Good-quality bus trip data is essential to plan for efficient and consistent transit. Deriving transit metrics from Big Data can help transportation planners and transit agencies with many use cases including ridership estimation across transit networks for any given month and deep dives into bus rider demographics that can aid Title VI requirements.
We have recently enhanced our methodology, resulting in better bus trip classification and sample expansion across time and space. Learn more about our methodology and validation, including:
- Our process for mode classification to identify transit movements
- The proprietary machine-learning methodology for estimating Bus Index
- Validation studies comparing StreetLight’s Metrics against ground-truth bus ridership data and national travel surveys
Transportation professionals across North America trust our bus metrics. Download our white paper to see our extensive analysis.
