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The Coordination Problem in a Structural Model of Peak-Period Congestion: An Experimental Study

Author

Listed:
  • Gabuthy Yannick

    (BETA, CNRS, University Nancy 2, France)

  • Neveu Matthieu

    (GATE, CNRS, University Lyon 2, France)

  • Denant-Boemont Laurent

    (CREM, CNRS, University Rennes 1, France)

Abstract

The purpose of our paper is to generalize the model by Arnott et al. (1990a) to situations with a single origin and destination connected by two routes and to test the analytical results in an experiment with discrete time departure choices. The experimental evidence does not support the theoretical predictions: While the accumulated experience creates significant learning effects which imply a positive evolution of the empirical travel costs towards the equilibrium, the Nash hypothesis is still rejected and the commuting system shows substantial fluctuations until the end of the experiment.

Suggested Citation

  • Gabuthy Yannick & Neveu Matthieu & Denant-Boemont Laurent, 2006. "The Coordination Problem in a Structural Model of Peak-Period Congestion: An Experimental Study," Review of Network Economics, De Gruyter, vol. 5(2), pages 1-26, June.
    • Handle: RePEc:bpj:rneart:v:5:y:2006:i:2:n:5
    DOI: 10.2202/1446-9022.1098
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    Cited by:

    1. Beheshtian, Arash & Richard Geddes, R. & Rouhani, Omid M. & Kockelman, Kara M. & Ockenfels, Axel & Cramton, Peter & Do, Wooseok, 2020. "Bringing the efficiency of electricity market mechanisms to multimodal mobility across congested transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 58-69.
    2. Terry E. Daniel & Eyran J. Gisches & Amnon Rapoport, 2009. "Departure Times in Y-Shaped Traffic Networks with Multiple Bottlenecks," American Economic Review, American Economic Association, vol. 99(5), pages 2149-2176, December.
    3. Sun, Xiaoyan & Han, Xiao & Bao, Jian-Zhang & Jiang, Rui & Jia, Bin & Yan, Xiaoyong & Zhang, Boyu & Wang, Wen-Xu & Gao, Zi-You, 2017. "Decision dynamics of departure times: Experiments and modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 74-82.
    4. Xiao Han & Yun Yu & Bin Jia & Zi‐You Gao & Rui Jiang & H. Michael Zhang, 2021. "Coordination Behavior in Mode Choice: Laboratory Study of Equilibrium Transformation and Selection," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3635-3656, October.
    5. Chidambaram, Bhuvanachithra & Janssen, Marco A. & Rommel, Jens & Zikos, Dimitrios, 2014. "Commuters’ mode choice as a coordination problem: A framed field experiment on traffic policy in Hyderabad, India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 9-22.
    6. Emmanuel Dechenaux & Shakun Mago & Laura Razzolini, 2014. "Traffic congestion: an experimental study of the Downs-Thomson paradox," Experimental Economics, Springer;Economic Science Association, vol. 17(3), pages 461-487, September.
    7. Rapoport, Amnon & Qi, Hang & Mak, Vincent & Gisches, Eyran J., 2019. "When a few undermine the whole: A class of social dilemmas in ridesharing," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 125-137.
    8. Hartman, John Lawrence, 2007. "The Relevance of Heterogeneity in a Congested Route Network with Tolls: An Analysis of Two Experiments Using Actual Waiting Times and Monetized Time Costs," University of California at Santa Barbara, Economics Working Paper Series qt22b46341, Department of Economics, UC Santa Barbara.

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