Spatial Travel Mode Choice Model for Megaregions in an Autonomous Driving World

There is an increasing interest in incorporating spatial dependency among decision-makers in understanding travel mode choice effects, especially the uptake and use of non-motorized modes (walking and bicycling). Such spatial dependency may be caused by the spillover of neighborhood-level proximity-based unobserved effects. This is particularly important when investigating built environment, demographic, and mode level of service attributes in an emerging autonomous world, because sample sizes for such analyses are based on stated preference experiments that typically collect information from only a small sample size of individuals

Language

• English

Project

• Status: Active
• Funding: $90000
• Contract Numbers:

  69A3551747135

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Performing Organizations:

  Cooperative Mobility for Competitive Megaregions (CM2)

  University of Texas at Austin
  Austin, TX  United States  78712
• Principal Investigators:

  Zhang, Ming

• Start Date: 20211001
• Expected Completion Date: 20230731
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Decision making; Mode choice; Nonmotorized transportation; Spatial analysis
• Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting; Safety and Human Factors;

Filing Info

• Accession Number: 01787033
• Record Type: Research project
• Source Agency: Cooperative Mobility for Competitive Megaregions (CM2)
• Contract Numbers: 69A3551747135
• Files: UTC, RIP
• Created Date: Oct 29 2021 3:48PM