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A Comparison between Latent Class Model and Mixed Logit Model for Transport Mode Choice: Evidences from Two Datasets of Japan

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  • Junyi Shen

    (Osaka School of International Public Policy, Osaka University)

  • Yusuke Sakata

    (School of Economics, Kinki University)

  • Yoshizo Hashimoto

    (Osaka School of International Public Policy, Osaka University)

Abstract

This paper applies two recent stated choice survey datasets of Japan to investigate the difference between the latent class model (LCM) and the mixed logit model (MLM) for transport mode choice. A detailed comparison is carried out, focusing on comparing values of time savings, direct choice elasticities, predicted choice probabilities and prediction success indices. Furthermore, a test on non-nested model is also utilized to help determine which model is superior to another one. The results suggest that the LCM performs better than the MLM in both datasets.

Suggested Citation

  • Junyi Shen & Yusuke Sakata & Yoshizo Hashimoto, 2006. "A Comparison between Latent Class Model and Mixed Logit Model for Transport Mode Choice: Evidences from Two Datasets of Japan," Discussion Papers in Economics and Business 06-05, Osaka University, Graduate School of Economics.
    • Handle: RePEc:osk:wpaper:0605
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    References listed on IDEAS

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    2. Sergio Colombo & Nick Hanley & Jordan Louviere, 2009. "Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 307-322, May.
    3. Abedullah, A. & Kouser, S. & Ibrahim, M., 2018. "Consumer preferences and willingness to pay for Aflatoxin- Free Milk in Pakistan," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275957, International Association of Agricultural Economists.
    4. Alix Le Goff & Guillaume Monchambert & Charles Raux, 2020. "Values of Time for Carpool Commuting with HOV lanes: A Discrete Choice Experiment in France," Working Papers halshs-02988756, HAL.
    5. Zheng Zhu & Xiqun Chen & Chenfeng Xiong & Lei Zhang, 2018. "A mixed Bayesian network for two-dimensional decision modeling of departure time and mode choice," Transportation, Springer, vol. 45(5), pages 1499-1522, September.
    6. Pérez, María & García-Valiñas, María A. & Martínez-Espiñeira, Roberto, 2013. "Responses to changes in domestic water tariff structures: An analysis on household-level data from Granada, Spain," Efficiency Series Papers 2013/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    7. Simona Rasciute & Eric J Pentecost, 2008. "The Latent Heterogeneity in Investment Location Choices of Multinational Enterprises," Discussion Paper Series 2008_16, Department of Economics, Loughborough University, revised Dec 2008.

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    More about this item

    Keywords

    latent class model (LCM); mixed logit model (MLM); transport mode choice; predicted choice probability; prediction success index;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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