Assessing Public Opinions on Uber as a Ridesharing Transportation System: Explanatory Analysis and Results of a Survey in Chicago Area

Transportation Network Companies (TNCs) have been facing significant growth in the past few years. Due to remarkable effect of these ridesharing alternatives on people`s travel behavior, travel demand modelers need to modify the key assumptions of the current practical models that are likely to be changed as the new travel modes emerge. In order to better understand the TNCs as a new mode of transportation and to comprehend the characteristics, preferences, and behavior of the people who use ridesharing options, the authors have conducted an internet-based survey of Uber riders in Chicago area. To analyze the effect of this alternative on utilization of other modes of travel, a nested logit model is developed on the second choice of riders in the absence of ridesharing mode. The results of estimated model highlight the influencing factors in shifting mode of travel from passenger car or transit to Uber.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting. Alternate title: Assessing Public Opinions on Uber as a Ridesharing Transportation System: Explanatory Analysis and Results of a Survey in the Chicago, Illinois, Area
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Mahmoudifard, Seyed Mehdi
    • Kermanshah, Amirhassan
    • Shabanpour, Ramin
    • Mohammadian, Abolfazl
  • Conference:
  • Date: 2017

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 16p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01625612
  • Record Type: Publication
  • Report/Paper Numbers: 17-01198
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 8 2017 10:47AM