Implementing and Evaluating Machine Learning Algorithms for Bikeshare System Demand Prediction

A bikeshare (public bicycle, or bicycle-sharing) system is a service in which bicycles are made available for shared use to individuals on a short-term basis for a price or free. Bikeshare systems have increased from operating in a few European cities to expanding in the United States at an increasing pace. Many bikeshare systems allow users to borrow a bike from a station and return it at another station belonging to the same system. The goal is to encourage cycling as a mode of transportation as well as recreation. Nevertheless, the flexibility to pick up and return bicycles at any station can lead to inventory imbalances in the system. To enhance the effectiveness of the system, bikeshare operators should implement suitable methods to realign resources, guided by precise forecasts of bicycle demand. This research endeavors to develop models for Houston bikeshare system demand prediction at the station level by leveraging data on station activities. Accurate prediction of bikeshare demand has the potential to transform the way these systems are managed and integrated into urban transportation networks, leading to improved efficiency, customer satisfaction, and sustainability.

• Record URL:
  https://ncst.ucdavis.edu/project/implementing-and-evaluating-machine-learning-algorithms-bikeshare-system-demand-prediction

Language

• English

Project

• Status: Active
• Funding: $200000
• Contract Numbers:

  DOT 69A3552348319

  DOT 69A3552344814

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  Texas Southern University, Houston

  3100 Cleburne Street
  Houston, TX  United States  77004
• Managing Organizations:

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  University of California, Davis

  1 Shields Ave
  Davis, California  United States  95616

  Texas Southern University, Houston

  3100 Cleburne Street
  Houston, TX  United States  77004
• Project Managers:

  Iacobucci, Lauren

• Performing Organizations:

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  Texas Southern University, Houston

  3100 Cleburne Street
  Houston, TX  United States  77004
• Principal Investigators:

  Azimi, Mehdi

  Yu, Lei

• Start Date: 20240301
• Expected Completion Date: 20250228
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Bicycle travel; Bicycles; Forecasting; Machine learning; Travel demand; Vehicle sharing
• Geographic Terms: Houston (Texas)
• Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01903589
• Record Type: Research project
• Source Agency: National Center for Sustainable Transportation
• Contract Numbers: DOT 69A3552348319, DOT 69A3552344814
• Files: UTC, RIP
• Created Date: Dec 27 2023 5:50PM