The Development of a Policy for Road Tax in Turkey, Using a Genetic Algorithm Approach for Demand Estimation

This study estimates transport demand on rural roads in Turkey using a genetic algorithm (GA) approach, and then evaluates a road tax collection system to create a railway fund. An alternative road tax policy is proposed. The total transport demand is estimated based on population, gross domestic product per capita, and vehicle-number. Three forms of the genetic algorithm transport demand estimation for tax revenues (GATDETR) are developed. One of these forms is linear, and the second and third are exponential forms of the mathematical expressions. The best-fit GATDETR model in terms of total minimum relative average errors between observed and estimated values is selected for future demand estimation. The evaluation of the road tax system and policy proposal is made based on estimated demand. The distance-based-taxation (DBT) system is proposed in order to control highway transport. With the DBT system, some road users may wish to use railroad instead. Thus, the authors re-organize the railways in order to meet the demand, but this requires new funding. The DBT system may help to create to this fund. It may also help to develop fair taxation for the road users. Findings indicate that the GA can be used to model transportation demand and hence income tax in future transportation planning. The findings also suggest that planning the taxation in highway transportation may help in funding the railroad system.


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  • Accession Number: 01013359
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Dec 12 2005 10:54PM