In recent years, shared e-scooters have emerged as a convenient, sustainable, and user-friendly alternative to automobile use for short trips in urban settings. Since 2017, many shared e-scooter pilot programs and deployments have been introduced across the US, leading to an expansion of shared e-scooter operations to 110 cities and 248 different e-scooter systems in 2021. The rapid growth of shared e-scooter services necessitates a study of spatiotemporal patterns of e-scooter usage and their potential impact on congestion reduction at the local level. This study, using data from a 2021–2022 shared e-scooter pilot program, delved into the temporal and spatial patterns of e-scooter trips in Birmingham, AL. The temporal analysis focused on temporal variations of trip characteristics, including number of trips, trip duration, and travel distance. The spatial analysis examined the locations of trips’ origins, destinations, and directions. Furthermore, e-scooter trips were integrated into a comprehensive simulation model of the Birmingham region, which was used to document impacts on traffic operations for various levels of e-scooter market penetration. The results revealed significant seasonal trends in e-scooter demand and clustering of shared e-scooter trip origins and destinations around a university campus and leisurely activities’ hubs. While some modal shifts occurred when e-scooter services were introduced, their impacts on network operations were minimal. These findings are expected to provide valuable insights for city planners, transportation officials, and micromobility service providers, aiding in informed decisions regarding infrastructure development, policy formulation, and resources allocation in the future.