Optimizing Bus Schedules to Best Serve Changing Commute Patterns
Bay Area public transit agency SamTrans needed to respond to shifts in commuting patterns as a result of COVID. They sought to find out why ridership on a previously popular express bus route to San Francisco had dropped disproportionately versus other modes. Streetlight’s Origin-Destination Metrics helped SamTrans:
Understand commuter behavior, including shorter stays downtown
Analyze vehicle demand to see how the pandemic affected commutes overall
Boost ridership by 30% after making adjustments to the schedule
Learn how, like SamTrans, you can apply StreetLight Metrics to any transit or transportation demand management project seeking to reorient services and programming to fit the new commute landscape.
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“We can now keep track of travel behavior trends in a way that hasn’t been possible before. Accessing accurate and timely trip origins and destinations allows us to quickly plan better service”
Jonathan Steketee
Manager of Operations Planning at SamTrans
Your biggest transportation challenges require better analytics
Origin-Destination for multiple modes
Granular, on-demand Metrics segmented by time of day and day of week
Layer on demographics, trip attributes, and more
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Optimizing Bus Schedules to Best Serve Changing Commute Patterns
