast Michigan to identify the most optimal structure for four new on-demand zones.
Mobility solutions are complex as each community has its own infrastructure, movement patterns, and transportation system. Using data-driven decisions making is the best way to plan and improve your service.
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Planning a transit service can be difficult. By utilizing simulations, better understand how a system-wide operation will perform in your community.
Spare Analyze collects data from many sources and provides meaningful insights in order to ensure you can make data-driven decisions.
Clear visualizations help you understand how riders are utilizing your services, both fixed route and on-demand microtransit, making it easy to communicate valuable data.
Uncover transit deserts, underserved communities, and more using detailed supply/demand predictions.
Understand the effect of a new transportation service on existing routes and ridership.
All of our simulations are run by our Spare Data Science team to ensure we’re translating data into actionable insights.
Learn how we're impacting communities around the world.
Smart Detroit evaluates the feasibility of microtransit in southeast Michigan to identify the most optimal structure for four new on-demand zones.
Collin Country Transit simulated the use of microtransit to connect riders in rural and suburban areas to the Dallas metropolitan zone.