IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/kucbt.html

The Penetration Of Engineering By Economics: Mcfadden (1974) And The Transformation Of Road Demand Estimation

Author

Listed:
  • Dupont-Kieffer, Ariane
  • Rivot, Sylvie
  • Madre, Jean-Loup
  • Assistant, JHET

Abstract

The golden age of road demand modeling began in the 1950s and flourished in the 1960s in the face of major road construction needs. These macro-models as well as the econometrics and the data to be processed, were mainly provided by engineers. A division of tasks can be observed between the engineers in charge of estimating the flows within the network, and the transport economists in charge of managing these flows once they are on the road network. Yet the inability to explain their decision-making processes and individual drives gave some room to economists to introduce economic analysis, so as to better understand individual or collective decisions between transport alternatives. Economists, in particular McFadden, began to offer methods to improve the measure of utility linked to transport, and to inform the engineering approach. This paper explores the challenges to the boundaries between economics and engineering in road demand analysis.

Suggested Citation

  • Dupont-Kieffer, Ariane & Rivot, Sylvie & Madre, Jean-Loup & Assistant, JHET, 2020. "The Penetration Of Engineering By Economics: Mcfadden (1974) And The Transformation Of Road Demand Estimation," OSF Preprints kucbt, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:kucbt
    DOI: 10.31219/osf.io/kucbt
    as

    Download full text from publisher

    File URL: https://osf.io/download/5f68d1399e9a3d00c36e30d8/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/kucbt?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
    ---><---

    References listed on IDEAS

    as
    1. Daniel L. McFadden, 2013. "The New Science of Pleasure," NBER Working Papers 18687, National Bureau of Economic Research, Inc.
    2. Walters, A. A., 1982. "Externalities in urban buses," Journal of Urban Economics, Elsevier, vol. 11(1), pages 60-72, January.
    3. McDONALD, JOHN F., 2013. "Pigou, Knight, Diminishing Returns, And Optimal Pigouvian Congestion Tolls," Journal of the History of Economic Thought, Cambridge University Press, vol. 35(3), pages 353-371, September.
    4. Charles F. Manski, 2001. "Daniel McFadden and the Econometric Analysis of Discrete Choice," Scandinavian Journal of Economics, Wiley Blackwell, vol. 103(2), pages 217-230, June.
    5. F. H. Knight, 1924. "Some Fallacies in the Interpretation of Social Cost," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 38(4), pages 582-606.
    6. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    7. Diamond, Peter A., 1971. "A model of price adjustment," Journal of Economic Theory, Elsevier, vol. 3(2), pages 156-168, June.
    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. Ariane Dupont Kieffer & Sylvie Rivot & Jean Loup Madre, 2021. "The penetration of engineering by economics : McFadden (1974) and the transformation of road demand estimation," Post-Print hal-03209945, HAL.
    2. repec:osf:osfxxx:kucbt_v1 is not listed on IDEAS
    3. Maria Eugenia Sanin, 2016. "Tradable emission permits: beyond pollution abatement motives," Documents de recherche 16-01, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    4. Chen, Qiu, 2021. "District or distributed space heating in rural residential sector? Empirical evidence from a discrete choice experiment in South China," Energy Policy, Elsevier, vol. 148(PA).
    5. Button, Kenneth, 2020. "The Transition From Pigou’S Ideas On Road Pricing To Their Application," Journal of the History of Economic Thought, Cambridge University Press, vol. 42(3), pages 417-438, September.
    6. repec:osf:osfxxx:wkrb5_v1 is not listed on IDEAS
    7. Atabek Atayev, 2021. "Nonlinear Prices, Homogeneous Goods, Search," Papers 2109.15198, arXiv.org.
    8. Terry E. Daniel & Eyran J. Gisches & Amnon Rapoport, 2009. "Departure Times in Y-Shaped Traffic Networks with Multiple Bottlenecks," American Economic Review, American Economic Association, vol. 99(5), pages 2149-2176, December.
    9. repec:ebl:ecbull:v:5:y:2008:i:7:p:1-7 is not listed on IDEAS
    10. Alessandro Ferrari & Lorenzo Pesaresi, 2025. "Specialization, Complexity & Resilience in Supply Chains," Papers 2509.08981, arXiv.org, revised Jan 2026.
    11. Dirk Bergemann & Alessandro Bonatti, 2024. "Data, Competition, and Digital Platforms," American Economic Review, American Economic Association, vol. 114(8), pages 2553-2595, August.
    12. Magdalena Osinska & Kinga Wasilewska, 2020. "Students’ Attitudes Towards Savings and Investment: The Case of Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 1068-1085.
    13. repec:shn:wpaper:2014-02 is not listed on IDEAS
    14. Farboodi, Maryam & Jarosch, Gregor & Menzio, Guido & Wiriadinata, Ursula, 2025. "Intermediation as rent extraction," Journal of Economic Theory, Elsevier, vol. 227(C).
    15. Ferdinando Monte & Stephen J. Redding & Esteban Rossi-Hansberg, 2018. "Commuting, Migration, and Local Employment Elasticities," American Economic Review, American Economic Association, vol. 108(12), pages 3855-3890, December.
    16. Alexandre de Corniere, 2013. "Search Advertising," Economics Series Working Papers 649, University of Oxford, Department of Economics.
    17. Haoying Wang & Guohui Wu, 2022. "Modeling discrete choices with large fine-scale spatial data: opportunities and challenges," Journal of Geographical Systems, Springer, vol. 24(3), pages 325-351, July.
    18. Wong, Maisy, 2010. "The Relationship between Marginal Willingness-to-Pay in the Hedonic and Discrete Choice Models," MPRA Paper 51218, University Library of Munich, Germany.
    19. Mehdiloozad, Mahmood & Zhu, Joe & Sahoo, Biresh K., 2018. "Identification of congestion in data envelopment analysis under the occurrence of multiple projections: A reliable method capable of dealing with negative data," European Journal of Operational Research, Elsevier, vol. 265(2), pages 644-654.
    20. 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.
    21. Soeiro, Renato & Adrego Pinto, Alberto, 2019. "Social power as a solution to the Bertrand Paradox," MPRA Paper 94271, University Library of Munich, Germany.
    22. Stuart Baumann & Margaryta Klymak, 2017. "It's Good to be Bad. A Model of Low Quality Dominance in a Full Information Consumer Search Market," Edinburgh School of Economics Discussion Paper Series 280, Edinburgh School of Economics, University of Edinburgh.
    23. Park, Byeong U. & Simar, Léopold & Zelenyuk, Valentin, 2017. "Nonparametric estimation of dynamic discrete choice models for time series data," Computational Statistics & Data Analysis, Elsevier, vol. 108(C), pages 97-120.
    24. Pak Hung Au & Mark Whitmeyer, 2018. "Attraction versus Persuasion: Information Provision in Search Markets," Papers 1802.09396, arXiv.org, revised May 2022.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:osf:osfxxx:kucbt. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.