What Is the New Normal? An Analysis of Post-COVID-19 Commute and Work Patterns

The study is addressing the following questions: (1a) What are the adoption rates and frequencies of working from home in Spring 2022 (representing at least the “back side” of the COVID-19 pandemic, if not yet completely post-COVID), and what are the intentions to continue to work remotely in the future? (1b) What demographic, geographic, and attitudinal characteristics are associated with adoption/non-adoption, higher or lower frequencies? (2a) What is the distribution of one-way commute lengths, and how has that distribution changed since before COVID-19? (2b) Putting one-way commute lengths together with commute frequencies, what is the distribution of total weekly commute distance traveled, and how has that distribution changed since before the pandemic? (2c) What socio-economic and other characteristics are associated with one-way commute lengths and total weekly commute distances? (3) How have the shares of commute modes changed since before the pandemic, and what characteristics are associated with those changes? To address these questions, we have designed, and are in the process of fielding, an online survey of employed Georgia residents. The study team is recruiting approximately 2000 respondents through an online opinion panel vendor (Qualtrics). Ultimately, the team will also develop models of key behavioral indicators, to enable them to control for multiple behavioral influences simultaneously.


    • English


    • Status: Completed
    • Funding: $130726
    • 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
    • Project Managers:

      Pendyala, Ram

    • Performing Organizations:

      Georgia Institute of Technology

      275 Ferst Drive NW
      Atlanta, GA  United States  30332-0150
    • Principal Investigators:

      Mokhtarian, Patricia

    • Start Date: 20210801
    • Expected Completion Date: 20220731
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers Program

    Subject/Index Terms

    Filing Info

    • Accession Number: 01868139
    • Record Type: Research project
    • Source Agency: Center for Teaching Old Models New Tricks (TOMNET)
    • Files: UTC, RIP
    • Created Date: Dec 21 2022 10:56AM