The Impact of Non-Transportation Attitudes, Preferences, and Personality Characteristics on Residential Location and Travel Choices

Transport-related preferences and attitudes have been found to be important determinants of travel choices, given an already-chosen residential location (e.g. Vredin Johansson, Heldt, & Johansson, 2006). The hypothesis the research team will test in the proposed research is that attitudes, preferences, and personality characteristics that are unrelated to transport substantially influence travel choices through their impact on residential location choices. People make choices about where to live based on many factors that are unrelated to transportation. In fact, prior research indicates that transportation-related features of prospective homes are often not a priority in the home choice process (Bina, Kockelman, & Suescun, 2006; Chatman, 2009; Kestens et al., 2004). Despite the lack of attention to transport by some movers, their choice of residential location leads them to travel certain ways by restricting their daily travel choice set. Some people like to live downtown to be in the center of it all. They may not care about using alternative modes of transportation, but they end up using them because that’s what makes sense when you live downtown. Other people want more space, a less expensive home, less noise, better schools, or access to natural areas. They may not love driving, but they end up driving considerable distances each day because that’s what makes sense when you live in places that have these other amenities. The work proposed here builds upon the Year 1 TOMNET project Assembling Integrated Data Sets for Analyzing Connections between Travel Behavior, Attitudes, and the Built Environment, as well as the Year 2 TOMNET project The role of transport in how we choose where to live, and the joint TOMNET project that is the multi-University collaborative survey effort. In Year 1, the team merged three survey data sets that focused on travel choices and attitudes with detailed information from the Zillow corporation about the neighborhoods and specific residences that survey respondents chose to live in. The survey data sets included the 2012 ASU Travel Survey, the 2011 Northern California Commuter Multitasking Survey, and the 2015 California Millennials Survey. In Year 2, the team conducted a qualitative study of how recent homebuyers chose their homes, and the TOMNET survey was planned to include residential location choice questions. In this project, the objective is to use these enriched datasets and the TOMNET survey data to gain an understanding of the relative impact of attitudes on residential location and travel choices. The team will focus on attitudes and preferences that primarily influence residential location choice, and attempt to shed light on their indirect influence on travel choices. The approach will be to estimate statistical models using these datasets, and identify common threads in the findings that indicate generalizability of results.

    Language

    • English

    Project

    • Status: Active
    • Funding: $56466
    • Contract Numbers:

      69A3551747116

    • 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

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

      Center for Teaching Old Models New Tricks

      Arizona State University
      Tempe, AZ  United States  85287
    • Principal Investigators:

      Salon, Deborah

    • Start Date: 20191001
    • Expected Completion Date: 20211001
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers Program

    Subject/Index Terms

    Filing Info

    • Accession Number: 01754999
    • Record Type: Research project
    • Source Agency: Center for Teaching Old Models New Tricks
    • Contract Numbers: 69A3551747116
    • Files: UTC, RiP
    • Created Date: Oct 20 2020 8:34PM