Ridership Methodology Study
Ridership data is a critical source of information for transit agencies to assess existing service, estimate customer needs, monitor trends, and benchmark with their peers. As agencies modernize their technology portfolios with tools such as smart fare systems and automatic passenger counting systems, available methods for counting ridership are evolving. Bridging the differences between ridership data obtained by various collection methods is an important challenge to overcome to continue supporting effective cross-comparison, both between agencies and year-over-year for the same agency. CUTA is studying ridership data collection methodologies and how their results can be correlated.