Dept. of Civil Engineering Sharif University of Technolgy
Abstract
Pricing policy is a method for controlling air pollution in urban central areas. The policy can be implemented on a daily basis, in such a way that the pollution level is kept close to its standard level. The ultimate goal of such a research can be the evaluation of a pricing policy for Tehran central zone areas by means of a set of mode choice models. Stated preference base mode choice models have been developed using the neural network concept; as an alternative to the existing choice model approach. Then, the models were compared with another set of models developed by the logit structure, based on the \percent of correct prediction" criterion. A rather marginal superiority of models based on the neural network approach can be reported.
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