Understanding Ride-Hailing Sharing and Matching in Chicago Using Travel Time, Cost, and Choice Models

Ride-hailing data is sparingly available throughout the U.S., which limits researchers’ understanding of the mode. Chicago is one of a few cities that have mandated ride-hailing companies to submit detailed trip data to their local transportation agency. The dataset is one of the few to contain trip-level attributes such as fare, travel time, and trip length. Most research using the Chicago dataset has focused on understanding why people use ride-hailing. This study focuses on why ride-hailing passengers choose shared over private trips and what influences the shared trips to be matched. Trips to/from airports are less likely to be shared. Trips to/from low-income areas are more likely to be shared. Longer shared trips are more likely to be matched, shared trips to/from dense areas are more likely to be matched, and shared trips between areas with a high number of shared trips are more likely to be matched. Matching an additional shared trip with another adds approximately 4?min to a trip. Ride-hailing users’ value of time is found to be $48.23 per hour. Understanding travel behavior is important for all modes of transportation including ride-hailing. The results of this paper can be applied to guide polices aiming to promote more sustainable transportation modes.

• Record URL:
  • https://doi.org/10.1177/03611981231173636
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
• Supplemental Notes:
  • Richard (Alex) Mucci https://orcid.org/0000-0002-7217-6836© National Academy of Sciences: Transportation Research Board 2023.
• Authors:
  • Mucci, Richard (Alex)
  • 0000-0002-7217-6836
  • Erhardt, Gregory D
  • 0000-0001-8133-3381
• Publication Date: 2024-2

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 293-306
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Volume: 2678
  • Issue Number: 2
  • Publisher: Sage Publications, Incorporated
  • ISSN: 0361-1981
  • EISSN: 2169-4052
  • Serial URL: http://journals.sagepub.com/home/trr

Subject/Index Terms

• TRT Terms: Choice models; Data collection; Ridesharing; Ridesourcing; Travel costs; Travel time
• Geographic Terms: Chicago (Illinois)
• Subject Areas: Finance; Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01884742
• Record Type: Publication
• Files: TRIS, TRB, ATRI
• Created Date: Jun 9 2023 9:24AM