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Hypercongestion

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Author Info
Kenneth A. Small
Xuehao Chu

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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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Publisher 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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  1. Parry, Ian W.H., 2008. "Pricing Urban Congestion," Discussion Papers dp-08-35, Resources For the Future. [Downloadable!]
  2. Richard Arnott, 1997. "Congestion Tolling and Urban Spatial Structure," Boston College Working Papers in Economics 389., Boston College Department of Economics. [Downloadable!]
  3. C. Robin Lindsey & Erik T. Verhoef, 1999. "Congestion Modelling," Tinbergen Institute Discussion Papers 99-091/3, Tinbergen Institute. [Downloadable!]
  4. Arnott, Richard & Inci, Eren, 2008. "The Stability of Downtown Parking and Traffic Congestion," MPRA Paper 11786, University Library of Munich, Germany. [Downloadable!]
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