Increasing young population and rising unemployment has led to employment and related indicators of serious problems and controversial country. In conjunction with the study and research on employment provinces, a variety of variables and factors involved and It seems that the lack of balance in the distribution of these variables, social inequality, economic, political and cultural between the provinces follow. Indices of employment in the provinces spatial distribution of employment index shows. The main purpose of this study is to clarification social inequalities of employment for equal distribution of possibilities in provinces. In this paper 55 softened are used. Variables dropped to 10 by means of advanced statistics methods such as factor analysis and presented in combination with meaningful factors. The importance of every factor is given too. Then the country provinces were divided into five equal classes by the cluster analysis model. The research results indicate this fact that there are serious imbalances in the country. So that in terms of employment Tehran province is in the first and south Khorasan province in the last place.

The purpose of this research is to investigate the factors which are affected the functional changes of rural areas in Qom province which was implemented by the descriptive, analytic-measuring methodology. In this project, 145 experts and managers related to planning and rural development were questioned about their views. After this investigation, by the method of factor analyzing, eight key factors as the affective factors on functional changes of the rural areas were extracted and entitled. First factor, limitations in development of agriculture and employment in rural areas have at least 14% of the total variance and identified as the most important factor. Access and interaction of urban and rural areas, the promotion of tourism, the urbanization of the rural environment attractive, the new investment in rural areas the population changes and the facilities and services, respectively, 12.79% ,9/48% ,8/50% ,6/80% ,5/20% ,4/84% and 4.46% of the total variance of the variables explained

This study was designed to investigate the state of the industry in the city of Mashhad, location criteria and how it is done. Nyazmany data were collected from administrative apparatus. No action has been produced in layers. Studies show that the industrial units without consideration of the physical environment and the lack of urban space (number of units within the service area) were located. Current status of plants and the need to transmit polluting industries within the urban context. So, check the appropriate areas for new settlements to transfer these units to develop strategies of the main industrial estates and organized industrial activities in the city of Mashhad. Location and description of the complete database design and conceptual modeling has attempted to locate the new town. The results indicate that in ten years time horizon of about two thousand acres of land for expansion needs.

Financial and commercial centers (i.e. banks and financial and credit institutes) are considered as an important activity of urban spaces and paying attention to their location and installation site is one of the most important parameters in their success and beneficence. In this study, in order to identify the optimal location for installation of financial and commercial centers the RBFLN neural Network which is a transformed model of Radius Based Function neural Network (RBFNN) was used in combine with ORESTE multi-criteria technique. Two and multi-classes data of economic, commercial, educational, cultural, sanitary, therapeutic, recreational, administrative, population, and transition were entered to the neural network as multi-dimensional vectors based on radius of influence. 69 sample branches and 34 un-optimal points were used for network’s learning. The results indicates the two- classes RBFLN network with 800 repetition times with the least learning and classification error as the most appropriate class in identifying the optimal places for installation of financial and commercial centers (Screening Phase).

The purpose of this study is to determine the potential of development in partial of Bandar-Abbas city, using degradation model and analytical capability of GIS. In this regard, firstly the study area was divided into 149 grid cells of 900 hectares (6×6 cm; on map of 1:50000 scale). Then, on the basis of degradation model, destruction coefficients have been calculated in all units of network. Ecological vulnerability has been calculated and classified by using biophysical maps. Then, in the next stage, destruction factors has been determined and calculated also physiological density has been calculated and in final, destruction coefficients have been calculated in all impact units. The results show that 130 units (87.23%) of network; need to be restoration and 18 units (12.07%) require protective actions. In the study area, areas with prone to develop has achieved very small percentage (0.67%). This paper suggested applying environmental educations for beneficiaries and attractive their collaborations, to set environmental management system in industrial factories, and to apply environmental capability evaluation and supervising on implement of state land use plans and EIA to prevent of the destruction.