جستجوی مقالات مرتبط با کلیدواژه « imbalance » در نشریات گروه « جغرافیا »

Bushehr province has many capabilities and potentials in the field of environment and economy. In terms of development, it faces spatial imbalances and social challenges in relation to the unfair distribution of facilities and services along the border. The development of the province in the planning system can play a decisive role in the stability and sustainable security of the southern region of Iran. The purpose of the research is practical and its methodology is descriptive and analytical. First, the weight of the indicators is calculated by FUZZY method and then the provinces cities are prioritized by using VIKOR model. According to the analysis, Bushehr province is the most prosperous county of the province and the next rank includes Assaluyeh, Kangan and Jam counties. Dashtestan township has occupied the least prosperous level. Industry, as a sector of economic progress, has played the greatest role in determining the level of development of counties as well as creating imbalances. Overloading of industrial capacity in some township will cause pollution and destructive environmental effects and will provide major challenges and threats to the structure of the residential system. Imbalances will also have consequences such as unemployment, poverty, insecurity and instability in settlements. Planning in the framework of territorial spatial arrangement is considered necessary in creation of a balanced spatial structure of the region. One of the most important research suggestions is to use all the capacities of the province in order to balance, because the north of the province has a large capacity in the field of tourism, If from which exploitation will be done, it can play a significant role in improvement and the balance of the region.

Today, one of the most important approaches in the optimal organization of space is the creation of a balanced spatial structure that plays a fundamental role in sustainable development. Optimal spatial structure requires balanced spatial distribution of population and activity in the environment. Optimal spatial structure requires a balanced spatial distribution of population in the environment. These two factors are the main pillars of the spatial structure and important role in creating or lack of proper organization of space. on the other hand, population distribution in space depends on the activity of distribution; as a result, the distribution of activity plays an essential role in the organization of space. The aim of this study was to examine the balance or imbalance of the spatial structure of Tehran metropolitan core based on performance. The research method is descriptive and analytical and of type its Causal-correlation. Information and data collection is a library. The data includes urban activities extracted from documentary sources. The number of indicators based activities was 25 cases. There are 25 activities which are included in 7 industrial, commercial, administrative, educational, recreational, cultural and therapeutic indexes. These seven factors are considered as the core functional metropolis. To investigate the functional core in Tehran metropolis is used Peter Hall Method used (the division activities on population in urban areas). To analyze the distribution of functional core activities and population in the metropolis of Tehran is using kernel density estimation method. To analyze the spatial patterns is used from the the mean center and standard deviation ellipses. To model spatial correlation Is used whit the geographically weighted regression (GWR). The results indicate that spatial patterns of functional core are a single pole. However, some components might have been bipolar. The positive changes have been made compared to the previous period. Spatial correlation results show that there is no link between the core functional and population distribution. Consequently, the location and position of the functional core of Tehran metropolitan area have a lot of problems and crisis

The change in urban systems is a continuous process that simultaneously occurs at different levels of space. This article aims to study the evolution of the urban system of Mazandaran province in the last 60 years. The research method is descriptive-analytic and the statistical basis of the data is the results of general population censuses and housing. In this research, Excel data was categorized by demographic data of urban areas and using the rank-size models, the class-adjusted minimum and the pulling coefficient of the urban system of Mazandaran province were analyzed. With Gis, maps of the spatial distribution of urban population were also drawn. The results show that urbanization in Mazandaran is moving along with the whole country, but its acceleration is slower than that of the country. In this period, the number of cities increased 6 times, urban population 12 times, and urbanization increased to 42.2 percent. According to the model, the size of the real and desirable population of cities is seen to be increasing as a surplus population, and as the tendency to balance is evident at high levels of the hierarchical system, there is no such improvement at the lower levels. In the corrected rule of Storges, the degree of difference between classes is increased to 5.6 times, and the number of classes to 10 metropolitan areas has increased, and there is a significant difference between the number of cities and their population in the last floor of this model, which indicates the imbalance and disruption of the situation The hierarchy of the urban system. The results of the model of pulling coefficient show that the small towns and villages in recent decades have been low and negative growth, whose declining role has caused a serious risk of balance in the Mazandaran city system.

Existence apparent instability of the region, the researchers have been using the statistics and information and adopt appropriate methods and techniques to analyze the spatial inequality and instability deals And illuminates the stability and sustainability of the ranking are differences in terms of enjoyment and ultimate causes. In this connection, the assessment of sustainable development is essential to ordered into the matter, and because of the special features and concept of sustainable development is very difficult. Considering that in a dynamic system such as the human population dynamics, stability means stable equilibrium over time. This concept is not something that can be easily measured, the stability of a constant quality is not a fixed point. It is important to assess what might be inclined to assess the balance over timeThe purpose of this study, comparative development Khuzestan province in two period of 1385 and 1390 is with an emphasis on sustainable development. In this study, we examined indicators for 1385 consists of 59 variables and 71 variables 6 index for 1390 in infrastructure, health, cultural, educational, and economic State Welfare The Statistical Yearbook 1385 and 1390 collected And the use of multi-criteria decision VIKOR, Khuzestan province is classified according to different levels of stability. The results of this paper show that the inequality in the stability in most areas of the city there. However, in 1390 to 1385 in some of the scales of inequality has diminished somewhat. Based on the results in the greatest improvement in the coefficient of expansion of cities, belonging to three city Hendijan (723/0) Masjed Soleiman (687/0) and 623/0 percent of the Andimesh And also the lowest improvement in three city of Abadan (257/0), Azadegan (252/0) and Iran to 245/0 percent, respectively.

Today, the redaction of inequality resources and facilities is one of the most important criteria for sustainable development and social challenge in our country. One of the main necessities of the national sustainable development process is attention to regional characteristics by utilizing a collection of economical, social, and environmental indicators in order to optimally designate resources for various regions along with identifying these differences. This research intends to analyze the level of development in provinces of Iran. First, 13 economical, social and environmental indicators have been identified and related data has been gathered for 28 provinces in Iran. In order to provide a composite indicator the method of factor analysis has been utilized and composite indicators for the provinces have been calculated and categorized. According to this categorization Kohkiluye and Buyerahmad, Tehran and Semnan provinces have been ranked first to third, while Kordestan, Sistan and Baluchestan and Hamedan provinces are ranked among the last.