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A smart market for passenger road transport (SMPRT) congestion: An application of computational mechanism design

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  • Markose, Sheri
  • Alentorn, Amadeo
  • Koesrindartoto, Deddy
  • Allen, Peter
  • Blythe, Phil
  • Grosso, Sergio

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Suggested Citation

  • Markose, Sheri & Alentorn, Amadeo & Koesrindartoto, Deddy & Allen, Peter & Blythe, Phil & Grosso, Sergio, 2007. "A smart market for passenger road transport (SMPRT) congestion: An application of computational mechanism design," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2001-2032, June.
    • Handle: RePEc:eee:dyncon:v:31:y:2007:i:6:p:2001-2032
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    References listed on IDEAS

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    1. Brownstone, David & Ghosh, Arindam & Golob, Thomas F. & Kazimi, Camilla & Van Amelsfort, Dirk, 2003. "Drivers' willingness-to-pay to reduce travel time: evidence from the San Diego I-15 congestion pricing project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(4), pages 373-387, May.
    2. Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-881, September.
    3. Sheri M. Markose, 2005. "Computability and Evolutionary Complexity: Markets as Complex Adaptive Systems (CAS)," Economic Journal, Royal Economic Society, vol. 115(504), pages 159-192, June.
    4. Alvin E. Roth, 2002. "The Economist as Engineer: Game Theory, Experimentation, and Computation as Tools for Design Economics," Econometrica, Econometric Society, vol. 70(4), pages 1341-1378, July.
    5. Kenneth A. Small & Clifford Winston & Jia Yan, 2005. "Uncovering the Distribution of Motorists' Preferences for Travel Time and Reliability," Econometrica, Econometric Society, vol. 73(4), pages 1367-1382, July.
    6. Friedman,Daniel & Sunder,Shyam, 1994. "Experimental Methods," Cambridge Books, Cambridge University Press, number 9780521456821, April.
    7. Andreoni James & Miller John H., 1995. "Auctions with Artificial Adaptive Agents," Games and Economic Behavior, Elsevier, vol. 10(1), pages 39-64, July.
    8. Chris Nash & Tom Sansom, 2001. "Pricing European Transport Systems: Recent Developments and Evidence from Case Studies," Journal of Transport Economics and Policy, University of Bath, vol. 35(3), pages 363-380, September.
    9. Richard Schmalensee & Paul L. Joskow & A. Denny Ellerman & Juan Pablo Montero & Elizabeth M. Bailey, 1998. "An Interim Evaluation of Sulfur Dioxide Emissions Trading," Journal of Economic Perspectives, American Economic Association, vol. 12(3), pages 53-68, Summer.
    10. Koesrindartoto, Deddy P. & Tesfatsion, Leigh, 2004. "Testing the Reliability of FERC's Wholesale Power Market Platform: An Agent-Based Computational Economics Approach," Staff General Research Papers Archive 12326, Iowa State University, Department of Economics.
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    Cited by:

    1. Nagel Kai & Grether Dominik & Beuck Ulrike & Chen Yu & Rieser Marcel & Axhausen Kay W., 2008. "Multi-Agent Transport Simulations and Economic Evaluation," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 173-194, April.
    2. Theodore Tsekeris & Klimis Vogiatzoglou & Stelios Bekiros, 2011. "Multi-Regional Agent-Based Modeling of Household and Firm Location Choices with Endogenous Transport Costs," ERSA conference papers ersa10p479, European Regional Science Association.
    3. Theodore Tsekeris & Klimis Vogiatzoglou, 2011. "Spatial agent-based modeling of household and firm location with endogenous transport costs," Netnomics, Springer, vol. 12(2), pages 77-98, July.
    4. B. Kickhöfer & K. Nagel, 2016. "Towards High-Resolution First-Best Air Pollution Tolls," Networks and Spatial Economics, Springer, vol. 16(1), pages 175-198, March.

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