Abstract

Data on shared e-scooters in Louisville, Kentucky are analyzed. The data includes check out times, trip duration, and trip distance. Patterns in usage are evaluated and suggest that e-scooters are probably not being used for commute trips, but potentially could be for short commutes. Daily weather data is linked to daily count data to analyze how average temperature, wind speed, precipitation and snow affects usage. Higher average temperatures are not associated with more trips but do lead to longer and faster trips. Rain and snow reduce usage while higher winds slightly reduce trip distances. An estimate of current revenue from the existing system is about $500/day.