Why Do People Take E-Scooter Trips? Insights on Temporal and Spatial Usage Patterns of Detailed Trip Data

•Spatiotemporal evaluation of micromobility data can support data-driven decisions.•Unsupervised machine learning identified five distinct e-scooter usage patterns.•The most popular type (29%) of e-scooter was daytime short errand trips.•Only 16% of trips were nighttime entertainment district trips.•E-scooter ridership increases during weekends and summer months in general.