EQUILIBRIUM ANALYSIS OF TRIP CHAINS IN CONGESTED NETWORKS
BG Heydecker
Abstract
BG Heydecker
Abstract
In this paper, we develop a model of travel in a chain of trips joining several locations through a congested network. We develop a microscopic analysis of individual benefits obtained by spending time at each of the locations and costs incurred through travel between them. This is combined with a macroscopic equilibrium model of travel during congested peak periods to show how individuals ’ travel choices are influenced by the congestion that result from corresponding choices made by others. We show how different travellers can achieve identical net utilities by making different combinations of choices within the equilibrium. The resulting model can be used to investigate the effect on travel behaviour and individual utility of various transport interventions, and we illustrate this by considering the effect of a peak-period charge that eliminates congestion. 2
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In this paper, we develop a model of travel in a chain of trips joining several locations through a congested network. We develop a microscopic analysis of individual benefits obtained by spending time at each of the locations and costs incurred through travel between them. This is combined with a macroscopic equilibrium model of travel during congested peak periods to show how individuals ’ travel choices are influenced by the congestion that result from corresponding choices made by others. We show how different travellers can achieve identical net utilities by making different combinations of choices within the equilibrium. The resulting model can be used to investigate the effect on travel behaviour and individual utility of various transport interventions, and we illustrate this by considering the effect of a peak-period charge that eliminates congestion. 2
Key concepts: TRIPS architecture, Congestion pricing, Travel time, Travel behavior, Traffic congestion, Computer science, Transport engineering, Econometrics