Bike-sharing network planning is hard

Planning bike-sharing networks requires community input, effective redistribution strategies, and buy-in from municipalities and operators. That's a lot to manage especially with thin margins and unclear metrics.

  • Community Input
  • Redistribution
  • Institutional Support

BikePath helps you re-engineer your system.

Turn the power of simulation into an effective tool.

  • Model Demand with Real Data

    Turn ridership data into valuable insights with rider visualization. Agent-based modeling allows for visualizing individual bikes, riders, and stations.

  • Test Scenarios in Real-time

    What would happen if you added a station, closed a road, or decreased the number of bikes? BikePath lets you test changes on the fly.

  • Minimize Operations Costs

    Understand how redistribution actually affects your system and where there are too many bikes. Our case study finds that Boston could slash its fleet in half.

  • Maximize Network Usage

    Turn insights into real value for riders. BikePath helps you pinpoint bottlenecks and find ways to eliminate them.

  • Maximize Access Equity

    BikePath will help you measure who has access and who does not. Find ways to improve access across the network.

  • Built with Proprietary IP

    BikePath is based on research out of Harvard University with a proprietary model of bike-sharing networks. See how BikePath could impact Boston.

Take the ride

Reach out now to learn more.