Making Multimodal Mobility Visible: A Data-First Approach to Bike-on-Bus Transportation

As transit agencies focus on making sustainable, multimodal trips easier for riders, one important part of the journey remains largely invisible to cyclists: whether an arriving bus can accommodate a bicycle.

Without reliable information on bike rack availability, riders face uncertainty, agencies lack consistent usage data and planners have fewer tools to understand where bike-transit connections are succeeding or where additional investment may be needed. As the number of cyclists grows and agencies pursue more integrated mobility networks, this gap becomes more consequential.

Our joint analysis with Sportworks examines the rapidly changing landscape of multimodal mobility and what transit agencies can do to adapt.

Automated bike rack tracking

Automated tracking technologies can help close this information gap with sensors that report when and where bus bike racks are in use and aggregate continuous, vehicle-level data into fleet-wide insights that benefit multi-modal riders and transit planners. When paired with route, stop and time-of-day information, agencies can better understand where multimodal demand is highest, how it changes throughout the day and where riders may benefit from additional bike facilities, service adjustments or clearer real-time information.

An examination of recent pilot efforts shows how sensor-based systems capture bike rack occupancy and translate that information into actionable planning and operational insights. The findings suggest that automated tracking can support route-level demand analysis, fleet deployment decisions, capacity planning, maintenance strategies and improved rider confidence. It also highlights the value of connecting this data to broader planning questions, including station-area bike parking, major event planning and future real-time rider information systems.

Why it matters for agencies and riders

For riders, real-time visibility into transit bike accommodation can reduce uncertainty and support more dependable trip planning. For agencies, continuous data can inform more targeted investments and better operational decisions.

Instead of relying solely on isolated studies, agencies can develop a clearer picture of where bicycles are being carried, where demand may exceed capacity and how multimodal travel patterns shift during special events, seasonal changes or major service disruptions.