Demand Inference for Free-Floating Micro-Mobility: Accessibility and Availability

The city of Seattle, Portland, and other major US cities have been seeing an increasing amount of deployment and usage of micro-mobility fleets such as electric bikes and scooters. These services quickly gain popularity by providing convenient, cost-effective, and emission-free mobility options to riders. This project develops novel statistical and data analytics methods to infer underlying demand for such services, using only observed trip and vehicle availability data. Its focus is on the more recent (and more popular) free-floating or dock-less services. In short, the methods developed in the proposed project enable municipal agencies and fleet operators to accurately answer the following questions, using data collected from day-to-day operations, such as trip counts and vehicle locations: How many riders would be interested in using the service at each geographic location in the service area if there were always vehicles available within proximity; and How many of them get served (availability) and how good is the service quality (accessibility) — distance a rider must travel to find an available vehicle?

Language

• English

Project

• Status: Active
• Funding: $80000
• Contract Numbers:

  69A3551747110

• Sponsor Organizations:

  Pacific Northwest Transportation Consortium

  University of Washington
  More Hall Room 112
  Seattle, WA  United States  98195-2700

  Office of the Assistant Secretary for Research and Technology

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

  Oregon State University, Corvallis

  Department of Civil Engineering
  202 Apperson Hall
  Corvallis, OR  United States  97331-2302
• Project Managers:

  Yan, Chiwei

• Performing Organizations:

  Oregon State University, Corvallis

  Department of Civil Engineering
  202 Apperson Hall
  Corvallis, OR  United States  97331-2302
• Principal Investigators:

  Yan, Chiwei

• Start Date: 20220316
• Expected Completion Date: 20230630
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Accessibility; Bicycles; Demand; Electric vehicles; Micromobility; Scooters
• Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01872733
• Record Type: Research project
• Source Agency: Pacific Northwest Transportation Consortium
• Contract Numbers: 69A3551747110
• Files: UTC, RIP
• Created Date: Feb 7 2023 5:21PM