Modeling the Demand for Shared E-Scooter Services
Source: Transportation Research Record: Journal of the Transportation Research Board
Presents the findings on modeling demand for shared e-scooter services. Results reveal demand is more likely to be higher during summer, mid-day on weekends, afternoons of weekdays, and days without rainfall. Higher e-scooter index, higher density of cycle tracks, heterogeneous land use, urban centers, lower elevation, and neighborhoods with higher density of hotels and younger population may induce higher demand.
