The above research evaluates the access and use of rural services of the villages in the province of Gilan, as examples of reducing inequalities and increasing the development. The method used in this article is applicable in terms of target, and cross-sectional in tems of identity. To do this research, morris model, indexing method, standardization and dividing by average are used. After comparing the villages of the province in terms of rural services, the obtained outcome indicates that accomplished results and ranking are in high agreement, so that in all models, villages of Saravan, Kelishami and Gol Sefid have the most access to facilities and services and mountain villages of Talesh, Shuil and Eshkevar Olia are the most deprived villages in rural facilities and services, respectively. Based on studied indicators, the distance between deprived and wealthy villages flactuates from 2 to 10 times. This situation reflects the gross spatial inequality of having advantage of facilities and services in the villages of province Gilan.

Landslide mapping is one of the approaches (which can be) used to define the slope stable critical areas and the maps prepared based on this demarcating are used in desining sustainable development. The purpose of this study is to compare the landslide susceptibility mapping models based on Fuzzy logic, Information value and area Density applied in the Chamsangar watershed. According to the tectonic and Iran old basins divisions, this basin is a part of folded Zagros. To study the stability of slopes in the Chamsang field, in first step the sliding point and subsequent distribution maps of landslide were prepared using satellite images and field visits (recording the sliding points by GPS). in this study, Landslide-related factors such slope, aspect, altitude, lithology, rainfall, landuse and distance from the road and drainage used in the landslide susceptibility analyses. To assess and classify was there models outputs the Sum of Quality (QS) index used. Results show that area Density model with QS=1.85 is the more suitable than Information value model with QS=1.60 and Fuzzy logic with QS=0.554 based on the out put of the area Density model, the 36.31, 44.78, 16.62, 1.65, and 0.63 percent of the area is located in very low, low, medium, high and very high risk classes, respectively.