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.
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Showing 1 to 6 of 6 for “"Shared Micromobility"”.
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Enabling Car-Free Living: Shared Micromobility and Public Transit Interactions in Chicago
Shared micromobility/bikeshare services and public transit both offer travel alternatives to the automobile in urban areas. While these services might be viewed as competitors in the urban mobility space, this thesis argues that each benefits from the other as part of a “package of options” …
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Opportunities and challenges for shared micromobility planning : a case study of Austin dockless scooter-share program
Shared Micromobility consists of a variety of shared, non-automotive personal modes, from traditional station-based bike-sharing to cutting-edge dockless electric scooters (e-scooters). The rise of shared micromobility in the U.S. was attributed to scooter-share programs in many cities such as …
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Examining the Post-Pandemic Role of Shared Micromobility: A Study of Travel Behavior, Policy, and Equity in Motion
… In light of this, this thesis studies shared micromobility systems, a mode of transportation that is especially compelling for a post-pandemic society. Through a series of three experiments, this work: 1) demonstrates how shared micromobility ridership demand and behavior has changed …
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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 …
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Examining the Factors Influencing Bikeshare Use in the UK: Implications for Scheme Planning
Across cities worldwide, shared micromobility, particularly bikeshare, has supported sustainable transport through encouraging active travel, helping to reduce carbon emissions and enhance accessibility. However, schemes have faced planning challenges, leading to inefficient resource allocation and …
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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 …