Road Traffic Congestion and Public Information: An Experimental Investigation
AbstractThis paper reports laboratory experiments designed to study the impact of public information about past departure rates on congestion levels and travel costs. Our design is based on a discrete version of Arnott et al.'s (1990) bottleneck model. In all treatments, congestion occurs and the observed travel costs are quite similar to the predicted ones. Subjects' capacity to coordinate is not affected by the availability of public information on past departure rates, by the number of drivers or by the relative cost of delay. This seemingly absence of treatment effects is confirmed by our finding that a parameter-free reinforcement learning model best characterises individual behaviour. © 2008 LSE and the University of Bath
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Bibliographic InfoArticle provided by London School of Economics and University of Bath in its journal Journal of Transport Economics and Policy.
Volume (Year): 42 (2008)
Issue (Month): 1 (January)
Contact details of provider:
Web page: http://www.bath.ac.uk/e-journals/jtep
Other versions of this item:
- Anthony Ziegelmeyer & Frédéric Koessler & Kene Boun My & Laurent Denant-Boèmont, 2007. "Road Traffic Congestion and Public Information: An Experimental Investigation," THEMA Working Papers 2007-05, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Kene Boun My & Laurent Denant-Boèmont & Frédéric Koessler & Marc Willinger & Anthony Ziegelmeyer, 2006. "Road Traffic Congestion and Public Information: An Experimental Investigation," Papers on Strategic Interaction 2006-20, Max Planck Institute of Economics, Strategic Interaction Group.
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
- C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Systems - - - General
- R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Systems - - - Transportation: Demand, Supply, and Congestion
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- Nick Feltovich, 2000. "Reinforcement-Based vs. Belief-Based Learning Models in Experimental Asymmetric-Information," Econometrica, Econometric Society, vol. 68(3), pages 605-642, May.
- Vickrey, William S, 1969. "Congestion Theory and Transport Investment," American Economic Review, American Economic Association, vol. 59(2), pages 251-60, May.
- 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.
- Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1990.
"Economics of a bottleneck,"
Journal of Urban Economics,
Elsevier, vol. 27(1), pages 111-130, January.
- Roth, Alvin E. & Erev, Ido, 1995. "Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term," Games and Economic Behavior, Elsevier, vol. 8(1), pages 164-212.
- Mahmassani, Hani S. & Jou, Rong-Chang, 2000. "Transferring insights into commuter behavior dynamics from laboratory experiments to field surveys," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(4), pages 243-260, May.
- Denant-Boèmont, L. & Petiot, R., 2003. "Information value and sequential decision-making in a transport setting: an experimental study," Transportation Research Part B: Methodological, Elsevier, vol. 37(4), pages 365-386, May.
- 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 848-81, September.
- Small, Kenneth A, 1982. "The Scheduling of Consumer Activities: Work Trips," American Economic Review, American Economic Association, vol. 72(3), pages 467-79, June.
- David Levinson, 2003. "The Value of Advanced Traveler Information Systems for Route Choice," Working Papers 200307, University of Minnesota: Nexus Research Group.
- Moshe Ben-Akiva & Andre de Palma & Pavlos Kanaroglou, 1984. "Dynamic Model of Peak Period Traffic Congestion with Elastic Arrival Rates," Working Papers 588, Queen's University, Department of Economics.
- Drew Fudenberg & David K. Levine, 1998.
"Learning in Games,"
Levine's Working Paper Archive
2222, David K. Levine.
- Otsubo, Hironori & Rapoport, Amnon, 2008. "Vickrey's model of traffic congestion discretized," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 873-889, December.
- Laurent Denant-Boèmont & Sabrina Hammiche, 2009.
"Public Transit Capacity and Users' Choice: AnExperiment on Downs-Thomson Paradox,"
- Laurent Denant-Boemont & Sabrina Hammiche, 2009. "Public Transit Capacity and Users Choice: AnExperiment on Downs-Thomson Paradox," Working Papers halshs-00405501, HAL.
- de Jong, Gerard, 2012. "Application of experimental economics in transport and logistics," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 50, pages 3.
- Ramadurai, Gitakrishnan & Ukkusuri, Satish V. & Zhao, Jinye & Pang, Jong-Shi, 2010. "Linear complementarity formulation for single bottleneck model with heterogeneous commuters," Transportation Research Part B: Methodological, Elsevier, vol. 44(2), pages 193-214, February.
- Chorus, C.G. & Dellaert, B.G.C., 2010.
"Travel Choice Inertia: The Joint Role of Risk Aversion and Learning,"
ERS-2010-040-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni.
- Caspar G. Chorus & Benedict G. C. Dellaert, 2012. "Travel Choice Inertia: The Joint Role of Risk Aversion and Learning," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 46(1), pages 139-155, January.
- Rapoport, Amnon & Stein, William E. & Mak, Vincent & Zwick, Rami & Seale, Darryl A., 2010. "Endogenous arrivals in batch queues with constant or variable capacity," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1166-1185, December.
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