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The development of a policy for road tax in Turkey, using a genetic algorithm approach for demand estimation

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dc.contributor.author Haldenbilen, S.
dc.contributor.author Ceylan, H.
dc.date.accessioned 2019-08-16T11:36:48Z
dc.date.available 2019-08-16T11:36:48Z
dc.date.issued 2005
dc.identifier.issn 09658564 (ISSN)
dc.identifier.uri http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/4740
dc.description.abstract This study deals, first, with estimation of transport demand based on Genetic Algorithm (GA) approach, and then deals with the evaluation of the road tax system in Turkey. It proposes an alternative road tax policy. The total transport demand is estimated based on population, Gross Domestic Product per Capita (GDPPC), and vehicle-number. Three forms of the Genetic Algorithm Transport Demand Estimation for Tax Revenues (GATDETR) are developed, of which one 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 are 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 railway. Thus, we re-organize the railways in order to meet the demand, but this requires new fund. The DBT system may help to create to this fund. It may also help to develop fair-taxation for the road users. Results show that the GA can be used to model transport demand and hence income tax in future transports planning. This study also suggests that planning the taxation in highway transport may help to ease funding problem of railway system. © 2005 Elsevier Ltd. All rights reserved.
dc.language.iso English
dc.relation.isversionof 10.1016/j.tra.2005.02.011
dc.subject Genetic algorithm
dc.subject Railway
dc.subject Road tax
dc.subject Transport demand
dc.subject Transport policy
dc.subject Turkey
dc.subject Estimation
dc.subject Genetic algorithms
dc.subject Mathematical models
dc.subject Public policy
dc.subject Railroads
dc.subject Regression analysis
dc.subject Rural roads
dc.subject Tranport policy
dc.subject Motor transportation
dc.subject genetic algorithm
dc.subject planning method
dc.subject road pricing
dc.subject tax system
dc.subject transportation planning
dc.subject Eastern Hemisphere
dc.subject Eurasia
dc.subject World
dc.title The development of a policy for road tax in Turkey, using a genetic algorithm approach for demand estimation
dc.type Article
dc.relation.journal Transportation Research Part A: Policy and Practice
dc.identifier.volume 39
dc.identifier.issue 10
dc.identifier.startpage 861
dc.identifier.endpage 877
dc.identifier.index Scopus

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