Evaluating Infrastructures and Tourism Attractions in Oramanat of Kermanshah

Due to the high and quick growth of tourism, many experts call twentieth century as tourism century. This industry affects socials, cultural, and economical fields like foreign currency, incomes and revenues, costs and prices, distribution of income, emigration, division of labors, customs and arts.

The purpose of the present research is to explain the position of tourism infrastructures in Oramanat of Kermanshah province.
 

 After collecting data and information, Oramanat and other cities of Kermanshah province were weighted by using entropy method in terms of 15 criteria. Also WASPAS and SAR models and the integrated method (integration of the results of WASPAS and SAR models) were used to rank and evaluate the status of the development of Oramanat and other provinces of Kermanshah.
 

The results show that Ghasre Shirin province with coefficient of 0.6105 is placed in the first rank, and it is half-developed. The provinces of Paveh with the coefficient of 0.4556, Sanghez with coefficient of 0.3831, Gilan Gharb with coefficient of 0.3728 and west Islam Abad with coefficient of 0.3517 are, respectively, placed in the second to fifth ranks, and they are half-developed. The provinces of Herrin with coefficient of 0.3218, Kangavar with coefficient of 0.3107, Javanrood with coefficient of 0.2978, Dalahoo with coefficient of 0.2953, Kermanshah with coefficient of 0.2829, Sahneh with coefficient of 0.2763, and Ravansar with coefficient of 0.2589 are placed in the sixth to twentieth ranks, respectively. At last, two provinces of Salas Babajani with coefficient of 0.3251 and Sarpol Zahab with coefficient of 0.3114 are respectively placed in the 13th</sup> and 14th</sup> ranks, and they are deprived. In the integrated method, the dominant developmental space of provinces is half-developed. Nine provinces (62.29) are placed at the deprived level.

Among the innovations of this research, compared with other studies, is the use of new models (SAR, WASPAS) and the integrated method to integrate the results of the two models SAR, WASPAS.