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Are solo driving commuters ready to switch to carpool? Heterogeneity of preferences in Lyon's urban area

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  • Le Goff, Alix
  • Monchambert, Guillaume
  • Raux, Charles

Abstract

We conduct a discrete choice experiment on 1556 solo-driving commuters in Lyon, France to estimate the values of end-to-end travel time (VoTT) of commuting trips in the presence of a HOV-lane for four modes: Solo Driver, Carpool Driver, Carpool Passenger and Public Transport. Using discrete choice models, we find a strong heterogeneity in VoTT across modes and individuals. The analysis of individual heterogeneity distinguishes four behavior patterns: reluctant to mode change (20% of our sample), preferring the three alternative modes over solo driver (35%), preferring public transport (12%) and preferring driver modes whether solo or carpool (32%). We find that current solo drivers are more likely to switch to carpooling as a driver rather than as a passenger. As suggested by our simulations aimed at marginally changing mode shares, carpool passenger will be the scarce resource if one wants to decrease car traffic by stimulating carpooling for commuting trips.

Suggested Citation

  • Le Goff, Alix & Monchambert, Guillaume & Raux, Charles, 2022. "Are solo driving commuters ready to switch to carpool? Heterogeneity of preferences in Lyon's urban area," Transport Policy, Elsevier, vol. 115(C), pages 27-39.
    • Handle: RePEc:eee:trapol:v:115:y:2022:i:c:p:27-39
    DOI: 10.1016/j.tranpol.2021.10.001
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    1. Feriél Adjeroud & Thierry Blayac, 2018. "Bus and carpooling travel time perceptions by users: what about the values of travel time for long-distance trips in France? [Perception du temps de transport par les usagers de l’autocar et du cov," Post-Print hal-02099824, HAL.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. De Borger, Bruno & Fosgerau, Mogens, 2008. "The trade-off between money and travel time: A test of the theory of reference-dependent preferences," Journal of Urban Economics, Elsevier, vol. 64(1), pages 101-115, July.
    4. 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.
    5. Bhat, Chandra R., 2003. "Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences," Transportation Research Part B: Methodological, Elsevier, vol. 37(9), pages 837-855, November.
    6. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    7. Hilton, Denis & Charalambides, Laetitia & Demarque, Christophe & Waroquier, Laurent & Raux, Charles, 2014. "A tax can nudge: The impact of an environmentally motivated bonus/malus fiscal system on transport preferences," Journal of Economic Psychology, Elsevier, vol. 42(C), pages 17-27.
    8. Shires, J.D. & de Jong, G.C., 2009. "An international meta-analysis of values of travel time savings," Evaluation and Program Planning, Elsevier, vol. 32(4), pages 315-325, November.
    9. Monchambert, Guillaume, 2020. "Why do (or don’t) people carpool for long distance trips? A discrete choice experiment in France," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 911-931.
    10. Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.
    11. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
    12. Raux, Charles & Chevalier, Amandine & Bougna, Emmanuel & Hilton, Denis, 2021. "Mobility choices and climate change: Assessing the effects of social norms, emissions information and economic incentives," Research in Transportation Economics, Elsevier, vol. 90(C).
    13. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923.
    14. Andrew Daly & Stephane Hess & Kenneth Train, 2012. "Assuring finite moments for willingness to pay in random coefficient models," Transportation, Springer, vol. 39(1), pages 19-31, January.
    15. Wardman, Mark & Chintakayala, V. Phani K. & de Jong, Gerard, 2016. "Values of travel time in Europe: Review and meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 93-111.
    16. Hess, Stephane & Rose, John M., 2009. "Allowing for intra-respondent variations in coefficients estimated on repeated choice data," Transportation Research Part B: Methodological, Elsevier, vol. 43(6), pages 708-719, July.
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    Cited by:

    1. Saxena, Aditya & Gupta, Vallary, 2023. "Carpooling: Who is closest to adopting it? An investigation into the potential car-poolers among private vehicle users: A case of a developing country, India," Transport Policy, Elsevier, vol. 135(C), pages 11-20.
    2. María del Carmen Rey-Merchán & Antonio López-Arquillos & Manuela Pires Rosa, 2022. "Carpooling Systems for Commuting among Teachers: An Expert Panel Analysis of Their Barriers and Incentives," IJERPH, MDPI, vol. 19(14), pages 1-12, July.
    3. Guillaume Monchambert, 2023. "Pricing of myopic multi-sided platforms: theory and application to carpooling," Working Papers halshs-03980205, HAL.

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    More about this item

    Keywords

    Carpool; Commuting trips; Discrete choice experiment; Values of time;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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