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Modelling a social dilemma of mode choice based on commuters' expectations and social learning


  • Sunitiyoso, Yos
  • Matsumoto, Shoji


This study attempts to apply an agent-based approach to modelling a social dilemma of travel mode choice considering psychological and sociological aspects. A traveller is modelled to have expectations, which shows the traveller's beliefs about the influence of other group members on his action, as decision-making rules. Social interaction using a group-based interaction is hypothesized to be important. We apply an imitation game based on social learning mechanisms to the model. Two kinds of mechanism are used: payoff-biased and conformist transmission. The model reveals the conditions that make cooperation as a possible outcome are optimistic bandwagon expectations, group-based interactions, and strong conformist transmissions.

Suggested Citation

  • Sunitiyoso, Yos & Matsumoto, Shoji, 2009. "Modelling a social dilemma of mode choice based on commuters' expectations and social learning," European Journal of Operational Research, Elsevier, vol. 193(3), pages 904-914, March.
  • Handle: RePEc:eee:ejores:v:193:y:2009:i:3:p:904-914

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    References listed on IDEAS

    1. Bernardo A. Huberman & Natalie S. Glance, 1994. "Beliefs and Cooperation," Game Theory and Information 9405001, EconWPA, revised 10 May 1994.
    2. Kitamura, R. & Nakayama, S. & Yamamoto, T., 1999. "Self-reinforcing motorization: can travel demand management take us out of the social trap?," Transport Policy, Elsevier, vol. 6(3), pages 135-145, July.
    3. Henrich, Joseph, 2004. "Cultural group selection, coevolutionary processes and large-scale cooperation," Journal of Economic Behavior & Organization, Elsevier, vol. 53(1), pages 3-35, January.
    4. Gärling, Tommy & Eek, Daniel & Loukopoulos, Peter & Fujii, Satoshi & Johansson-Stenman, Olof & Kitamura, Ryuichi & Pendyala, Ram & Vilhelmson, Bertil, 2002. "A conceptual analysis of the impact of travel demand management on private car use," Transport Policy, Elsevier, vol. 9(1), pages 59-70, January.
    5. Selten, R. & Chmura, T. & Pitz, T. & Kube, S. & Schreckenberg, M., 2007. "Commuters route choice behaviour," Games and Economic Behavior, Elsevier, vol. 58(2), pages 394-406, February.
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    Cited by:

    1. Tian, Li-Jun & Huang, Hai-Jun, 2015. "Modeling the modal split and trip scheduling with commuters’ uncertainty expectation," European Journal of Operational Research, Elsevier, vol. 244(3), pages 815-822.
    2. Ronald, Nicole & Arentze, Theo & Timmermans, Harry, 2012. "Modeling social interactions between individuals for joint activity scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 46(2), pages 276-290.
    3. Kočišová, J. & Horváth, D. & Brutovský, B., 2009. "The efficiency of individual optimization in the conditions of competitive growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(17), pages 3585-3592.
    4. Wei, Fangfang & Jia, Ning & Ma, Shoufeng, 2016. "Day-to-day traffic dynamics considering social interaction: From individual route choice behavior to a network flow model," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 335-354.
    5. Busby, J.S. & Onggo, B.S.S. & Liu, Y., 2016. "Agent-based computational modelling of social risk responses," European Journal of Operational Research, Elsevier, vol. 251(3), pages 1029-1042.


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