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

Author

Listed:
  • Caroline Bayart

    (SAF - Laboratoire de Sciences Actuarielle et Financière - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon)

  • Patrick Bonnel

    (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

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.

Suggested Citation

  • Caroline Bayart & Patrick Bonnel, 2010. "L'impact du mode d'enquête sur la mesure des comportements de mobilité," Post-Print halshs-01053167, HAL.
    • Handle: RePEc:hal:journl:halshs-01053167
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01053167
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    References listed on IDEAS

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    1. 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.
    2. Pascal Pochet, 2003. "Mobilité et accès à la voiture chez les personnes âgées : évolutions actuelles et enjeux," Post-Print halshs-00067935, HAL.
    3. Goldberger, Arthur S., 1981. "Linear regression after selection," Journal of Econometrics, Elsevier, vol. 15(3), pages 357-366, April.
    4. Patrick Bonnel & Michel Le Nir, 1998. "The quality of survey data: Telephone versus face-to-face interviews," Post-Print halshs-00140887, HAL.
    5. Maddala,G. S., 1986. "Limited-Dependent and Qualitative Variables in Econometrics," Cambridge Books, Cambridge University Press, number 9780521338257, October.
    6. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    7. 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.
    8. 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.
    9. Pauline Givord, 2003. "Une nouvelle Enquête Emploi," Économie et Statistique, Programme National Persée, vol. 362(1), pages 59-66.
    10. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    11. 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.
    12. Jean-Loup Madre & Kay Axhausen & Werner Brög, 2007. "Immobility in travel diary surveys," Transportation, Springer, vol. 34(1), pages 107-128, January.
    13. 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.
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