IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-02474779.html
   My bibliography  Save this paper

Personal car, public transport and other alternatives? Predicting potential modal shifts from multinomial logit models and bootstrap confidence intervals

Author

Listed:
  • Amandine Chevalier

    (IFPEN - IFP Energies nouvelles, BIPE, CERNA i3 - Centre d'économie industrielle i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

  • Frédéric Lantz

    (IFPEN - IFP Energies nouvelles)

Abstract

Households' daily mobility in France is characterized by the preponderance of the automobile. Passenger cars, mainly used by households but not only, are thus responsible for more than a half of fuel consumptions in road transport (CGDD/SOeS, July 2013) and more than a half of CO2 emissions in the transport sector (SOeS/CDC, December 2012). The main objective of this paper is thus to explain the modal choice of French households for their daily trips, particularly the importance of the car, and to predict potential shifts from personal car to public transport and other alternatives, especially shared car. An independent multinomial logit model is estimated and reveals the particular importance of car equipment on modal choices and specifically on car use. Predictions by 2020 are conducted according to three cases for the household's motorization (no car, one car, two cars or more) and per different mobility profiles. Personal car should remain the main mode of transportation by 2020 except if households have no car. In that case, modal shares would be more balanced, public transport would become the main transport mode and the shift to shared car would be at a maximum. Modal share of shared car could thus reach 16% for "exclusive motorists". A conditional logit model is also estimated and shows no particular importance of the means of transportation's costs in the modal choices. These results show that the increase in distances between 2010 and 2020 makes motorized modes more necessary. Thus, personal car and public transport should remain the main modes of transportation by 2020. Moreover, expected changes in costs and travel time by 2020 does not seem to have any effect on the deployment of shared car, its modal share being constant (in an average) between 2010 and 2020.

Suggested Citation

  • Amandine Chevalier & Frédéric Lantz, 2013. "Personal car, public transport and other alternatives? Predicting potential modal shifts from multinomial logit models and bootstrap confidence intervals," Working Papers hal-02474779, HAL.
  • Handle: RePEc:hal:wpaper:hal-02474779
    Note: View the original document on HAL open archive server: https://ifp.hal.science/hal-02474779
    as

    Download full text from publisher

    File URL: https://ifp.hal.science/hal-02474779/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hausman, Jerry & McFadden, Daniel, 1984. "Specification Tests for the Multinomial Logit Model," Econometrica, Econometric Society, vol. 52(5), pages 1219-1240, September.
    2. Hensher, David A., 2008. "Empirical approaches to combining revealed and stated preference data: Some recent developments with reference to urban mode choice," Research in Transportation Economics, Elsevier, vol. 23(1), pages 23-29, January.
    3. Khattak, Asad & Le Colletter, Emmanuel, 1994. "Stated And Reported Diversion To Public Transportation In Response To Congestion: Implications On The Benefits Of Multimodal ATIS," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3kq4h17d, Institute of Transportation Studies, UC Berkeley.
    4. Krygsman, Stephan & Arentze, Theo & Timmermans, Harry, 2007. "Capturing tour mode and activity choice interdependencies: A co-evolutionary logit modelling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 913-933, December.
    5. Kitamura, Ryuichi, 1984. "Incorporating trip chaining into analysis of destination choice," Transportation Research Part B: Methodological, Elsevier, vol. 18(1), pages 67-81, February.
    6. Bhat, Chandra R. & Koppelman, Frank S., 1993. "A conceptual framework of individual activity program generation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(6), pages 433-446, November.
    7. Khattak, Asad J. & De Palma, André, 1997. "The impact of adverse weather conditions on the propensity to change travel decisions: A survey of Brussels commuters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(3), pages 181-203, May.
    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. Albert Banal-Estañol & Jeremy Eckhause & Olivier Massol, 2015. "Incentives for early adoption of carbon capture technology: further considerations from a European perspective," Working Papers hal-02475485, HAL.
    2. Vincent Brémond & Emmanuel Hache & Tovonony Razafindrabe, 2015. "On the link between oil price and exchange rate : A time-varying VAR parameter approach," Working Papers hal-03206684, HAL.

    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. Bowman, J. L. & Ben-Akiva, M. E., 2001. "Activity-based disaggregate travel demand model system with activity schedules," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(1), pages 1-28, January.
    2. De Witte, Astrid & Hollevoet, Joachim & Dobruszkes, Frédéric & Hubert, Michel & Macharis, Cathy, 2013. "Linking modal choice to motility: A comprehensive review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 329-341.
    3. Chen, Quizi, 2001. "An Exploration of Activity Scheduling and Rescheduling Processes," University of California Transportation Center, Working Papers qt9kb4q6vt, University of California Transportation Center.
    4. Pereira, Pedro & Ribeiro, Tiago, 2011. "The impact on broadband access to the Internet of the dual ownership of telephone and cable networks," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 283-293, March.
    5. Gauri, Dinesh Kumar & Trivedi, Minakshi & Grewal, Dhruv, 2008. "Understanding the Determinants of Retail Strategy: An Empirical Analysis," Journal of Retailing, Elsevier, vol. 84(3), pages 256-267.
    6. Erik Stam & Roy Thurik & Peter van der Zwan, 2010. "Entrepreneurial exit in real and imagined markets," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(4), pages 1109-1139, August.
    7. Karing’u kelvin Njuguna & Hezron Nyarindo Isaboke & Samuel Njiri Ndirangu, 2022. "Determinants of smallholders’ choice of avocado marketing outlets and profitability in Murang’a County, Kenya," SN Business & Economics, Springer, vol. 2(8), pages 1-25, August.
    8. Sakaue, Katsuki, 2018. "Informal fee charge and school choice under a free primary education policy: Panel data evidence from rural Uganda," International Journal of Educational Development, Elsevier, vol. 62(C), pages 112-127.
    9. Illichmann, R. & Abdulai, A., 2014. "Analysis of Consumer Preferences and Wilingness-To-Pay for Organic Food Products in Germany," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 49, March.
    10. Tao, Hung-Lin, 2014. "Height, weight, and entry earnings of female graduates in Taiwan," Economics & Human Biology, Elsevier, vol. 13(C), pages 85-98.
    11. Toşa, Cristian & Sato, Hitomi & Morikawa, Takayuki & Miwa, Tomio, 2018. "Commuting behavior in emerging urban areas: Findings of a revealed-preferences and stated-intentions survey in Cluj-Napoca, Romania," Journal of Transport Geography, Elsevier, vol. 68(C), pages 78-93.
    12. Michelsen, Carl Christian & Madlener, Reinhard, 2016. "Switching from fossil fuel to renewables in residential heating systems: An empirical study of homeowners' decisions in Germany," Energy Policy, Elsevier, vol. 89(C), pages 95-105.
    13. Garling, Tommy & Kwan, Mei-Po & Golledge, Reginald G., 1991. "Computational-Process Modelling of Travel Decisions: Review and Conceptual Analysis," University of California Transportation Center, Working Papers qt6mk0h2s2, University of California Transportation Center.
    14. Joachim Marti, 2012. "Assessing preferences for improved smoking cessation medications: a discrete choice experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(5), pages 533-548, October.
    15. Mira Frick & Ryota Iijima & Tomasz Strzalecki, 2019. "Dynamic Random Utility," Econometrica, Econometric Society, vol. 87(6), pages 1941-2002, November.
    16. Kallas, Z. & Gómez-Limón, J.A., 2007. "Valoración De La Multifuncionalidad Agraria: Una Aplicación A Través Del Método De Los Experimentos De Elección/Agricultural Multifunctionality Valuation: A Case Study Using The Choice Experiment," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 25, pages 107-144, Abril.
    17. Zhou Hui-fen & Li Zhen-shan & Xue Dong-qian & Lei Yang, 2012. "Time Use Patterns Between Maintenance, Subsistence and Leisure Activities: A Case Study in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(1), pages 121-136, January.
    18. Lindelow, Magnus, 2002. "Health care demand in rural Mozambique," FCND discussion papers 126, International Food Policy Research Institute (IFPRI).
    19. Palmero, Alfredo Jiménez & Herrera, Juan José Durán & Sabaté, Juan Manuel de la Fuente, 2013. "The role of psychic distance stimuli on the East-West FDI location structure in the EU. Evidence from Spanish MNEs," Journal of East European Management Studies, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 18(1), pages 36-65.
    20. Sheng Gong & Jason.S. Bergtold & Elizabeth Yeager, 2021. "Assessing the joint adoption and complementarity between in-field conservation practices of Kansas farmers," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-24, December.

    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:hal:wpaper:hal-02474779. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.