Extended Four-Step Travel Demand Forecasting Model for Urban Planning
For years, the traditional four-step travel demand forecasting model has helped the policy makers for making decisions regarding transportation programs and projects for metropolitan regions. This traditional model predicts the number of vehicles of each mode of transportation between the traffic analysis zones (TAZs) over a period of time. Although this model does not suggest a suitable region where transportation project can be deployed. Therefore, this paper extends one more step to traditional four-step model for suggesting the zones which are in higher need of a highway transportation program. The severity of traffic load is the basis for results of the added step.
KeywordsUrban planning Travel demand forecasting Mathematical model Project region estimation
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