IDEAS home Printed from https://ideas.repec.org/a/ris/actuec/v81y2005i3p485-520.html
   My bibliography  Save this article

Déplacements domicile-travail en Île-de-France et choix individuels du mode de transport

Author

Listed:
  • De Lapparent, Matthieu

    (EUREQua)

Abstract

We develop in this paper a dichotomous discrete choice model for the analysis of home to work trips in the French Parisian region. The two modes of transportation are private motorized vehicle and public transportation. We analyse indirect effects coming from the other choices associated with the demand for travel. We also take into account random tastes of travellers. A mixed Logit model is formulated. Identification of the parameters and estimation by maximization of the simulated likelihood function are discussed. The results of the application are realistic and intuitive: tastes for travel attributes are heterogeneous among the population, so are the effects of their socioeconomic variables, the correlation of the value of time with the level of road congestion is positive and the IIA axiom does not hold. Nous étudions dans cet article le choix du mode de transport pour un déplacement domicile-travail au sein de la région Île-de-France dans un ensemble à deux modalités : véhicule particulier ou transports en commun. Nous modélisons la présence d’effets indirects liés aux autres dimensions de la demande de transport et l’existence d’hétérogénéité des goûts dans la population observée. Nous spécifions, identifions et estimons par la méthode du maximum de vraisemblance simulée un modèle Logit à paramètres aléatoires. Les résultats sont nombreux et réalistes : dispersion des goûts concernant les attributs de transports et les variables socio-économiques, corrélation positive entre valeur du temps et niveau de la congestion, rejet de l’axiome IIA.

Suggested Citation

  • De Lapparent, Matthieu, 2005. "Déplacements domicile-travail en Île-de-France et choix individuels du mode de transport," L'Actualité Economique, Société Canadienne de Science Economique, vol. 81(3), pages 485-520, Septembre.
    • Handle: RePEc:ris:actuec:v:81:y:2005:i:3:p:485-520
    as

    Download full text from publisher

    File URL: http://id.erudit.org/iderudit/013039ar
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Small, Kenneth A. & Gomez-Ibanez, Jose A., 1999. "Urban transportation," Handbook of Regional and Urban Economics, in: P. C. Cheshire & E. S. Mills (ed.), Handbook of Regional and Urban Economics, edition 1, volume 3, chapter 46, pages 1937-1999, Elsevier.
    2. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    3. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    4. A. de Palma & A. J. Khattak & D. Gupta, 1997. "Commuters' departure time decisions in Brussels," THEMA Working Papers 97-08, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    5. Vickrey, William S, 1969. "Congestion Theory and Transport Investment," American Economic Review, American Economic Association, vol. 59(2), pages 251-260, May.
    6. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
    7. Pakes, Ariel & Pollard, David, 1989. "Simulation and the Asymptotics of Optimization Estimators," Econometrica, Econometric Society, vol. 57(5), pages 1027-1057, September.
    8. Small, Kenneth A, 1982. "The Scheduling of Consumer Activities: Work Trips," American Economic Review, American Economic Association, vol. 72(3), pages 467-479, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Conti, Benoit, 2018. "Modal shift and interurban mobility: Environmentally positive, socially regressive," Journal of Transport Geography, Elsevier, vol. 69(C), pages 234-241.

    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. Paul Koster & Hans Koster, 2013. "Analysing Heterogeneity in the Value of Travel Time and Reliability: A Semiparametric Estimation Approach," ERSA conference papers ersa13p1032, European Regional Science Association.
    2. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.
    3. Frick, Bernd & Barros, Carlos Pestana & Prinz, Joachim, 2010. "Analysing head coach dismissals in the German "Bundesliga" with a mixed logit approach," European Journal of Operational Research, Elsevier, vol. 200(1), pages 151-159, January.
    4. Mika Haapanen & Jari Ritsilä, 2001. "Can migration decisions be affected by income taxation policies?," ERSA conference papers ersa01p41, European Regional Science Association.
    5. A. de Palma & F. Marchal, 2001. "Real Cases Applications of the Fully Dynamic METROPOLIS Tool-Box: an Advocacy for Large-scale Mesoscopic Transportation Systems," THEMA Working Papers 2001-18, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    6. F Alpizar & F Carlsson & P Martinsson, 2003. "Using Choice Experiments for Non-Market Valuation," Economic Issues Journal Articles, Economic Issues, vol. 8(1), pages 83-110, March.
    7. Norton, Daniel & Hynes, Stephen, 2014. "Valuing the non-market benefits arising from the implementation of the EU Marine Strategy Framework Directive," Ecosystem Services, Elsevier, vol. 10(C), pages 84-96.
    8. Stephane Hess & John W. Polak, 2004. "An analysis of parking behaviour using discrete choice models calibrated on SP datasets," ERSA conference papers ersa04p60, European Regional Science Association.
    9. Siikamaki, Juha & Layton, David F., 2007. "Discrete choice survey experiments: A comparison using flexible methods," Journal of Environmental Economics and Management, Elsevier, vol. 53(1), pages 122-139, January.
    10. Campbell, Danny & Hutchinson, W. George & Scarpa, Riccardo, 2006. "Using Discrete Choice Experiments to Derive Individual-Specific WTP Estimates for Landscape Improvements under Agri-Environmental Schemes: Evidence from the Rural Environment Protection Scheme in Irel," Sustainability Indicators and Environmental Valuation Working Papers 12220, Fondazione Eni Enrico Mattei (FEEM).
    11. Norton, D. & Hynes, S., 2014. "A Choice Experiment Approach to assess the costs of degradation as specified by the EU Marine Strategy Framework Directive," Working Papers 186382, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    12. Mariel, Petr & Ayala, Amaya de & Hoyos, David & Abdullah, Sabah, 2013. "Selecting random parameters in discrete choice experiment for environmental valuation: A simulation experiment," Journal of choice modelling, Elsevier, vol. 7(C), pages 44-57.
    13. Andrew Daly & Stephane Hess & Geoff Hyman & John Polak & Charlene Rohr, 2005. "Modelling departure time and mode choice," ERSA conference papers ersa05p688, European Regional Science Association.
    14. Haghani, Milad & Sarvi, Majid & Shahhoseini, Zahra, 2015. "Accommodating taste heterogeneity and desired substitution pattern in exit choices of pedestrian crowd evacuees using a mixed nested logit model," Journal of choice modelling, Elsevier, vol. 16(C), pages 58-68.
    15. A. de Palma & C. Fontan & O. Mekkaoui, 2000. "Trip Timing for Public Transportation : An Empirical Application," THEMA Working Papers 2000-19, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    16. Haapanen, Mika, 2002. "Variation of migration behaviour in population," ERSA conference papers ersa02p283, European Regional Science Association.
    17. Swait, Joffre, 2023. "Distribution-free estimation of individual parameter logit (IPL) models using combined evolutionary and optimization algorithms," Journal of choice modelling, Elsevier, vol. 47(C).
    18. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    19. Haghani, Milad & Sarvi, Majid, 2018. "Hypothetical bias and decision-rule effect in modelling discrete directional choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 361-388.
    20. Marcucci, Edoardo & Gatta, Valerio, 2012. "Dissecting preference heterogeneity in consumer stated choices," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 331-339.

    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:ris:actuec:v:81:y:2005:i:3:p:485-520. 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: Benoit Dostie (email available below). General contact details of provider: https://edirc.repec.org/data/scseeea.html .

    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.