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Hypercongestion

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  • Kenneth A. Small
  • Xuehao Chu

Abstract

The standard economic model for analysing traffic congestion incorporates a relationship between speed and traffic flow. Empirical measurements indicate a region, known as hypercongestion, in which speed increases with flow. We argue that this relationship is unsuitable as a supply curve for equilibrium analysis because observed hypercongestion occurs as a response to transient demand fluctuations. We then present tractable models for handling such fluctuations, both for a straight uniform highway and for a dense street network such as in a central business district (CBD). For the CBD model, we consider both exogenous and endogenous time patterns for demand, and we make use of an empirical speed-density relationship for Dallas, Texas, to characterise hypercongested conditions. The CBD model is adaptable to any situation where accumulation of work to be processed becomes such a hindrance as to reduce outflow. © The London School of Economics and the University of Bath 2003

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Bibliographic Info

Article provided by London School of Economics and University of Bath in its journal Journal of Transport Economics and Policy.

Volume (Year): 37 (2003)
Issue (Month): 3 (September)
Pages: 319-352

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Handle: RePEc:tpe:jtecpo:v:37:y:2003:i:3:p:319-352

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Web page: http://www.bath.ac.uk/e-journals/jtep

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Cited by:
  1. Richard Arnott & Eren Inci, 2008. "The Stability Of Downtown Parking And Traffic Congestion," Working Papers 200813, University of California at Riverside, Department of Economics, revised Nov 2008.
  2. Ian W.H. Parry, 2009. "Pricing Urban Congestion," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 461-484, 09.
  3. C. Robin Lindsey & Erik T. Verhoef, 1999. "Congestion Modelling," Tinbergen Institute Discussion Papers 99-091/3, Tinbergen Institute.
  4. Richard Arnott, 1997. "Congestion Tolling and Urban Spatial Structure," Boston College Working Papers in Economics 389., Boston College Department of Economics.

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