Using Visual Information to Determine the Subjective Valuation of Public Space for Transportation: Application to Subway Crowding Costs in NYC

The objective of this project is to explore the role of visual information in determining the users’ subjective valuation of multidimensional trip attributes that are relevant in decision-making, but are neglected in standard travel demand models. More specifically, this project aims at analyzing overcrowding perceptions in discrete choice experiments, with the use of visualization of passenger density in subway cars. Data will be collected in New York City, but a pretest with a small sample size will be performed with international collaborators in the subway system of Santiago, Chile.

  • Record URL:
  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    Cornell University

    Ithaca, NY  United States  14853

    University Transportation Research Center

    City College of New York
    Marshak Hall, Suite 910, 160 Convent Avenue
    New York, NY  United States  10031

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Authors:
    • Daziano, Ricardo
    • Nozick, Linda
  • Publication Date: 2017-11-30

Language

  • English

Media Info

  • Media Type: Web
  • Edition: Final Report
  • Features: Figures; References; Tables;
  • Pagination: 62p

Subject/Index Terms

Filing Info

  • Accession Number: 01666683
  • Record Type: Publication
  • Contract Numbers: 49198-29-28
  • Files: UTC, NTL, TRIS, ATRI, USDOT
  • Created Date: Apr 3 2018 2:33PM