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How do activities conducted while commuting influence mode choice? Using revealed preference models to inform public transportation advantage and autonomous vehicle scenarios

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  • Malokin, Aliaksandr
  • Circella, Giovanni
  • Mokhtarian, Patricia L.

Abstract

From early studies of time allocation onward, it has been acknowledged that the “productive” nature of travel could affect its utility. Currently, at the margin an individual may choose transit over a shorter automobile trip, if thereby she is able to use the travel time more productively. On the other hand, recent advancements toward partly/fully automated vehicles are poised to revolutionize the perception and utilization of travel time in cars, and are further blurring the role of travel as a crisp transition between location-based activities. To quantify these effects, we created and administered a survey to measure travel multitasking attitudes and behaviors, together with general attitudes, mode-specific perceptions, and standard socioeconomic traits (N = 2229 Northern California commuters). In this paper, we present a revealed preference mode choice model that accounts for the impact of multitasking attitudes and behavior on the utility of various alternatives. We find that the propensity to engage in productive activities on the commute, operationalized as using a laptop/tablet, significantly influences utility and accounts for a small but non-trivial portion of the current mode shares. For example, the model estimates that commuter rail, transit, and car/vanpool shares would respectively be 0.11, 0.23, and 1.18 percentage points lower, and the drive-alone share 1.49 percentage points higher, if the option to use a laptop or tablet while commuting were not available. Conversely, in a hypothetical autonomous vehicles scenario, where the car would allow a high level of engagement in productive activities, the drive-alone share would increase by 1.48 percentage points. The results empirically demonstrate the potential of a multitasking propensity to reduce the disutility of travel time. Further, the methodology can be generalized to account for other properties of autonomous vehicles, among other applications.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:transa:v:124:y:2019:i:c:p:82-114
    DOI: 10.1016/j.tra.2018.12.015
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    1. Mokhtarian, Patricia L., 2016. "Discrete choice models’ ρ2: A reintroduction to an old friend," Journal of choice modelling, Elsevier, vol. 21(C), pages 60-65.
    2. Mattias Gripsrud & Randi Hjorthol, 2012. "Working on the train: from ‘dead time’ to productive and vital time," Transportation, Springer, vol. 39(5), pages 941-956, September.
    3. Zhi Dong & Patricia Mokhtarian & Giovanni Circella & James Allison, 2015. "The estimation of changes in rail ridership through an onboard survey: did free Wi-Fi make a difference to Amtrak’s Capitol Corridor service?," Transportation, Springer, vol. 42(1), pages 123-142, January.
    4. Mokhtarian, Patricia L. & Salomon, Ilan, 2001. "How derived is the demand for travel? Some conceptual and measurement considerations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(8), pages 695-719, September.
    5. Nobuaki Ohmori & Noboru Harata, 2008. "How Different Are Activities While Commuting By Train? A Case In Tokyo," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 99(5), pages 547-561, December.
    6. Abrantes, Pedro A.L. & Wardman, Mark R., 2011. "Meta-analysis of UK values of travel time: An update," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 1-17, January.
    7. Shires, J.D. & de Jong, G.C., 2009. "An international meta-analysis of values of travel time savings," Evaluation and Program Planning, Elsevier, vol. 32(4), pages 315-325, November.
    8. Stephen DeLoach & Thomas Tiemann, 2012. "Not driving alone? American commuting in the twenty-first century," Transportation, Springer, vol. 39(3), pages 521-537, May.
    9. Ettema, Dick & Friman, Margareta & Gärling, Tommy & Olsson, Lars E. & Fujii, Satoshi, 2012. "How in-vehicle activities affect work commuters’ satisfaction with public transport," Journal of Transport Geography, Elsevier, vol. 24(C), pages 215-222.
    10. Lyons, Glenn & Urry, John, 2005. "Travel time use in the information age," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 257-276.
    11. Giovanni Circella & Patricia L. Mokhtarian & Laura K. Poff, 2012. "A conceptual typology of multitasking behavior and polychronicity preferences," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 9(1), pages 59-107, November.
    12. 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.
    13. Mark Wardman & Glenn Lyons, 2016. "The digital revolution and worthwhile use of travel time: implications for appraisal and forecasting," Transportation, Springer, vol. 43(3), pages 507-530, May.
    14. Noelle Chesley, 2014. "Information and communication technology use, work intensification and employee strain and distress," Work, Employment & Society, British Sociological Association, vol. 28(4), pages 589-610, August.
    15. Rosenbloom, Sandra & Burns, Elizabeth, 1994. "Why Working Women Drive Alone: Implications for Travel Reduction Programs," University of California Transportation Center, Working Papers qt4x17v3f1, University of California Transportation Center.
    16. Patricia Mokhtarian & Francis Papon & Matthieu Goulard & Marco Diana, 2015. "What makes travel pleasant and/or tiring? An investigation based on the French National Travel Survey," Transportation, Springer, vol. 42(6), pages 1103-1128, November.
    17. John R. Hauser, 1978. "Testing the Accuracy, Usefulness, and Significance of Probabilistic Choice Models: An Information-Theoretic Approach," Operations Research, INFORMS, vol. 26(3), pages 406-421, June.
    18. Zheng, Zuduo & Washington, Simon & Hyland, Paul & Sloan, Keith & Liu, Yulin, 2016. "Preference heterogeneity in mode choice based on a nationwide survey with a focus on urban rail," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 178-194.
    19. Jia Tang & Feng Zhen & Jason Cao & Patricia L. Mokhtarian, 2018. "How do passengers use travel time? A case study of Shanghai–Nanjing high speed rail," Transportation, Springer, vol. 45(2), pages 451-477, March.
    20. Bluedorn, Allen C. & Martin, Gwen, 2008. "The time frames of entrepreneurs," Journal of Business Venturing, Elsevier, vol. 23(1), pages 1-20, January.
    21. Kenyon, Susan & Lyons, Glenn, 2007. "Introducing multitasking to the study of travel and ICT: Examining its extent and assessing its potential importance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 161-175, February.
    22. Zorn, Christopher, 2005. "A Solution to Separation in Binary Response Models," Political Analysis, Cambridge University Press, vol. 13(2), pages 157-170, April.
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