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Immobility in travel diary surveys

Author

Listed:
  • Jean-Loup Madre

    ()

  • Kay Axhausen

    ()

  • Werner Brög

    ()

Abstract

The share of immobile persons, i.e. persons not leaving their homes on a given reporting day, is both a central result and a prime quality indicator of a travel diary survey. The wide range of values for the share of immobiles reported in travel diary and time budget survey literature has motivated this in-depth analysis of the reasons for these disparities. This paper collates available evidence on the share of immobiles in travel diary surveys. The share of these non-travellers (UK), or no-trippers (US), varies greatly between otherwise similar surveys. After analysing both disaggregate and aggregate information, this paper concludes that the share of immobiles should be in the range of 8%–12% for the standard one-day, weekday-only travel diary. The analysis suggests that a substantial share of respondents refuse to participate in a soft way, i.e. by claiming not to have left the house. In its conclusions, the paper sketches new ways to reduce the share of such soft refusers during the interview and to identify them during the analysis. Copyright Springer Science+Business Media, LLC 2007

Suggested Citation

  • Jean-Loup Madre & Kay Axhausen & Werner Brög, 2007. "Immobility in travel diary surveys," Transportation, Springer, vol. 34(1), pages 107-128, January.
  • Handle: RePEc:kap:transp:v:34:y:2007:i:1:p:107-128
    DOI: 10.1007/s11116-006-9105-5
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    File URL: http://hdl.handle.net/10.1007/s11116-006-9105-5
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    References listed on IDEAS

    as
    1. 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.
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    Citations

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    Cited by:

    1. Caroline Bayart & Patrick Bonnel, 2010. "L'impact du mode d'enquête sur la mesure des comportements de mobilité," Économie et Statistique, Programme National Persée, vol. 437(1), pages 47-70.
    2. Salon, Deborah, 2015. "Heterogeneity in the relationship between the built environment and driving: Focus on neighborhood type and travel purpose," Research in Transportation Economics, Elsevier, vol. 52(C), pages 34-45.
    3. Liu, Chengxi & Susilo, Yusak O. & Karlström, Anders, 2015. "The influence of weather characteristics variability on individual’s travel mode choice in different seasons and regions in Sweden," Transport Policy, Elsevier, vol. 41(C), pages 147-158.
    4. Caroline Bayart & Patrick Bonnel, 2012. "Combining web and face-to-face in travel surveys: comparability challenges?," Transportation, Springer, vol. 39(6), pages 1147-1171, November.
    5. Michal Isaacson & Noam Shoval & Hans-Werner Wahl & Frank Oswald & Gail Auslander, 2016. "Compliance and data quality in GPS-based studies," Transportation, Springer, vol. 43(1), pages 25-36, January.
    6. Marcela Munizaga & Sergio Jara-Díaz & Javiera Olguín & Jorge Rivera, 2011. "Generating twins to build weekly time use data from multiple single day OD surveys," Transportation, Springer, vol. 38(3), pages 511-524, May.
    7. Patrick Bonnel & Caroline Bayart & Brett Smith, 2015. "Workshop Synthesis: Comparing and Combining Survey Modes," Post-Print halshs-01663724, HAL.
    8. repec:eee:transa:v:106:y:2017:i:c:p:51-64 is not listed on IDEAS
    9. Caroline Bayart & Patrick Bonnel, 2010. "Enquête déplacements web - face-à-face : quelle comparabilité ?," Post-Print halshs-00566236, HAL.
    10. Michal Isaacson & Noam Shoval & Hans-Werner Wahl & Frank Oswald & Gail Auslander, 2016. "Compliance and data quality in GPS-based studies," Transportation, Springer, vol. 43(1), pages 25-36, January.
    11. Jean-Paul Hubert & Jean-Loup Madre & Joël Meissonnier & Sophie Roux, 2012. "La pause méridienne : un facteur clé de l’évolution de la mobilité en France depuis 35 ans," Économie et Statistique, Programme National Persée, vol. 457(1), pages 35-55.
    12. Liu, Chengxi & Susilo, Yusak O. & Karlström, Anders, 2015. "Investigating the impacts of weather variability on individual’s daily activity–travel patterns: A comparison between commuters and non-commuters in Sweden," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 47-64.
    13. Gerike, Regine & Gehlert, Tina & Leisch, Friedrich, 2015. "Time use in travel surveys and time use surveys – Two sides of the same coin?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 4-24.
    14. Weis, Claude & Axhausen, Kay W., 2009. "Induced travel demand: Evidence from a pseudo panel data based structural equations model," Research in Transportation Economics, Elsevier, vol. 25(1), pages 8-18.
    15. repec:kap:transp:v:45:y:2018:i:2:d:10.1007_s11116-017-9851-6 is not listed on IDEAS
    16. Chengxi Liu & Yusak O. Susilo & Anders Karlström, 2016. "Measuring the impacts of weather variability on home-based trip chaining behaviour: a focus on spatial heterogeneity," Transportation, Springer, vol. 43(5), pages 843-867, September.
    17. Nadine Rieser-Schüssler & Kay W. Axhausen, 2014. "Self-tracing and reporting: state of the art in the capture of revealed behaviour," Chapters,in: Handbook of Choice Modelling, chapter 6, pages 131-151 Edward Elgar Publishing.

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