Travel Mode Choice Model for Mega-Regions in an Autonomous Driving World

Studies in residential self-selection literature, which use attitudinal factors to model the jointness of residential and travel-related choices, assume a unidirectional impact from attitudes to behavior; however, such an assumption may be violated under several circumstances. In this study, the authors allow the error terms of the attitudinal factors to be correlated with the main outcomes as the authors jointly model residential choice, auto-ownership level and ranked-based modal preferences. In their joint model, the authors use Green Lifestyle Propensity (GLP) and Luxury Lifestyle Propensity (LLP) as the two stochastic latent constructs. The empirical data for this study is drawn from the 2019 multi-city Transformative Technologies in Transportation (T4) Survey for the city of Austin that elicited information regarding individuals’ residential location, auto-ownership, and modal preferences through a stated preference experiment in a futuristic AV environment. Results indicate significant unobserved correlations between the latent constructs and the main outcomes; ignoring such endogeneity leads to underestimations of the “true” causal effect of high-density neighborhood (HDN) living on travel-related choices, which can have consequences for policy-making. In this analysis, the “true” causal effect of HDN living on auto-ownership suggests that, on average, the auto-ownership level would reduce by about 29% when an individual is shifted from a non-HDN to an HDN. Furthermore, the probability of using the bicycle mode for non-work pursuits is estimated to increase by 8%, and that of using a private vehicle is estimated to decrease by 3.1%, when individuals are moved from a non-HDN to an HDN.

• Record URL:
  • https://sites.utexas.edu/cm2/files/2024/12/No.67_Year6_Bhat_Travel-Mode-Choice-Model-for-Megaregions-in-an-Autonomous-Driving-World.pdf
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  University of Texas, Austin

  School of Architecture
  Austin, TX  United States  78712-1075

  Cooperative Mobility for Competitive Megaregions (CM2)

  University of Texas at Austin
  Austin, TX  United States  78712

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Bhat, Chandra
  • 0000-0002-0715-8121
  • Mondal, Aupal
• Publication Date: 2024-9

Language

• English

Media Info

• Media Type: Digital/other
• Features: Appendices; Figures; References; Tables;
• Pagination: 49p

Subject/Index Terms

• TRT Terms: Attitudes; Automobile ownership; Autonomous vehicles; Mode choice; Population density; Residential location; Stated preferences
• Geographic Terms: Austin (Texas)
• Subject Areas: Planning and Forecasting; Safety and Human Factors; Transportation (General); Vehicles and Equipment;

Filing Info

• Accession Number: 01941912
• Record Type: Publication
• Report/Paper Numbers: CM2-67
• Contract Numbers: 69A3551747135
• Files: UTC, TRIS, USDOT
• Created Date: Jan 8 2025 9:40AM