The improvement of energy politics by the optimization of transportation modes and presentation of the output obtained from the application

In the beginning of this study, energy intensity values are determined by the energy analysis of the freight and passenger transportation according to their modes between 1988-2005. Afterwards, according to these results the energy consumptions of the years 1970-1987 and 2006-2020 are estimated and bringing up the situation of the energy consumption?s alteration and development between 1970-2020 in Turkey. After those different scenarios of six each are improved belonging to past, and energy efficiency of the years 1970-2005 is analyzed. Initially energy consumption is estimated for the period of 1970-1987, after that it is united with the period of 1988-2005 and this result is compared with the one that is obtained from the scenarios of six each according to past years? modal distribution. The cumulative energy efficiency of the 1st freight transportation scenario is at an important value of % 36,78, the others are respectively % 23,64, % 11,80, % 5,06, % 2,27 and % 0,13. The results of the passenger transportation energy efficiency are respectively % 33,61, % 15,85, % 4,79, % 5,23, % 2,49 and % -0,07. After these analysis different scenarios of five each are improved belonging to future and energy efficiency probabilities of the years 2006-2020 is researched. On freight transportation the most efficient scenario is 4th one with the energy efficiency level of % 6,23 and respectively follow it, the 1st scenario with % 4,78, 5th scenario with % 3,60, 2nd scenario with % 1,44 and 3rd scenario with % -2,63. On passenger transportation the most efficient scenario is 4th one with the energy efficiency level of % 3,76 and respectively follow it, the 1st scenario with % 3,26, 2nd scenario with % 0,50, 5th scenario with % 0,43 and 3rd scenario with % -3,33. In the last part of the study, a model of energy cost forecast is improved by using Artificial Neural Network (ANN) method. Future scenarios are taken as a basis and analyzed with ANN forecast model. According to this model five scenarios? energy consumption cost efficiency levels are respectively % 9,06, % 10,96, % -1,38, % 20,02, and % 18,64. Key Words : Transportation politics, transportation scenarios, energy analysis, energy efficiency, ton-km (tkm), passenger-km (pkm)