حسین موسی زاده

Leveling tourism destinations is used as an approach and strategy in order to decrease the misbalances of the area and region. In this manner, the present study is prioritizing tourism destinations infrastructure of Kermanshah province using the SAW and GIS technique. The infrastructures under study in this research includes tourism sample areas, transportation corporations, number of cinemas, theaters, fairs, Islamic holy places, gas stations, public inhabitants, transported passengers, travel agencies, and restaurants. For analyzing the related data related to the tourism infrastructures of Kermanshah province which are extracted from the annual statistics of the year 2013, the decision making technique of simple average weighting SAW in the software of excel and also in order to draw the map of spatial distribution of province’s tourism infrastructure the Arc GIS software was used. The results show that although the Kermanshah province has many touristic attractions but due to not-providing of equipment and required facilitations and imbalanced in distribution of tourism infrastructures, a massive difference exists in the manner of tourism infrastructure in the province. In a manner that the Kermanshah township as the center of the province has the most tourism infrastructure and solasbabajani has put the most enjoyable and the most deprived in the province.

Climate builds not only a resource for tourism as a driver but can be a limitation. Climate is usually described by air temperature and rain conditions and sometimes by the sunshine duration at a location. Nevertheless, these parameters are less representative for the spatial and temporal climate variability of a region and do not cover all the components of climate. In this research, due to the impact of climatic factors in tourism planning, determining tourism climate index (TCI) is of great concern. In this project, to assess the tourism climatic conditions using bioclimatic index (Tourism Climate Index), data from 10 synoptic stations of Gilan in a 10-year period (2012-2003) was collected and incomplete data through linear regression was rebuilt. In this system model, 7 parameters, the average monthly rainfall, average temperature, average relative humidity, maximum temperature, minimum relative, the mean daily sunshine duration and wind speed were evaluated. The aim of this study is to investigate the conditions of tourism climate in Gilan province based on TCI tourism climate and using the techniques of geographic information systems (GIS), they have mapped out and prepared the map of TCI for all months of the year. The results of this study showed that the optimal conditions in the region in terms of tourism climate are in May and the most difficult month in terms of tourism climate is in November which was the lowest TCI. In terms of geographical coverage, the ideal climatic conditions are more dominant in the North West (including the cities of Talesh, Astara, Anzali, Kiashahr, Roudsar).