Abstract This study aimed to assess the contexts and barriers to smart growth in Khorramabad city center has been developed as a town, Method employing descriptive - survey is based on a library of resources. Based on the results of the survey show those respondents' views; The most significant growth potential of applying intelligent city of Khorramabad can be admitted in terms of demand and incentives, he said. Physical and environmental conditions Khorramabad as the potential for growth of smart cities are considered. The most significant barriers to smart growth policies in the city, including factors such as: Approaches to management, application distribution (distribution of their improper), and the cultural situation - socially and economically dominant city. It could have access to smart technology can play an important role in improving the living conditions of citizens may buy land.This will involve addressing important issues such as changes in system planning, urban management practices, infrastructure and culture is given.

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.