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Travel and activity time allocation: An empirical comparison between eight cities in Europe

Author

Listed:
  • Charles Raux

    (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)

  • Tai-Yu Ma

    (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)

  • Iragaël Joly

    (GAEL - Laboratoire d'Economie Appliquée = Grenoble Applied Economics Laboratory - UPMF - Université Pierre Mendès France - Grenoble 2 - INRA - Institut National de la Recherche Agronomique)

  • Vincent Kaufmann

    (LaSUR - Laboratoire de sociologie urbaine - EPFL - Ecole Polytechnique Fédérale de Lausanne)

  • Eric Cornelis

    (Groupe de recherche sur les transports - FUNDP - Facultés Universitaires Notre Dame de la Paix)

  • Nicolas Ovtracht

    (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)

Abstract

A study of daily time allocation to travel and out-of-home activity is conducted across eight European cities over three countries: France (Lyon, Grenoble, Strasbourg and Rennes), Switzerland (Geneva, Bern and Zurich) and Belgium (Brussels), based on individual travel survey data collected between 1997 and 2006. The effects of socio-demographic, spatial context, transport availability and city-specific variables are investigated thanks to the Cox proportional hazard model. The results indicate that socio-demographic characteristics and city (or country) specific effect play a major role while residential density and proximity to high level road or public transport networks have a very limited impact on time budgets for travel and out-of-home activities.

Suggested Citation

  • Charles Raux & Tai-Yu Ma & Iragaël Joly & Vincent Kaufmann & Eric Cornelis & Nicolas Ovtracht, 2011. "Travel and activity time allocation: An empirical comparison between eight cities in Europe," Post-Print halshs-00578085, HAL.
    • Handle: RePEc:hal:journl:halshs-00578085
    DOI: 10.1016/j.tranpol.2010.11.004
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00578085
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    References listed on IDEAS

    as
    1. David Levinson, 1999. "Space, money, life-stage, and the allocation of time," Transportation, Springer, vol. 26(2), pages 141-171, May.
    2. Tai-Yu Ma & Charles Raux & Eric Cornelis & Iragaël Joly, 2009. "multi-state non-homogeneous semi-markov model of daily activity type, timing and duration sequence," Post-Print halshs-00310900, HAL.
    3. 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.
    4. Iragaël Joly, 2006. "Stability or regularity of the daily travel time in Lyon? Application of a duration model," Post-Print halshs-00004011, HAL.
    5. 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.
    6. Bhat, Chandra R., 1996. "A generalized multiple durations proportional hazard model with an application to activity behavior during the evening work-to-home commute," Transportation Research Part B: Methodological, Elsevier, vol. 30(6), pages 465-480, December.
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    Citations

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    Cited by:

    1. 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.
    2. Jahun Koo & Jiyoon Kim & Sungtaek Choi & Sangho Choo, 2022. "Identifying the Causal Relationship between Travel and Activity Times: A Structural Equation Modeling Approach," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
    3. Mohíno, Inmaculada & Ureña, José M. & Solís, Eloy, 2016. "Transport infrastructure and territorial cohesion in rural metro-adjacent regions: A multimodal accessibility approach. The case of Castilla-La Mancha in the context of Madrid (Spain)," Journal of Transport Geography, Elsevier, vol. 57(C), pages 115-133.
    4. Longden, Thomas, 2016. "The Regularity and Irregularity of Travel: an Analysis of the Consistency of Travel Times Associated with Subsistence, Maintenance and Discretionary Activities," ETA: Economic Theory and Applications 243150, Fondazione Eni Enrico Mattei (FEEM).
    5. Xuemei Fu & Zhicai Juan, 2017. "An integrated framework to jointly model decisions of activity time allocation and work-related travel," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(6), pages 689-705, August.
    6. Charles Raux & Tai-Yu Ma & Eric Cornelis, 2011. "Variability versus stability in daily travel and activity behaviour. The case of a one week travel diary," Working Papers halshs-00612610, HAL.
    7. Mirkan Geyik & Patrick Bonnel, 2016. "Évolution de l’usage des modes de transport - Analyse des facteurs explicatifs : application à l’agglomération lyonnaise," Working Papers halshs-01685748, HAL.
    8. Longden, Thomas, 2016. "The Regularity and Irregularity of Travel: an Analysis of the Consistency of Travel Times Associated with Subsistence, Maintenance and Discretionary Activities," ET: Economic Theory 243150, Fondazione Eni Enrico Mattei (FEEM).
    9. Walks, Alan, 2018. "Driving the poor into debt? Automobile loans, transport disadvantage, and automobile dependence," Transport Policy, Elsevier, vol. 65(C), pages 137-149.

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    Keywords

    Travel; Activity; Time allocation; Cities; Europe; Duration model;
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