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Leveraging Mobility Data Analytics to Inform Mobility Hub Development in Florida [Brief]

File Language:
English


Details

  • Creators:
    Yan, Xiang Jacob
  • Corporate Creators:
    University of Florida (Gainesville)
  • Corporate Contributors:
    Florida Department of Transportation
  • Subject/TRT Terms:
  • Resource Type:
    Brief
  • Geographical Coverage:
  • Corporate Publisher:
    Florida Department of Transportation
  • Abstract:
    Mobility hubs (MHs) can facilitate seamless transitions between various transportation modes, such as transit, ridehailing, and micromobility, enhancing multimodal travel and delivering socioeconomic benefits. To inform mobility hub planning and development in Florida cities and beyond, this project develops a multi-criteria, GIS-based MH site selection tool. The tool prioritizes factors such as multimodal travel needs, first-/last-mile connectivity, and socio-demographic considerations in the MH site selection process. Through an application of the tool in Gainesville, Florida, we have identified 17 potential MH sites, categorized into neighborhood, district, and regional levels. Survey findings reinforce the significance of MH to facilitate multimodal connectivity and reveal preferences for hub locations that align with residents’ travel patterns. Key mobility hub features strongly desired by Gainesville travelers include parking, bike/e-scooter racks, and non-transportation amenities such as safety features and digital displays. We have further tested the tool in the City of West Palm Beach, and the results demonstrate its broader applicability. This research offers a strategic roadmap and practical guidelines for cities to enhance transportation networks and support urban development through the implementation of well-planned MHs. The research team’s extensive collaboration with the City of Gainesville and subsequent funding from the U.S. Department of Energy to support the development of climate-controlled shelters at selected MH sites underscores the practical impact of this research.
  • Format:
    PDF
  • Funding:
    BED31-977-14
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:dda582dcfc033dd17109e6ddc031f82cb37d5d5d1031540f556500bc24044bd152544628c3afdcf02470c2320c9c7172fc7944e986b035382940f136730574cb
  • Download URL:
  • File Type:
    Filetype[PDF - 159.16 KB ]
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