StreetLight Data Can Now Help Cities Measure Bicycle and Foot Traffic
VentureBeat announces StreetLight Data’s new proprietary machine learning algorithm that can identify bikes and foot traffic as separate from motorized vehicles.
StreetLight Data provides bicycle and pedestrian data to analyze where people travel to and from, at what times, and days. This data helps city officials, engineers, and transportation planners build cutting-edge infrastructure projects. The data can also reveal how new modes of transport are impacting the way people travel — for example, has a new bike lane enhanced transit ridership?
“Our industry has been in the dark for years on bike and pedestrian movement because of the cost and difficulty of data collection,” says StreetLight CEO Laura Schewel. “Now we can shed light on these mobility trends, giving planners the ability to make smart decisions about policy and infrastructure investment.”
Read the full story at VentureBeat
