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Mode choice with latent preference heterogeneity: a case study for employees of the EU institutions in Luxembourg

Author

Listed:
  • Tai-Yu Ma

    (LISER - Luxembourg Institute of Socio-Economic Research)

  • Philippe Gerber

    (LISER - Luxembourg Institute of Socio-Economic Research)

  • Samuel Carpentier

    (ESPACE - Études des Structures, des Processus d’Adaptation et des Changements de l’Espace - UNS - Université Nice Sophia Antipolis (1965 - 2019) - AU - Avignon Université - AMU - Aix Marseille Université - CNRS - Centre National de la Recherche Scientifique)

  • Sylvain Klein

    (LISER - Luxembourg Institute of Socio-Economic Research)

Abstract

In this study, we apply a latent class choice modelling approach to the employees of the European Investment Bank and the Court of Justice of the European Union in Luxembourg to investigate commuting mode choice behaviour by incorporating individual preference heterogeneity. We found a two-segment preference differentiation of mode choice behaviour determined by their household locations, attitudes towards transport modes as well as their socio-demographic characteristics. Validity and overall goodness-of-fit are compared with a conditional multinomial Logit model. The empirical study confirmed that travel time and the availability of free parking are the two major determinants for Luxembourg residents with respect to their commuting trips by car. The sensitivity analysis indicates that reducing travel time in public transport could be an efficient way to shift car users towards public transport. The results provide useful insights to evaluate the effect of determinants on individual commuting mode choice behaviour for different preference groups.

Suggested Citation

  • Tai-Yu Ma & Philippe Gerber & Samuel Carpentier & Sylvain Klein, 2015. "Mode choice with latent preference heterogeneity: a case study for employees of the EU institutions in Luxembourg," Post-Print halshs-01132437, HAL.
    • Handle: RePEc:hal:journl:halshs-01132437
    DOI: 10.1080/23249935.2015.1007175
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    Citations

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    Cited by:

    1. Xuemei Fu & Zhicai Juan, 2017. "Accommodating preference heterogeneity in commuting mode choice: an empirical investigation in Shaoxing, China," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(4), pages 434-448, May.
    2. Jun Guo & Hongzhi Guan & Yan Han & Yunqiang Xue, 2023. "Analysis of the Potential Economic Impact of Parking Space Comprehensive Utilization on Traditional Business District," Sustainability, MDPI, vol. 16(1), pages 1-26, December.
    3. Ahmadreza Faghih-Imani & Naveen Eluru, 2020. "A finite mixture modeling approach to examine New York City bicycle sharing system (CitiBike) users’ destination preferences," Transportation, Springer, vol. 47(2), pages 529-553, April.
    4. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
    5. Gerber, Philippe & Ma, Tai-Yu & Klein, Olivier & Schiebel, Julien & Carpentier-Postel, Samuel, 2017. "Cross-border residential mobility, quality of life and modal shift: A Luxembourg case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 238-254.
    6. Fowri, Hamid R. & Seyedabrishami, Seyedehsan, 2020. "Assessment of urban transportation pricing policies with incorporation of unobserved heterogeneity," Transport Policy, Elsevier, vol. 99(C), pages 12-19.

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