Land is the most important factor in the physical development of cities; land management has now become one of the most important concerns and concerns of local governments. Also, the sprawling growth of cities has degraded the environment and natural resources around the cities. Meanwhile, due to inadequate and accelerated decision-making, some of the inner-city and inter-contextual capacity of cities for development or redevelopment has been overlooked by urban managers. Cities play an important role in the economic growth of each country, with nearly 60 percent of the GDP of developing countries being produced in cities. They are the main engines of the growth of each country's national economy. The present study attempts to investigate the decision-making patterns of urban land policies in the physical development of Sari. The type of research method is descriptive-analytical and it is of applied nature. The findings of the study indicate that the lack of a clear vision and consequently uncoordinated policies and institutions, centralized and non-cooperative decision making, and excessive tenure without the necessary institutional capacity are the most important reasons for the inefficiency of urban land management policy. Therefore, the appropriate model of government policy in urban land management is integrated urban land management based on clear and necessary vision formulation. Expressing a one-piece strategic policy, and delegating part of the government's powers to the lowest level of local institutions with more specific capacity building, government intervention in the four areas of land management, land use, taxation and construction must be consistent and consistent. Since the government does not have the institutional capacity to perform such verification, it is limited to policymaking and oversight to achieve the policy goals and fulfills part of its verification duties in each of the four domains whilst capacity building the necessary training courses. It moves step by step with the policies adopted to the lowest level of local institutions

Urbanization and urban growth as a global phenomenon have affected all the countries of the world. Ahvaz city has seen its diverse body tissues throughout its lifeless life. Over time, land use in Ahvaz city has undergone a lot of changes due to the presence of factors and forces that has been unfavorable and has affected agricultural land so much. The main objective of this research is to investigate the physical development of Ahvaz city. This research is applied in terms of nature and descriptive-analytical in terms of methodology. In order to achieve this goal, firstly, the physical expansion in the city of Ahvaz was reviewed in the comprehensive plan approved in 2010, and then 14 indicators were extracted to study the optimal development of Ahvaz city development, which were standardized using Fuzzy Logic (FUZZY) Continued for the optimal model using the ANPDEMATEL combined analysis model. Three levels for the expansion of this city have been identified in combination with OVERLAYFUZZY and GAMA/ 0 in the GIS environment, the output maps were also extracted using the ENVI and ARCGIS software. The results showed that at the level of predictive models of agricultural land with weights of 0.101 and 0.118, the most important factor has been changed in the process of physical expansion of the Ahvaz city. Also, using the map of physical expansion in the year 2010 and the outline map of the level of physical expansion in this study showed that the physical expansion of the Ahvaz city is not consistent with the comprehensive plan approved in 2010.

The emergence of new cities can be attributed to the significant increase in the population of urban areas. Over the past two decades, numerous new cities have been established in proximity to the country's metropolises, with the new city of Sahand serving as a pertinent example. The primary objective of this research is to elucidate the physical development trajectory of Sahand, utilizing Landsat satellite imagery spanning the statistical period from 1373 to 1401. To this end, satellite images corresponding to four distinct statistical periods (1373, 1383, 1393, and 1401) were acquired from the Landsat 5 and Landsat 8 satellites. By applying a band calculation function to the images captured by the Thematic Mapper (TM) and Operational Land Imager (OLI) sensors, the physical changes in the urban fabric of Sahand during the specified temporal intervals were quantified and analyzed. The findings of this research indicate that the physical growth and development of Sahand commenced in 2013, at which point the urban area encompassed 282 hectares, representing a 28-fold increase since that year. In the subsequent decade, the urban area expanded to 570 hectares, reflecting a 100% growth relative to the previous decade. Ultimately, during the final decade under review, the urban area reached 850 hectares, exhibiting a growth rate of 50%. Notably, District 6 of Sahand, which constitutes approximately 35% of the city's physical fabric, emerged as one of the fastest-growing regions between the years 1393 and 1400. Moreover, a statistically significant correlation was identified between population growth and the physical development of Sahand during the statistical period from 1380 to 1400, with a confidence level of 0.95 (P_value=0.05) and a correlation coefficient (R) of 0.91. Consequently, the regression model fitted to the relationship between population growth and urban fabric expansion, when incorporating the projected population density following the implementation of Mehr housing policies (which anticipates a population of 185,000), suggests that the area of Sahand's physical fabric will increase to 1,181 hectares in the forthcoming decade, indicating a growth rate of 38%.