Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 5 of 5 for “"Shared e-scooter"”.
-
Shared E-scooter Adoption and Mode Substitution Patterns
… the adoption and mode substitution patterns of e-scooters using survey data from four metropolitan areas in the southern United States, obtained from Fall 2019 to Spring 2020. For adoption patterns, we find a positive correlation between the use of ridehailing services and being an e-scooter user, …
-
Deep Learning for Short-Term Spatiotemporal Prediction of Shared Dockless E-Scooter Demand: Grid-Based Representation, Temporal Input Design, and Day-Type-Aware Model Benchmarking
Shared electric scooter (e-scooter) systems exhibit dynamic spatiotemporal demand patterns, making accurate short-term prediction critical for fleet rebalancing and operations. Despite growing interest in shared micromobility demand prediction, literature still lacks a coherent image-based deep …
-
Simulation Modeling of Calgary's E-Scooter System
Shared micromobility is a rapidly growing transportation technology, with several companies establishing e-bike and e-scooter programs in cities across the globe. This thesis analyzes two years of empirical data on e-scooter usage from a shared mobility pilot program in the City of Calgary to …
-
For the Fun of It: A Culture Theory Study on How Fun Informs E-scooter Experiences
The rising popularity of shared e-scooters within urban transportation systems represent a shift towards low carbon alternatives yet there remain limited investigations into the affective dimensions, such as experiences of fun, within e-scooter consumption. By focusing on the consumptive …
-
Travel Behavior Dynamics in Multimodal Urban Transportation Systems: Public Transit and Active Mobility
… determinants of risky riding behavior among shared e-scooter users, a rapidly expanding micromobility mode. The analysis reveals that unsafe riding attitudes and riding confidence are the most influential predictors of risk engagement, while accident experience, infrastructure suitability, …