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Immobility in a weekly mobility routine: studying the links between mobile and immobile days for employees and retirees

Author

Listed:
  • Benjamin Motte-Baumvol

    (UMR CNRS ThéMA, Université de Bourgogne Franche-Comté)

  • Julie Fen-Chong

    (UMR CNRS ThéMA, Université de Bourgogne Franche-Comté)

  • Olivier Bonin

    (UMR LVMT, Université Gustave Eiffel)

Abstract

Immobility – i.e. no travel outside the home in a 24-hour day – is an important issue because it concerns a large part of the population and tends to recur frequently, as our results show. Two questions related to immobility have been particularly highlighted in the literature: firstly, whether immobility is an artefact of travel surveys; secondly, whether it corresponds to an extreme form of low mobility. In light of the literature review and levels of immobility observed, these two questions seem to be minor, particularly in relation to the activity of individuals, which remains the main factor in immobility. By using Structural Equation Modeling to process UK National Travel Survey data, this work has explored the individual variability of trips as a constituent element of immobility for employees and retirees. The link between immobility and variability manifests itself in two ways in our results. Firstly, immobility is associated with activities that are less constrained in time and space, as is the case with the lower frequency of travel for work and support. Secondly, there are rebound effects on mobile days, with more frequent trips for grocery/medical motives in particular, when there is an episode of immobility during the week.

Suggested Citation

  • Benjamin Motte-Baumvol & Julie Fen-Chong & Olivier Bonin, 2023. "Immobility in a weekly mobility routine: studying the links between mobile and immobile days for employees and retirees," Transportation, Springer, vol. 50(5), pages 1723-1742, October.
    • Handle: RePEc:kap:transp:v:50:y:2023:i:5:d:10.1007_s11116-022-10292-x
    DOI: 10.1007/s11116-022-10292-x
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    References listed on IDEAS

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    1. Benjamin Motte-Baumvol & Olivier Bonin, 2018. "The spatial dimensions of immobility in France," Transportation, Springer, vol. 45(5), pages 1231-1247, September.
    2. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    3. Kay Axhausen & Andrea Zimmermann & Stefan Schönfelder & Guido Rindsfüser & Thomas Haupt, 2002. "Observing the rhythms of daily life: A six-week travel diary," Transportation, Springer, vol. 29(2), pages 95-124, May.
    4. Vincent Kaufmann & Manfred Max Bergman & Dominique Joye, 2004. "Motility: mobility as capital," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 28(4), pages 745-756, December.
    5. K. W. Axhausen & M. Löchl & R. Schlich & T. Buhl & P. Widmer, 2007. "Fatigue in long-duration travel diaries," Transportation, Springer, vol. 34(2), pages 143-160, March.
    6. Charles Raux & Tai-Yu Ma & Eric Cornelis, 2016. "Variability in daily activity-travel patterns: the case of a one-week travel diary," Post-Print halshs-01389479, HAL.
    7. Delbosc, Alexa & Currie, Graham, 2011. "The spatial context of transport disadvantage, social exclusion and well-being," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1130-1137.
    8. John Pucher & John Renne, 2005. "Rural mobility and mode choice: Evidence from the 2001 National Household Travel Survey," Transportation, Springer, vol. 32(2), pages 165-186, March.
    9. Lovejoy, Kristin & Handy, Susan, 2011. "Social networks as a source of private-vehicle transportation: The practice of getting rides and borrowing vehicles among Mexican immigrants in California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 248-257, May.
    10. Lucas, Karen, 2012. "Transport and social exclusion: Where are we now?," Transport Policy, Elsevier, vol. 20(C), pages 105-113.
    11. Dharmowijoyo, Dimas B.E. & Susilo, Yusak O. & Karlström, Anders, 2017. "Analysing the complexity of day-to-day individual activity-travel patterns using a multidimensional sequence alignment model: A case study in the Bandung Metropolitan Area, Indonesia," Journal of Transport Geography, Elsevier, vol. 64(C), pages 1-12.
    12. Bayart, Caroline & Bonnel, Patrick & Havet, Nathalie, 2018. "Daily (im)mobility behaviours in France: An application of hurdle models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 456-467.
    13. Jean‐Paul Hubert & Jimmy Armoogum & Kay W. Axhausen & Jean‐Loup Madre, 2008. "Immobility and Mobility Seen Through Trip‐Based Versus Time‐Use Surveys," Transport Reviews, Taylor & Francis Journals, vol. 28(5), pages 641-658, February.
    14. Jean-Loup Madre & Kay Axhausen & Werner Brög, 2007. "Immobility in travel diary surveys," Transportation, Springer, vol. 34(1), pages 107-128, January.
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