Latent Vehicle Type Propensity Segments: Considering the Influence of Household Vehicle Fleet Structure

Understanding vehicle type propensities and choices is of interest to academics and practitioners in a wide array of fields. For example, market researchers may study vehicle type choices to predict consumer purchase behaviors and future market shares (Train and Winston, 2007), while energy researchers study individuals’ vehicle type preferences and corresponding driving habits to calculate energy consumption and emissions (Gao et al., 2019). Transportation scholars traditionally study vehicle type to understand and forecast individual and household travel behaviors (Bhat and Sen, 2006), while in recent times, there has been a proliferation of vehicle type studies intended to model the adoption of emerging transport technologies such as electric and automated vehicles (Higgins et al., 2017; Mocanu, 2018). In this study, the research team proposes to investigate vehicle type from a travel behavior perspective, identifying segments with the aim of understanding how personal and household mobility needs, along with a novel range of individual- and household-level characteristics, attitudes, and behaviors, influence vehicle type propensities. Based on the developed model, the team will further examine the relationships between vehicle type propensities, gender roles, attitudes, and current and future travel behavior choices/interests, focus areas that can have policy implications in transportation. The team will fuse multiple datasets, including those pertaining to two surveys (the National Household Travel Survey) completed by the same Georgia respondents, together with targeted marketing and land use data associated with those respondents. Apply latent class cluster analysis to the data, to identify naturally occurring vehicle type segments based on the influence of both individual vehicle type choices and household vehicle fleet structures.


  • English


  • Status: Completed
  • Funding: $131,910
  • Contract Numbers:


  • 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:

    Center for Teaching Old Models New Tricks (TOMNET)

    Arizona State University
    Tempe, AZ  United States  85287
  • Performing Organizations:

    Georgia Institute of Technology, Atlanta

    School of Civil and Environmental Engineering
    790 Atlantic Drive
    Atlanta, GA  United States  30332-0355
  • Principal Investigators:

    Mokhtarian, Patricia

  • Start Date: 20181001
  • Expected Completion Date: 20201001
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01754974
  • Record Type: Research project
  • Source Agency: Center for Teaching Old Models New Tricks (TOMNET)
  • Contract Numbers: 69A3551747116
  • Files: UTC, RIP
  • Created Date: Oct 20 2020 6:06PM