Ride-Sourcing Demand and Supply Estimation Based on Coarse Public Data

Ride-sourcing platforms like Uber and Lyft have transformed urban transportation, yet their impacts on transit ridership, congestion, and emissions remain challenging to assess due to limited data access. This research tackles the lack of granular ride-sourcing data by developing regression, gravity, and network equilibrium models to estimate trip demand and supply distribution at finer spatial resolutions. Using Massachusetts town-level data as a baseline, the project incorporates high-resolution socioeconomic, land-use, and transportation data to predict trip patterns and driver availability. Outputs include a practical tool for government agencies and driver organizations to analyze ride-sourcing markets, improving operational decisions and supporting safety, equity, and sustainability goals.

Language

• English

Project

• Status: Active
• Funding: $100000
• Contract Numbers:

  69A3552348301

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  University of Massachusetts, Amherst

  Department of Civil and Environmental Engineering
  130 Natural Resources Road
  Amherst, MA  United States  01003
• Performing Organizations:

  University of Massachusetts, Amherst

  Department of Civil and Environmental Engineering
  130 Natural Resources Road
  Amherst, MA  United States  01003
• Principal Investigators:

  Gao, Song

• Start Date: 20240901
• Expected Completion Date: 20250831
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program
• Subprogram: University Transportation Centers

Subject/Index Terms

• TRT Terms: Data analysis; Forecasting; Market assessment; Ridesourcing; Spatial analysis; Travel demand
• Geographic Terms: Massachusetts
• Subject Areas: Data and Information Technology; Passenger Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01938988
• Record Type: Research project
• Source Agency: New England University Transportation Center
• Contract Numbers: 69A3552348301
• Files: UTC, RIP
• Created Date: Dec 9 2024 9:57AM