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Multitasking while driving: a time use study of commuting knowledge workers to access current and future uses

Author

Listed:
  • Teodorovicz, Thomaz
  • Kun, Andrew L.
  • Sadun, Raffaella
  • Shaer, Orit

Abstract

Commuting has enormous impact on individuals, families, organizations, and society. Advances in vehicle automation may help workers employ the time spent commuting in productive work-tasks or wellbeing activities. To achieve this goal, however, we need to develop a deeper understanding of which work and personal activities are of value for commuting workers. In this paper we present results from an online time-use study of 400 knowledge workers who commute-by-driving. The data allow us to study multitasking-while-driving behavior of com-muting knowledge workers, identify which non-driving tasks knowledge workers currently engage in while driving, and the non-driving tasks individuals would like to engage in when using a safe highly automated vehicle in the future. We discuss the implications of our findings for the design of technology that supports work and wellbeing activities in automated cars.

Suggested Citation

  • Teodorovicz, Thomaz & Kun, Andrew L. & Sadun, Raffaella & Shaer, Orit, 2022. "Multitasking while driving: a time use study of commuting knowledge workers to access current and future uses," LSE Research Online Documents on Economics 117830, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:117830
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    File URL: http://eprints.lse.ac.uk/117830/
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    References listed on IDEAS

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    1. Malokin, Aliaksandr & Circella, Giovanni & Mokhtarian, Patricia L., 2019. "How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarios," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 82-114.
    2. Ed Diener & Louis Tay, 2014. "Review of the Day Reconstruction Method (DRM)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(1), pages 255-267, March.
    3. James J. Heckman, 2015. "Introduction to A Theory of the Allocation of Time by Gary Becker," Economic Journal, Royal Economic Society, vol. 0(583), pages 403-409, March.
    4. Alan B. Krueger & Daniel Kahneman & David Schkade & Norbert Schwarz & Arthur A. Stone, 2009. "National Time Accounting: The Currency of Life," NBER Chapters, in: Measuring the Subjective Well-Being of Nations: National Accounts of Time Use and Well-Being, pages 9-86, National Bureau of Economic Research, Inc.
    5. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    6. Christopher L. Foote & Richard W. Ryan, 2015. "Labor-Market Polarization over the Business Cycle," NBER Macroeconomics Annual, University of Chicago Press, vol. 29(1), pages 371-413.
    7. Krueger, Alan B. (ed.), 2009. "Measuring the Subjective Well-Being of Nations," National Bureau of Economic Research Books, University of Chicago Press, number 9780226454566, December.
    8. Imre Keseru & Cathy Macharis, 2018. "Travel-based multitasking: review of the empirical evidence," Transport Reviews, Taylor & Francis Journals, vol. 38(2), pages 162-183, March.
    9. Mustapha Harb & Yu Xiao & Giovanni Circella & Patricia L. Mokhtarian & Joan L. Walker, 2018. "Projecting travelers into a world of self-driving vehicles: estimating travel behavior implications via a naturalistic experiment," Transportation, Springer, vol. 45(6), pages 1671-1685, November.
    10. Dannemiller, Katherine A. & Mondal, Aupal & Asmussen, Katherine E. & Bhat, Chandra R., 2021. "Investigating autonomous vehicle impacts on individual activity-travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 402-422.
    11. Alan B. Krueger, 2009. "Measuring the Subjective Well-Being of Nations: National Accounts of Time Use and Well-Being," NBER Books, National Bureau of Economic Research, Inc, number krue08-1, March.
    12. Krueger, Alan B. (ed.), 2009. "Measuring the Subjective Well-Being of Nations," University of Chicago Press Economics Books, University of Chicago Press, number 9780226454573, September.
    13. Mark Aguiar & Erik Hurst & Loukas Karabarbounis, 2013. "Time Use during the Great Recession," American Economic Review, American Economic Association, vol. 103(5), pages 1664-1696, August.
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    More about this item

    Keywords

    in-vehicular user interfaces; time-use study; automated vehicles; knowledge workers; commuting;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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