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    Destination Choice Modeling For Shopping Trips; Case Study For The City of Shiraz

    , M.Sc. Thesis Sharif University of Technology Rahimi, Ehsan (Author) ; Samimi, Amir (Supervisor)
    Abstract
    The fratar model that is one of the most common models of travel distribution has some weak points. Due to its strong tendency to existing distribution and disregarding the zonal characteristics, this model is unable to consider sudden changes in plan on the horizon. In order to identify the variables affecting the distribution of travel, using the behavioral approach is vital. For this purpose, Multinomial Logit model is used for distribution of shopping trips in the city of Shiraz. The city of Shiraz is divided into 156 zones. If all zones be considered as the choice set for each traveler, the results of model won't be efficient. To address this problem, sampling should be done based on... 

    A comparative study of a hybrid logit-Fratar and neural network models for trip distribution: Case of the city of Isfahan

    , Article Journal of Advanced Transportation ; Volume 45, Issue 1 , 2011 , Pages 80-93 ; 01976729 (ISSN) Shir Mohammadli, M ; Shetab-Bushehri, S. N ; Poorzahedy, H ; Hejazi, S. R ; Sharif University of Technology
    Abstract
    This paper introduces a new procedure to forecast the future O/D demand. It is a hybrid of logit and Fratar model. The hybrid model has the long run, policy sensitive, characteristic of a logit model, calibrated at sector-level with little/no zero O/D cells. This feature, joint with a Fratar-type operation at zonal level within a sector, gives a better performance to this model than either of the two types of the models alone. The performance of the hybrid model is contrasted with a neural network model, and shows encouraging results in a real case