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Intensive travel time: an obligation or a choice?

Author

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  • Iragaël Joly

    (GAEL - Laboratoire d'Economie Appliquée de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INRA - Institut National de la Recherche Agronomique - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

  • Stéphanie Vincent-Geslin

    (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique, LaSUr - Laboratoire de sociologie urbaine - EPFL - Ecole Polytechnique Fédérale de Lausanne)

Abstract

This paper explores what prompts some individuals to spend a significant amount of time travelling. In the literature, travel time tends to be regarded as useless, unproductive time and, in some cases, as the worst time of the day. The actual behaviour of intensive travellers challenges this view of travel time. A mixed approach that combines quantitative and qualitative methodologies was adopted. A survival analysis of daily travel time in eight European cities gives a quantitative definition of intensive travellers. Qualitative interviews with intensive travellers explore the various dimensions of choice and/or obligation that are responsible for these extreme daily travel times. The results show that roughly 20 % of the individuals in the sample for each city have long travel times (more than 100 min a day). The quantitative analysis also suggests that the behaviour of these individuals is atypical and cannot be explained solely by the characteristics that are considered in standard travel surveys. A qualitative sociological approach supplements the quantitative approach and illustrates that the allocation of travel time is not only determined by the activity pursued at the destination or the mode of transport but also by other factors such as personal beliefs and the perception of travel time. The positive perception of travel time as time to be used constructively or enjoyed influences the decision to travel intensively and, above all, contributes to its long-term acceptability. A number of political issues depend on travel behaviour and therefore, to some extent, on time management. New patterns of behaviour with regard to time management help explain the expansion in the range of individual travel.

Suggested Citation

  • Iragaël Joly & Stéphanie Vincent-Geslin, 2016. "Intensive travel time: an obligation or a choice?," Post-Print halshs-01309467, HAL.
  • Handle: RePEc:hal:journl:halshs-01309467
    DOI: 10.1007/s12544-016-0195-7
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01309467
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    References listed on IDEAS

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    1. Golob, Thomas F. & McNally, Michael G., 1997. "A Model of Activity Participation Between Household Heads," University of California Transportation Center, Working Papers qt4dj8f1gg, University of California Transportation Center.
    2. Maoh, Hanna & Tang, Zhongyuan, 2012. "Determinants of normal and extreme commute distance in a sprawled midsize Canadian city: evidence from Windsor, Canada," Journal of Transport Geography, Elsevier, vol. 25(C), pages 50-57.
    3. Lothlorien Redmond & Patricia Mokhtarian, 2001. "The positive utility of the commute: modeling ideal commute time and relative desired commute amount," Transportation, Springer, vol. 28(2), pages 179-205, May.
    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. Mokhtarian, Patricia L. & Salomon, Ilan, 1997. "Modeling the Desire to Telecommute: The Importance of Attitudinal Factors in Behavioral Models," University of California Transportation Center, Working Papers qt29z267km, University of California Transportation Center.
    6. repec:pri:cepsud:125krueger is not listed on IDEAS
    7. Iragaël Joly & Karl Littlejohn & Vincent Kaufmann, 2006. "La croissance des budgets-temps de transport en question : nouvelles approches," Post-Print halshs-00174992, HAL.
    8. Daniel Kahneman & Alan B. Krueger & David Schkade & Norbert Schwarz & Arthur A. Stone, 2006. "Would You Be Happier If You Were Richer? A Focusing Illusion," Working Papers 77, Princeton University, Department of Economics, Center for Economic Policy Studies..
    9. Lu, Xuedong & Pas, Eric I., 1999. "Socio-demographics, activity participation and travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(1), pages 1-18, January.
    10. Jain, Juliet & Lyons, Glenn, 2008. "The gift of travel time," Journal of Transport Geography, Elsevier, vol. 16(2), pages 81-89.
    11. Schwanen, Tim & Dijst, Martin, 2002. "Travel-time ratios for visits to the workplace: the relationship between commuting time and work duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(7), pages 573-592, August.
    12. Mokhtarian, Patricia L. & Salomon, Ilan, 1997. "Modeling the desire to telecommute: The importance of attitudinal factors in behavioral models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(1), pages 35-50, January.
    13. Chandra Bhat & Rajul Misra, 1999. "Discretionary activity time allocation of individuals between in-home and out-of-home and between weekdays and weekends," Transportation, Springer, vol. 26(2), pages 193-229, May.
    14. Mokhtarian, Patricia L. & Chen, Cynthia, 2004. "TTB or not TTB, that is the question: a review and analysis of the empirical literature on travel time (and money) budgets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(9-10), pages 643-675.
    15. Mohammad M. Hamed & Fred L. Mannering, 1993. "Modeling Travelers' Postwork Activity Involvement: Toward a New Methodology," Transportation Science, INFORMS, vol. 27(4), pages 381-394, November.
    16. Golob, Thomas F. & McNally, Michael G., 1997. "A model of activity participation and travel interactions between household heads," Transportation Research Part B: Methodological, Elsevier, vol. 31(3), pages 177-194, June.
    17. Daniel Kahneman & Alan B. Krueger & David Schkade & Norbert Schwarz & Arthur A. Stone, 2006. "Would You Be Happier If You Were Richer? A Focusing Illusion," Working Papers 77, Princeton University, Department of Economics, Center for Economic Policy Studies..
    18. Iragaël Joly, 2006. "Stability or regularity of the daily travel time in Lyon? Application of a duration model," Post-Print halshs-00004011, HAL.
    19. Glenn Lyons & Juliet Jain & Yusak Susilo & Stephen Atkins, 2013. "Comparing Rail Passengers' Travel Time Use in Great Britain Between 2004 and 2010," Mobilities, Taylor & Francis Journals, vol. 8(4), pages 560-579, November.
    20. Timmermans, Harry & van der Waerden, Peter & Alves, Mario & Polak, John & Ellis, Scott & Harvey, Andrew S. & Kurose, Shigeyuki & Zandee, Rianne, 2002. "Time allocation in urban and transport settings: an international, inter-urban perspective," Transport Policy, Elsevier, vol. 9(2), pages 79-93, April.
    21. Martin Dijst & Velibor Vidakovic, 2000. "Travel time ratio: the key factor of spatial reach," Transportation, Springer, vol. 27(2), pages 179-199, May.
    22. Cynthia Chen & Patricia Mokhtarian, 2006. "Tradeoffs between Time Allocations to Maintenance Activities/Travel and Discretionary Activities/Travel," Transportation, Springer, vol. 33(3), pages 223-240, May.
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    Cited by:

    1. Hélène Bouscasse & Iragaël Joly & Jean Peyhardi, 2016. "Estimating travel mode choice, including rail in regional area, based on a new family of regression models," Working Papers hal-01847227, HAL.
    2. Philippe Gerber & Marius Thériault & Christophe Enaux & Samuel Carpentier-Postel, 2020. "Links between Attitudes, Mode Choice, and Travel Satisfaction: A Cross-Border Long-Commute Case Study," Sustainability, MDPI, vol. 12(21), pages 1-20, November.
    3. Vincent-Geslin, Stephanie & Ravalet, Emmanuel, 2016. "Determinants of extreme commuting. Evidence from Brussels, Geneva and Lyon," Journal of Transport Geography, Elsevier, vol. 54(C), pages 240-247.
    4. Delclòs-Alió, Xavier & Miralles-Guasch, Carme, 2017. "Suburban travelers pressed for time: Exploring the temporal implications of metropolitan commuting in Barcelona," Journal of Transport Geography, Elsevier, vol. 65(C), pages 165-174.

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