Cities can successfully make paid parking management decisions using robust data and active community engagement. San Francisco, Seattle, and several other cities have taken varied approaches to performance or variable paid parking programs where large data sets are collected and used to evaluate parking conditions and make management decisions. Cities also share data through Open Data programs and are working together to develop a common, more standardized approach to data collection, warehousing, and management.
This is a chance to talk with parking staff from cities who have successfully implemented innovative programs about how we make decisions about changing rates, installing paid parking, collecting accurate data, and setting and using performance metrics.