Abstract
In order to evaluate long term impacts on travel demand due to changes in transportation supply (e.g. construction of new roads or new underground railways), it is not possible to disregard the effects that such changes have on housing and employment locations (i.e. land use and transportation interactions). In this paper a system of analytical models dealing with the comples interactions between transportation and urban activities systems is presented. The overall framework consists of integrated submodels simulating in turn travel demand, residential location and activity location choices, based on a behavioral approach consistent with Random Utility theory. Interactions between components of the urban system are simulated through an equilibrium approach. Models' specification and calibration results, based on disaggregate and aggregate data, as well as an application to the city of Rome, Italy, are presented.
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