IDEAS home Printed from https://ideas.repec.org/a/prs/ecstat/estat_0336-1454_2010_num_437_1_9586.html
   My bibliography  Save this article

L'impact du mode d'enquête sur la mesure des comportements de mobilité

Author

Listed:
  • Caroline Bayart
  • Patrick Bonnel

Abstract

Les enquêtes de mobilité sont indispensables, tant à la compréhension, à l'analyse et à la modélisation des comportements de déplacement, que pour contribuer à définir et à évaluer les politiques de transport mises en œuvre. Pourtant, les taux de réponse aux Enquêtes Ménages Déplacements (EMD) décroissent au fil du temps. Ces dernières années, les méthodes utilisées pour recueillir les données de mobilité ont évolué, afin d'une part de nourrir des modèles de plus en plus complexes et d'autre part d'intégrer les apports des nouvelles technologies dans les protocoles d'enquête (web, GPS, etc.). En particulier, la combinaison de différents médias s'impose comme un moyen d'améliorer la qualité des données produites à moindre coût, en permettant une augmentation du taux de réponse global. Si le fait de proposer des médias différents permet d'augmenter le taux de réponse global, la comparabilité des données reste un exercice difficile. Les caractéristiques socioéconomiques des répondants varient selon le mode d'enquête, et ces différences peuvent être à l'origine de comportements spécifiques. Nous montrons dans cet article qu'il est possible de distinguer l'effet dû au mode d'enquête de celui lié aux différences socioéconomiques observées entre les échantillons de répondants, et de quantifier l'impact du mode d'enquête sur la mesure de la mobilité déclarée. Le modèle économétrique envisagé pour cette analyse est emprunté au domaine des variables qualitatives. Plus précisément, il s'agit d'un modèle de sélection de l'échantillon, dont nous estimons les paramètres à l'aide de la procédure en deux étapes, élaborée par Heckman à la fin des années 1970. Les résultats de l'EMD menée à Lyon en 2006 en face à face et par internet illustrent nos propos. L'objectif est de quantifier, pour chaque répondant, l'impact du mode d'enquête sur la mesure du comportement de mobilité.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • 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.
    • Handle: RePEc:prs:ecstat:estat_0336-1454_2010_num_437_1_9586
    DOI: 10.3406/estat.2010.9586
    Note: DOI:10.3406/estat.2010.9586
    as

    Download full text from publisher

    File URL: https://doi.org/10.3406/estat.2010.9586
    Download Restriction: no
    File URL: https://www.persee.fr/doc/estat_0336-1454_2010_num_437_1_9586
    Download Restriction: no
    File URL: https://libkey.io/10.3406/estat.2010.9586?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Pascal Pochet, 2003. "Mobilité et accès à la voiture chez les personnes âgées : évolutions actuelles et enjeux," Post-Print halshs-00067935, HAL.
    2. Goldberger, Arthur S., 1981. "Linear regression after selection," Journal of Econometrics, Elsevier, vol. 15(3), pages 357-366, April.
    3. Evert‐Jan Visser & Martin Lanzendorf, 2004. "Mobility And Accessibility Effects Of B2c E‐Commerce: A Literature Review," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 95(2), pages 189-205, April.
    4. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    5. Donggen Wang & Fion Law, 2007. "Impacts of Information and Communication Technologies (ICT) on time use and travel behavior: a structural equations analysis," Transportation, Springer, vol. 34(4), pages 513-527, July.
    6. Jean-Loup Madre & Kay Axhausen & Werner Brög, 2007. "Immobility in travel diary surveys," Transportation, Springer, vol. 34(1), pages 107-128, January.
    7. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    8. Patricia Mokhtarian & Ilan Salomon & Susan Handy, 2006. "The Impacts of Ict on leisure Activities and Travel: A Conceptual Exploration," Transportation, Springer, vol. 33(3), pages 263-289, May.
    9. Hoffman, Saul D & Link, Charles R, 1984. "Selectivity Bias in Male Wage Equations: Black-White Comparisons," The Review of Economics and Statistics, MIT Press, vol. 66(2), pages 320-324, May.
    10. Patrick Bonnel & Michel Le Nir, 1998. "The quality of survey data: Telephone versus face-to-face interviews," Post-Print halshs-00140887, HAL.
    11. Maddala,G. S., 1986. "Limited-Dependent and Qualitative Variables in Econometrics," Cambridge Books, Cambridge University Press, number 9780521338257.
    12. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    13. Pauline Givord, 2003. "Une nouvelle Enquête Emploi," Économie et Statistique, Programme National Persée, vol. 362(1), pages 59-66.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Caroline Bayart & Patrick Bonnel, 2010. "Web and face-to-face travel surveys: how comparable are they? [Enquête déplacements web - face-à-face : quelle comparabilité ?]," Post-Print halshs-00566236, HAL.
    3. Caroline Bayart & Patrick Bonnel, 2015. "How to Combine Survey Media (Web, Telephone, Face-to-Face): Lyon and Rhône-alps Case Study," Post-Print halshs-01663683, HAL.
    4. 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.
    5. Han Dong & Cinzia Cirillo & Marco Diana, 2018. "Activity involvement and time spent on computers for leisure: an econometric analysis on the American Time Use Survey dataset," Transportation, Springer, vol. 45(2), pages 429-449, March.
    6. Calcagno, R. & Renneboog, L.D.R., 2004. "Capital Structure and Managerial Compensation : The Effects of Remuneration Seniority," Other publications TiSEM afd90cc1-f881-4875-bbcd-e, Tilburg University, School of Economics and Management.
    7. Bertoli, Simone & Dequiedt, Vianney & Zenou, Yves, 2016. "Can selective immigration policies reduce migrants' quality?," Journal of Development Economics, Elsevier, vol. 119(C), pages 100-109.
    8. Marina Rybalka, 2015. "The innovative input mix. Assessing the importance of R&D and ICT investments for firm performance in manufacturing and services," Discussion Papers 801, Statistics Norway, Research Department.
    9. Paul Ellickson & Sanjog Misra, 2012. "Enriching interactions: Incorporating outcome data into static discrete games," Quantitative Marketing and Economics (QME), Springer, vol. 10(1), pages 1-26, March.
    10. Matthias Parey & Jens Ruhose & Fabian Waldinger & Nicolai Netz, 2017. "The Selection of High-Skilled Emigrants," The Review of Economics and Statistics, MIT Press, vol. 99(5), pages 776-792, December.
    11. Renneboog, L.D.R. & Szilagyi, P.G., 2009. "Shareholder Activism through the Proxy Process," Discussion Paper 2009-65, Tilburg University, Center for Economic Research.
    12. Michael Coelli & Domenico Tabasso, 2019. "Where are the returns to lifelong learning?," Empirical Economics, Springer, vol. 57(1), pages 205-237, July.
    13. Brannlund, Runar & Nordstrom, Jonas, 2004. "Carbon tax simulations using a household demand model," European Economic Review, Elsevier, vol. 48(1), pages 211-233, February.
    14. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Incomplete panels and selection bias : A survey," Discussion Paper 1992-7, Tilburg University, Center for Economic Research.
    15. Peter Cziraki & Luc Renneboog & Peter G. Szilagyi, 2010. "Shareholder Activism through Proxy Proposals: The European Perspective," European Financial Management, European Financial Management Association, vol. 16(5), pages 738-777, November.
    16. Giovanni Marin & Francesca Lotti, 2017. "Productivity effects of eco-innovations using data on eco-patents," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(1), pages 125-148.
    17. Awudu Abdulai & Wallace Huffman, 2014. "The Adoption and Impact of Soil and Water Conservation Technology: An Endogenous Switching Regression Application," Land Economics, University of Wisconsin Press, vol. 90(1), pages 26-43.
    18. Jean-Pierre Florens & James Heckman & Costas Meghir & Edward Vytlacil, 2002. "Instrumental variables, local instrumental variables and control functions," CeMMAP working papers CWP15/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. James J. Heckman, 2008. "Econometric Causality," International Statistical Review, International Statistical Institute, vol. 76(1), pages 1-27, April.
    20. Torberg Falch, 2010. "The Elasticity of Labor Supply at the Establishment Level," Journal of Labor Economics, University of Chicago Press, vol. 28(2), pages 237-266, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:prs:ecstat:estat_0336-1454_2010_num_437_1_9586. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Equipe PERSEE (email available below). General contact details of provider: https://www.persee.fr/collection/estat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.