In the previous study called "A Modelling Approach for the Transportation Disadvantaged", which was an experimental one calibrated in a small town in Turkey, it was observed that an integrated TPM for the disadvantaged category was probable, and the findings were observable at all stages of the sequential modelling, however, with slight differences compared to the Normal model's results. Following the previous one, this study shows the method of how "policy capturing" could be possible on the basis of these differences, which aims to help improve the adverse conditions of the disadvantaged. The method is sort of category analysis based on the cluster analysis results, since it is clearly verified that the "disadvantage indices" identified as the single-disadvantage groups match with the values of cluster centres. Using TRANUS software, three simulations are run for three dimensions of disadvantage: socio-economic (categorical), spatial and the positional. The simulation results, evaluated from different criteria, showed that socio-economic dimension was the most fruitful area for policy capturing.
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