StreetLight multimodal resource library

BIKE PED Webinar image


Bike and Pedestrian Analytics

Proprietary machine learning differentiates bikes and pedestrians from vehicular traffic. Identify where active transportation happens most and measure the impact of your decisions.

Watch Webinar
Bike Tourism Case Study Cover Image


Virginia Bike Tourism: Measuring Economic Impact

Planners knew that tourists visited the Virginia Capital Trail, but they didn’t have metrics for measuring bicycle tourism’s economic impact. They turned to Big Data for detailed information about bike and pedestrian trips.

Read Case Study


Multimodal Planning in the City of Toronto

Analytics informed planning studies for “Gateway Mobility Hubs” that will provide convenient, affordable, multimodal modes and improve connections to transit options in Toronto’s outskirts.

Read Case Study


Active Transportation Metrics: Methodology and Validation

A brief summary of StreetLight’s active transportation metrics, methodology, and validation.

Read Whitepaper

Talk to Us

Get on-demand data to empower your transportation decisions