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Micromobility Analytics in Florida: Usage Patterns, Public Transit Synergies, and Crash Insights

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  • Edition:
    Final Report 03/14/2023 ? 10/31/2024
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  • Abstract:
    Micromobility has become increasingly popular in cities across Florida and the nation, offering a convenient, flexible, and accessible alternative for short-distance travel, particularly for first- and last-mile transportation. However, most areas of Florida and even the nation currently lack a framework and established practices for micromobility analytics, primarily due to an absence of relevant data, to understand their usage patterns, crash patterns, and relationships with public transit. With available data in at least two Florida cities  Jacksonville and Gainesville, this project aims to conduct micromobility analytics with the following goals: (1) to identify micromobility usage patterns and underlying causes; (2) to examine the relationship between micromobility and public transit in Florida, focusing on accessibility and ridership impacts; and (3) to analyze the statewide patterns of crash events involving non-motorists, such as their spatiotemporal distributions and the street characteristics where crashes frequently occur. The main findings are: (1) shared micromobility usage shows distinct temporal patterns and is highly concentrated in a few census tracts across cities; (2) while shared micromobility extends the reach of public transit, its impact on increasing transit ridership is modest; (3) crashes exhibit similar spatiotemporal patterns to usage, with higher usage increasing crash likelihood, and crashes are also closely linked to specific street and location features, such as availability of bike lanes. The insights gained can provide crucial recommendations for micromobility facility planning, including device and location choices, infrastructure improvements, and rebalancing strategies, to improve system efficiency, encourage use, reduce crashes, and enhance integration with public transit in Florida.
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    urn:sha-512:07547ed6a112d82ce40f39a22dd51216a6713144115d29a8bddec782000feb5d13504b92eb58dfc381af67a7ac9d041cef58068dbb2a8b8f1ff9f4076e5ae009
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English
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