Destination Choice Modeling For Tehran

Analyzing the different policies in transportation planning requires estimation of the effects of policies. One of the most important parts in the process of estimating travel demand, is trip distribution. The conventional approach for distribution of trips in the four-step process is using of traditional distribution models like Frater or Gravity Methods. Traditional trip distribution models have limitations. Therefore discrete choice models have been considered in many researches. In this study destination choice models have been calibrated for trips with different purposes for city of Tehran. Finally we conclude that using calibrated models in Tehran’s travel demand prediction models, without doing the necessary comparison with the current model has not priority.