Abstract
There are some attempts to integrate congestion charging theory and transportation network equilibrium analysis but existing analyses are still far from reality such as using independent demand function. In this paper we analyze the optimal link tolls in the multi-modal network where users' behavior follows Nested Logit models based on random utility maximization theory. It will be shown that even in this situation the conventional marginal cost pricing is still one of the optimal tolls if objective function is social surplus that is consistent with users' behavioral model. We apply this model to Tokyo Metropolitan Area and compute optimal tolls in that large-scaled network.
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