We use proprietary machine learning to differentiate bikes and pedestrians from vehicular traffic. Identify where active transportation happens most, target where investments can boost activity, and measure the impact of your decisions — right from your desktop!
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StreetLight mobility Essentials package now available as a stand-alone metric for bike and pedestrian traffic
ORIGIN DESTINATION
Trip volume between and within zones to identify demand
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Route alternatives to measure success of current infrastructure
TRIP ATTRIBUTES
Travel distance, time, speed to address safety and first- and last-mile connections
TRAVELER ATTRIBUTES
Demographics and inferred trip purpose to ensure access to affordable options
StreetLight Multimode Webinar
Laura Schewel and Teresa Tapia demonstrate how StreetLight is used for deploying Active Mode infrastructure and tracking its impact.
WATCH WEBINAR
StreetLight Multimode Webinar
Laura Schewel and Teresa Tapia demonstrate how StreetLight is used for deploying Active Mode infrastructure and tracking its impact.
WATCH WEBINAR
Success Story: Bike-Ped Infrastructure Investment Analysis
Viewable travel patterns and multiple metrics allow for developing equitable, multi-objective criteria to identify bicycle and pedestrian movements throughout California, to support prioritization for new active transportation infrastructure investments.
View Caltrans Project
Multimode Methodology and Validation
We are transparent about sharing the methodology for deriving our active transportation metrics, and the validation supporting the data. Learn how our metrics focus on commuter and household travel rather than fitness travel.
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2019 & 2020 Bike/Ped Metrics
Talk to us about getting access to on-demand bicycle and pedestrian metrics today.
