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

Details

• Creators:
  Daziano, Ricardo ; Nozick, Linda K.
• Corporate Creators:
  Cornell University. Dept. of Civil and Environmental Engineering
• Corporate Contributors:
  City University of New York. University Transportation Research Center
• Subject/TRT Terms:
  • Trip generation
  • Travel demand management
  • Urban transportation policy
  • Public transit
  • Rail transit
  • Transportation planning
  • Discrete choice modeling
  • subway crowding
  • multidimensional trip attributes
  • Research Hub
• Resource Type:
  Tech Report
• Geographical Coverage:
  New York (New York) ; Santiago (Chile)
• Corporate Publisher:
  City University of New York. University Transportation Research Center
• Abstract:
  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.
• Format:
  PDF
• Funding:
  49198-29-28
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/35387/dot_35387_DS1.pdf
• File Type:
  [PDF - 2.69 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:183c9776e5885780d9433c17951f0b8a94ca1ba289139ab806267ccbdd69bde1