Fighting for Curb Space: Micro-Simulation [supporting dataset]

This study conducted a comprehensive literature review on several topics related to curb space management, discussing various users (e.g., pedestrians, bicycles, transit, taxis, and commercial freight vehicles), summarizing different experiences, and focusing the discussion on Complete Street strategies. Moreover, the authors reviewed the academic literature on curbside and parking data collection, and simulation and optimization techniques. Considering a case study around the downtown area in San Francisco, the authors evaluated the performance of the system with respect to a number of parking behavior scenarios. The authors developed a parking simulation in SUMO following a set of parking behaviors (e.g., parking search, parking with off-street parking information availability, double-parking). These scenarios were tested in three different (land use-based) sub-study areas representing residential, commercial and mixed-use. The data contains the geographic information system (GIS) information of the three study areas, and the SUMO scripts.

• Record URL:
  https://doi.org/10.7922/G22N50JJ
• Dataset URL:
  https://doi.org/10.25338/B81W61
• Supplemental Notes:
  • The dataset supports report: Fighting for Curb Space: Parking, Ride-Hailing, Urban Freight Deliveries, and Other Users, available at the URL above. This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  University of California, Davis

  Institute of Transportation Studies
  Davis, CA  United States  95616

  California Department of Transportation

  Division of Research, Innovation and System Information
  1727 30th Street, MS 83
  Sacramento, CA  United States  95816

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Jaller, Miguel
  • 0000-0003-4053-750X
  • Rodier, Caroline
  • 0000-0002-9107-5547
  • Zhang, Michael
  • 0000-0002-4647-3888
  • Lin, Huachao
  • 0000-0002-7506-4434
  • Lewis, Kathryn
  • 0000-0002-5114-2645
• Publication Date: 2021-6-24

Language

• English

Media Info

• Media Type: Dataset
• Dataset publisher:

  Dryad

  ,    

Subject/Index Terms

• TRT Terms: Behavior; Case studies; Complete streets; Curb side parking; Data; Geographic information systems; Land use; Microsimulation
• Identifier Terms: SUMO (Traffic simulation model)
• Geographic Terms: San Francisco (California)
• Subject Areas: Data and Information Technology; Freight Transportation; Highways;

Filing Info

• Accession Number: 01778588
• Record Type: Publication
• Contract Numbers: USDOT Grant 69A3551747114
• Files: UTC, TRIS, ATRI, USDOT, STATEDOT
• Created Date: Aug 3 2021 9:25AM