Fosgerau, Mogens and de Palma, André (2012): Congestion in a city with a central bottleneck. Published in: Journal of Urban Economics , Vol. 71, (2012): pp. 269-277.
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Abstract
We consider dynamic congestion in an urban setting where trip origins are spatially distributed. All travelers must pass through a downtown bottleneck in order to reach their destination in the CBD. Each traveler chooses departure time to maximize general concave scheduling utility. We find that, at equilibrium, travelers sort according to their distance to the destination; the queue is always unimodal regardless of the spatial distribution of trip origins. We construct a welfare maximizing tolling regime, which eliminates congestion. All travelers located beyond a critical distance from the CBD gain from tolling, even when toll revenues are not redistributed, while nearby travelers lose. We discuss our results in the context of acceptability of tolling policies.
Item Type: | MPRA Paper |
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Original Title: | Congestion in a city with a central bottleneck |
Language: | English |
Keywords: | Dynamic model; Toll policy; Spatial differentiation; Acceptability |
Subjects: | D - Microeconomics > D1 - Household Behavior and Family Economics > D11 - Consumer Economics: Theory R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R4 - Transportation Economics > R41 - Transportation: Demand, Supply, and Congestion ; Travel Time ; Safety and Accidents ; Transportation Noise R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R14 - Land Use Patterns |
Item ID: | 42270 |
Depositing User: | Prof. Mogens Fosgerau |
Date Deposited: | 30 Oct 2012 18:57 |
Last Modified: | 28 Sep 2019 20:39 |
References: | Arnott, R. A. (1998) Congestion Tolling and Urban Spatial Structure Journal of regional science 38(3), 495–504. Arnott, R. A., de Palma, A. and Lindsey, R. (1993) A structural model of peakperiod congestion: A traffic bottleneck with elastic demand American Economic Review 83(1), 161–179. Arnott, R. A., de Palma, A. and Lindsey, R. (1994) The Welfare Effects of Congestion Tolls with Heterogeneous Commuters Journal of Transport Economics and Policy 28(2), 139–161. Arnott, R. A., de Palma, A. and Lindsey, R. (1999) Information and time-of-usage decisions in the bottleneck model with stochastic capacity and demand European Economic Review 43(3), 525–548. Arnott, R., de Palma, A. and Lindsey, R. (1991) A temporal and spatial equilibrium analysis of commuter parking Journal of Public Economics 45(3), 301–335. Arnott, R. and DePalma, E. (2011) The corridor problem: Preliminary results on the no-toll equilibrium Transportation Research Part B: Methodological 45(5), 743–768. Daganzo, C. F. (2007) Urban gridlock: Macroscopic modeling and mitigation approaches Transportation Research Part B: Methodological 41(1), 49–62. de Palma, A. and Fosgerau, M. (2011) Random queues and risk averse users Mimeo . DTU Transport. Fosgerau, M. and de Palma, A. (2011) Parking fees as a substitute for roadpricing in a dynamic model of traffic congestion Working Paper . Fosgerau, M. and Engelson, L. (2011) The value of travel time variance Transportation Research Part B: Methodological 45(1), 1–8. Fosgerau, M. and Small, K. A. (2011) Endogenous scheduling preferences and congestion Working Paper . Geroliminis, N. and Daganzo, C. F. (2008) Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings Transportation Research Part B: Methodological 42(9), 759–770. Geroliminis, N. and Levinson, D. M. (2009) Cordon pricing consistent with the physics of overcrowding Proceedings of the 18th International Symposium on Transportation and Traffic theory . Hendrickson, C. and Kocur, G. (1981) Schedule Delay and Departure Time Decisions in a Deterministic Model Transportation Science 15(1), 62–77. il Mun, S. (1999) Peak-Load Pricing of a Bottleneck with Traffic Jam Journal of Urban Economics 46(3), 323–349. Kuwahara, M. (1990) Equilibrium Queueing Patterns at a Two-Tandem Bottleneck during the Morning Peak Transportation Science 24(3), 217–229. Lindsey, R. (2004) Existence, Uniqueness, and Trip Cost Function Properties of User Equilibrium in the Bottleneck Model with Multiple User Classes Transportation Science 38(3), 293–314. Mirrlees, J. A. (1972b) The optimum town Swedish Journal of Economics 74(1), 114–135. Newell, G. F. (1987) The Morning Commute for Nonidentical Travelers Transportation Science 21(2), 74–88. Smith, M. J. (1984) The Existence of a Time-Dependent Equilibrium Distribution of Arrivals at a Single Bottleneck Transportation Science 18(4), 385–394. Tseng, Y. Y. and Verhoef, E. T. (2008) Value of time by time of day: A stated-preference study Transportation Research Part B: Methodological 42(7- 8), 607–618. van den Berg, V. and Verhoef, E. T. (2011) Winning or losing from dynamic bottleneck congestion pricing?: The distributional effects of road pricing with heterogeneity in values of time and schedule delay Journal of Public Economics 95(7-8), 983–992. Vickrey, W. S. (1969) Congestion theory and transport investment American Economic Review 59(2), 251–261. Vickrey,W. S. (1973) Pricing, metering, and efficiently using urban transportation facilities Highway Research Record 476, 36–48. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/42270 |