جستجوی مقالات مرتبط با کلیدواژه "topsis model" در نشریات گروه "جغرافیا"

According to the fact that place identity is influenced by various social, physical, semantic, functional, and natural factors, each of these dimensions has multiple indicators with complex internal relationships; Measuring and evaluating it is a fundamental and complex issue. Therefore, the aim of this study is to "provide a combined model for measuring the identity of place in urban spaces." To achieve this goal, quantitative methods have been used. First, the expert questionnaire with a sample size of 19 people was analyzed in the form of a combination of DEMATEL model and Analytical network process, then the questionnaire of space users with a volume of 384 samples in 12 urban spaces was analyzed by TOPSIS model. The results show that despite the decline in identity in recent decades, Tehran Bazaar as the central core of Tehran's historical district still has an acceptable level, but the further away from the Bazaar, the different dimensions of social, physical, functional, natural and the semantic identity is declining. Also, from a methodological point of view, it can be said that the combined DANP-TOPSIS model is a suitable model for measuring the various dimensions of place identity in an integrated way.

Measuring the quality of life by connecting human life with housing, which is an inseparable part of basic human needs, is challenging.

The aim of current research is to measure how the physical quality of housing affects the residents' quality of life.

The research method used is descriptive-analytical in type and applied for a specific purpose. To gather the necessary theoretical insight and review relevant literature and data, we utilized the library-field method. In order to gather the necessary statistics and information, we referred to statistical block 1395 in Zanjan city. We then used a hierarchical analysis model to determine the importance coefficient of each indicator, followed by the TOPSIS decision-making model for data analysis and ranking of regions. Finally, we used the ANOVA variance analysis model in SPSS software to verify the significant difference of the indicators in urban areas. The research was conducted on residential units located in four districts of Zanjan Municipality.

According to the study, regions one and four have the most desirable physical livability indicators in terms of housing when compared to other regions. The TOPSIS decision-making model showed that the desirability score in region one is 0.636, in region two and three it is 0.515, and in region four it is 0.477. The desirability score for all four regions combined is 0.546. The analysis of variance indicates a significant difference in physical livability indicators among housing in various urban areas of Zanjan. Due to the number of households exceeding the number of residential units, the average in all four regions did not show a significant relationship, and its value was higher than the intended error level. It means, measuring livability helps urban planners understand quality of life and environment. Measuring livability quality helps urban planners understand people's quality of life and environment of a place.

it can be said that from a qualitative perspective, even though satisfaction with the residential unit is not the same as satisfaction with the location, and its impact on staying in the place is not as significant as other factors, it is relatively easy to enhance the satisfaction with the residential unit by renovating and improving it. However, the lack of information structures and community involvement in improving the structures can lead to residents vacating the place due to dissatisfaction with their residential units.

Cities, as the most complex man-made structures, face a wide range of risks, both due to a wide range of hazards and due to their multiple vulnerabilities. Urban vulnerabilities are felt everywhere, from infrastructure and buildings to telecommunications, transportation and energy lines, and it should be kept in mind that reducing vulnerabilities on the scale of a city is not simply reinforcing buildings and single buildings. The disasters that have happened in recent years show that societies and individuals have become more and more vulnerable, and the risks and hazards have also increased. Risk is a combination of danger and vulnerability. However, reducing risk and vulnerability is often ignored until after accidents occur. Based on the predictions made, by 2030, about 6 billion people out of the 8.1 billion population of the planet will live in cities, and about two-thirds of them will live in metropolises.

The current research is applied and is descriptive-analytic in terms of implementation method. The statistical population of this research consists of experts and professors according to the subject, 30 people among them have been selected as the sample size using the personal estimation method. It was done in the 8th region by using some models (Topsis, Shannon Entropy) and finally GIS software was used to draw the maps. Statistical sources and documents were prepared for this purpose, and required maps were collected from related organizations and departments. In general, maps: 1. Map of municipal areas 2. Periodic development 3. Earthquake lines 4. Rivers, etc. were used in the analysis of this article. It should be noted that many of the maps were incomplete, and the authors completed and edited them. After editing the required maps, a new output was obtained, which was considered the final urban development map of Kermanshah metropolis.This article is trying to explain and use the integration of physical, social and natural components by using quantitative models and also considering the necessary indexing (fundamental studies). Also, solutions that can be implemented (operational methods) have been considered. In this article, purposes such as providing the zoning of vulnerability and the risk map for facilitating the identification of the critical regions of the Kermanshah metropolis, etc., according to the data and results of this research and determining the favorite directions for the physical-spatial development of the Kermanshah metropolis in the future with consideration of the earthquake risk zone and compliance with Passive defense considerations are followed. The results of the research and the favorite directions for the physical-spatial development of Kermanshah metropolis in the future, taking into account the earthquake risk zone, are followed. This process is displayed in the TOPSIS model by using the opinions of the respondents and the physical and spatial development of the city. According to the principles of Passive defense and research objectives, the research method has become operational. The article is practical in terms of its purpose and descriptive-analytical in terms of its application. To conduct this research, 4 economic, social, physical and natural components were chosen, along with their indicators.

The process of periodical development can be defined as the physical expansion of settlements (both urban and rural) that are registered in approved urban development plans or managed under the political-administrative rule of a specific organization, such as the municipality, at different historical periods. Also, from the digitization of aerial and satellite images, etc., by identifying the trends and mentioning the time of physical expansion, their authority depends on the continuous growth (interlacing or joining) of each period of time in a circular or sectional manner to the period before it (none from special exceptions, such as municipal management of a specific town in its immediate territory). Considering the map of the physical development of the metropolis of Kermanshah, it can be acknowledged in the historical ages that the periodic development process of Kermanshah was intertwined with the urban defense system, and in a way, the physical growth of Kermanshah was also a product of the defense factor. Also, the cause of the imposed war and the migration of provincial war veterans, etc., have been among the factors in this unbridled growth. This unbridled population pressure is so evident that the informal settlements and the injection of residential settlements outside the pre-planned development plans have broken the scope of the plan, and these factors, together with economic poverty and a lack of strict monitoring, have made many of the topics of meaningful Vulnerability according to the 45 components and indicators to such an extent that a meaningful relationship between the socio-economic base, like many of Iran's cities have a physical-spatial structure, gave the City a shape in the form of a socio-economic base. The socio-economic base, special neighborhoods and areas were chosen for settlement and the horizontal and scattered development of the City due to these separations spread beyond the original borders (before 1330) and areas 7 and 5 are near and along the mountain. Taq Bostan, and regions 8 and 4 in the heights and Mahor hills of Koh Sefid and regions 3, 2, 6 and 1 in the Kermanshah plain and parallel to the river continued to expand. Undoubtedly, this process of physical development and growth is inevitable in opposition to the scattered fault lines on the surface. The City is located, and it should be considered and paid attention by city managers by creating multipurpose uses and increasing open and green spaces per capita, preventing desertification, emphasizing strengthening, etc., the balanced and horizontal growth of the City in development plans. In the present article, with basic studies and theoretical foundations related to the subject and the study area, the required database in the ArcGIS software environment was formed, and then the vulnerability of the areas was assessed according to the conditions of the study area. Finally, the vulnerability of Kermanshah metropolis according to the principles of Passive defense and quantitative and qualitative criteria using ArcGIS software and the TOPSIS model in the form of a vulnerable zone map and the periodic development of the City and City development directions based on the location of Passive defense.

Cities are moving towards becoming networked and systemic, and the systemic approach is manifested in the system of cities, which contains all the localities and regions of the urban system. Therefore, we should not forget that threats are a living and serious element that has always existed in all human activities and man-made infrastructures. What is taken from the article as results is certain: this is that the distinction between the base and the socio-economic position in the analysis of urban vulnerability has shown its real expression in the more vulnerable zones 5, 7 and 6 and the zones 8, 4, 1, 2 and 3 with less vulnerability, which have emerged from the heart of the metropolis of Kermanshah. Because informal settlements, hieratical, inefficient and worn-out urban neighborhoods are generally located in areas with high Vulnerability (except for the historical context of the City on the border of zones 8, 4, 3 and 2), skeletal, resistant, open-space buildings, etc. are located in areas with less vulnerability. In conclusion, what is evident is that the circular growth and development of the City until 1330 and after that, the linear growth of the City from Sarab Taq Bostan in the northern side to Sarab Qanbar in the southern side was dominant until 1350, and the City, from this date until now, has spread all over and the physical growth of the City has dominated on the western and eastern sides of the City by the construction of industrial towns and the creation of residential areas in these sides with the aim of development programs and helping development and construction. The aspects of physical-spatial development will face problems practically in some regions. This requires concentration and attention to the various faults in the north and south of the city, along with the Qarasu river, which apply principles and considerations of Passive defense in urban development, increasing per capita green uses, relief, etc., using resistant materials, preventing desertification, and creating new multipurpose uses.

city parks; is an regions covered with plants in and around the cities, which has two important functions for the city. Temperature adjustment, air conditioning and beauty. Due to the lack of green spaces per capita and its inappropriate distribution in mashhad metropolis and the importance of this issue in research to evaluate and prioritize the existing parks in the region 13th mashhad metropolis based on 6 indicators, Facilities, beauty, security, access, distribution-scattering, space and the use of the TOPSIS model has been discussed. The descriptive-analytical research method was based on field survey with emphasis on the practical aspect and data collection. The results of the research findings show; among the 13 parks in the samen region of mashhad metropolis; the only park is omurshahr that its desirability and quality indicators have been upgraded to some extent. Also, the results of the TOPSIS model indicate that the park of the Amurshahr with score 0/993, shahid Fahmideh park with score 0/773, mir park 0/625 has highest. Eidgah Alley with score 0/240 and javidan park 0/185 and bah al-tolieh park 0/140 have the lowest quality and desirability.

 Tourism capacities are considered as special capitals of every country and region, and its introduction, classification and planning are of great importance for the expansion of the tourism industry, and since the 1990s, due to the agricultural stagnation and its subsequent problems in rural communities, experts and planners have They have emphasized the importance of expanding rural tourism. The purpose of this research is to investigate the potential of rural tourism (Gamish Tepe city). In this research, in order to prepare the required information and data, documentary and library surveys and field studies have been used, which first collect statistics and information and studies conducted at the regional level (including: climatic parameters, geomorphology, geology, hydrogeology, human and environmental) and preparing the required maps including: temperature, rainfall, hours, erosion, slope, geology, faults, underground water, surface water, land use, communication lines, protected areas, population centers, with GIS is used and according to the obtained information, the attractions, facilities, services and tourism situation in the region are investigated and then, by using the TOPSIS model, the tourism capacities of Gomish Tepe are ranked and leveled according to the respondents. has taken . According to the research results of Charqoli village with a TOPSIS rank of 612/. It was chosen as a model tourism village of Gomish Tepe sector. 

Unbalanced distribution of facilities as well as the existence of inequalities among and within provinces have always been the concern of social and economic organizations and institutions. Measuring the level of development can help identify the between existing situations and shortcomings, and hence support managers and planners in planning for the future and choosing the best solutions.   

This study aims to rank and recognize deprivation in provinces based on economic, social and infrastructure indicators.

This research is a descriptive-analytical study that determine and rank the provinces through three stages. First, experts selected and determined the weight of indicators, and in the next step, using the Shannon entropy method, the degree of importance of the indicators was obtained. After determining the degree of importance in the TOPSIS model, the indicators have been ranked and then the deprivation has been ranked in the provinces.

Geographical Context: 

The scope of research in this study is all the provinces of the country.

The findings indicated that Tehran province, distinctly, ranks first in infrastructure and economic compared to other provinces. On the contrary, in the social index, the value has moved towards normal and most of the provinces are almost average.

The results of this study show that Tehran Province is the most prosperous province. The deprived provinces are mostly in the eastern or western border zones and the privileged provinces are located in the central regions of the country.

Housing plays an essential role in the economic development of any country and constitutes % 10-20 of the total economic activity of each country and is also the largest fixed asset of households. The need for housing is not only one of the basic human foundations, but also the standard of living of the people.  Global access to housing has been on the agenda for sustainable development. The right to adequate housing for all urban residents is one of the most important factors in promoting inclusive urban development. In order to promote this right, proponents of urban rights have emphasized the urgent need for real estate agencies, government leaders and municipalities to move forward in urban space through a comprehensive approach to housing development projects.  As affordable housing can provide for low-income urban groups. Accordingly, the aim of the present research is quantitative and qualitative indicators analysis of housing in the metropolis of Isfahan.

The present study is applied in terms of purpose and descriptive-analytical in terms of method. The statistical population is related to the legal boundaries of Isfahan in 2016. SAW and Topsis models have been used to the data analysis. In this research, have used 16 indicator for status of quantitative and qualitative housing indicators of low-income groups in Isfahans. Quantitative and qualitative indicators of housing for low-income groupshave been analyzed including the type of occupation, infrastructure level, quality of buildings, type of materials, number of rooms and household dimensions, housing facilities in Isfahan.

The total percentage of ownership has increased from %76.2 to %61.5 from 2007 to 2016. However, the share of tenants has increased from %16.6 to %26.3, which is almost double. This indicates the downward trend of this index during the study period.  The amount of rent in the first four deciles was 20.15, 35, 15.7, 25, respectively in 2007 In 2016, it has increased to %57.7, %35.9, %27.5, and % 15. An important point in this regard is the promotion of this index for the fourth decile of the target community. The infrastructure average of residential units in the lower deciles has been decreasing in all deciles from 2007 to 2016. The important point is the large distance between the lower deciles and the upper deciles. While on average %62.8 of the quality of buildings in Isfahan is acceptable, but this index is equal to %36.3 among low-income groups, which is very inappropriate. This shows that the useful life of residential units occupied by these groups is lower than other income groups.  The residential units materials of low-income groups are less resistant than other income groups in Isfahan.  The number of rooms average per household for low-income groups is 2.6. This figure is 2.9 for middle-income groups and 3.2 for high-income groups in Isfahan. While there are only 0.63 room for a person in the lower income grouss, this figure is equal to 1.3 rooms for a wealthy person. Therefore, the results analysis of the individual-to-room index has showed that there is 1.6 people per room in a low-income household. Also, there are 0.78 people for a room in the high-income group. On the other hand, the household dimension is also higher in low-income groups than in other income groups. In terms of housing facility index, the percentage of lower income groups is lower than others. The results of SAW and Topsis models also confirm the quantitative and qualitative status of housing indicators among income groups. The SAW and Topsis score for lower-income groups is lower than the average, and the high rate of change among income groups has indicated divergence and gaps between income groups. Therefore, according to the results of the calculations of SAW and Topsis models, it can be said that the quantitative and qualitative status of housing indicators among low-income groups in Isfahan is not in a good situation.

Examination of housing indicators of low-income groups has shown   the low quality of housing in this group in Isfahan. While the average ownership in high-income groups in Isfahan is %70 and for low-income groups is % 35. Therefore, the type of ownership of the owner is lower among the low-income groups of Isfahan than other groups. The average per capita of housing in low-income deciles has been 55 square meters over the past five years. During the same period, this index was equal to 105 square meters for high-income groups. This indicates a declining per capita in low-income deciles. A study of the quality of buildings has showed that %31.3 of low-income housing groups are destructive and only %36.3 are acceptable. However, the percentage of destructive housing in high-income groups is only %8. This indicates a high rate of destruction in the homes of low-income groups, which exacerbates their need for adequate housing. In terms of materials, Residential houses of low-income groups in Isfahan has made of brick or iron and stone (%67) and 10% of metal frame (%8) or concrete (%2). Therefore, the level of their destruction has increased due to the low resistance of the housing materials of low-income groups. So the need for better quality housing is felt more for this class. Per capita room of low-income groups is 0.63 in the city of Isfahan while this rate is 0.85 for medium-income groups and 1.28 for high-income groups. Housing facilities are less suitable among low-income groups. Improper location of low-income groups has exacerbated environmental problems and reduced access to urban facilities and services. n addition, according to the results of calculations of SAW and Topsis methods, it can be said that the quantitative and qualitative status of housing indicators among low-income groups in Isfahan is not in a good situation.

According to the decision of the Supreme Council of Unbanning and Architecture of Iran (2005), burnout in urban areas "reduction of efficiency" of one texture compared to other textures of the city was introduced and in the decision of 1385, only three indicators of instability, impenetrability and microdermabrasion were sufficient. However, studies have identified quantitative and qualitative weaknesses in determining these indicators. The present study aims to rank the indicators for determining the range of dysfunctional textures of Inner-City, with a case study on the city of Rasht. This research is practical and documentary in terms of purpose. After documentary studies and review of the literature, the indicators were identified and ranked, and thus, by applying the opinion of 8 experts, two techniques of process of analytic hierarchy analysis and preferential prioritization based on similarity to ideal responses were used. After the indexing process, 22 indicators were explained in relation to the identification of dysfunctional intermediate textures of cities, and in terms of environmental, economic and social conditions of Rasht city and the application of expert opinion, 12 qualified indicators were finally ranked. The results show five dimensions: physical, social, functional, economic and environmental. In addition to the three permanent indicators of instability, impenetrability and microdermabrasion, indicators such as poverty and deprivation; High level of unemployment, poor educational status, high population density, age of buildings, uncertainty of ownership, and lack of open and green space indicate the trans-physical dimensions of dysfunctional inner-urban that can be identified in the country's metropolises.

The ever increasing population of cities and the migration of people to cities has created many changes in the spatial structures of cities. Some models like smart growth have been proposed to control and improve the situation. The model emphasizes increasing urban density, changing land uses, and reducing car uses. Using a descriptive-analytical method and considering 63 indicators of economic, social, physical, environmental, and accessibility aspects, this study explored the situation of all four urban areas of Yasuj, regarding indicators of smart city growth. TOPSIS model was used for ranking and cluster analysis model was used for leveling the neighborhoods. The results of the study showed that onnly Area 1 of Yasuj has indicators of smart city growth and other areas of the city (i.e., Area 2, 3, and 4) lack these indicators. According to the TOPSIS model, Area 3 and 4 have some of the indicators and Area 2 lacks the indicators. Moreover, the results showed that, based on the integrated indicators of smart growth, amongst 23 neighborhoods of Yasuj, Neighborhood 17 has all the indicators, Neighborhood 3 has most of them, Neighborhood 22 has half of the indicators, and other neighborhoods are deprived in this regard. The results of regression analysis showed that environmental and physical indicators (land use) with 95% confidence have a significant relationship with the dependent variable (indicators of integrated urban growth of neighborhoods of Yasuj). The results of the analysis of the neighborhoods regarding the integration indicator show that officials should pay attention to smart city growth model.

Physical-Spatial Analysis of Hamadan Urban Areas Based on Integration of Smart Growth Indicators. Urban growth management improves the economic and social paths using smart growth principles which surveys expanding new urban development through stabilizing and revitalizing existing neighborhoods. In fact, smart growth is a planning theory that emphasizes stopping the spreading of the city.This study aims to analyze and evaluate four regions of Hamadan city’s acquiring of different smart growth indicators. This study is applied research in terms of objective and descriptive in terms of method and the TOPSIS multi-criteria decision-making model is used for spatial analysis of urban smart growth indicators. This study is applied research in terms of objective and descriptive in terms of method and the TOPSIS multi-criteria decision-making model is used for spatial analysis of urban smart growth indicators. The results indicate that area one with TOPSIS combined score of 0.7569 ranked first (acquired), area two with TOPSIS score of 0.5143 ranked second (semi-acquired) area three with TOPSIS score of 0.4669 ranked third (deprived) and area four with TOPSIS score of 0.3136 ranked fourth (deprived). Therefore, the distribution of smart growth indicators in Hamadan city has not been fairly distributed, and there is a great difference among the Hamadan city districts so that there are all types of acquired, semi-acquired and deprived zoning in the four districts of Hamadan. In addition, population distribution indicates that the population density has been very high in the areas close to the city center of Hamadan (Imam Khomeini Square) and the first and second rings, and the population density has gradually decreased in the outskirts. Keyword: urban sprawl, smart growth, density, topsis model, hamedan

The increasing growth of urbanization in terms of number and population in the last two decades without fundamental changes in urbanization patterns has caused many economic, social and environmental problems for its inhabitants. In order to overcome these problems, the idea of ​​sustainable urban development and in line with it, new approaches and strategies such as smart urban growth have been proposed by urban thinkers. Smart urban growth is one of the new models of urban planning to organize the development process of cities and respond to the scattered urban growth. In fact, the smart growth strategy seeks to reshape cities and lead them to a viable community with access to a favorable environment, an integrated urban transportation system, urban congestion, and mixed uses. In the present article, the five urban areas of Marand have been studied in terms of urban land use according to the indicators of smart urban growth strategy. The research method in this article is "applied" and concerning the method is "descriptive-analytical". Using the AHP method, the desired indicators have been weighted and using the TOPSIS multi-criteria decision model have been analyzed and evaluated in the five areas of Marand based on smart urban growth indicators. The results of TOPSIS model show significant differences in terms of smart urban growth index and urban land uses in Marand urban areas. So that District 3 of Marand with a TOPSIS score of 0.1133 is in the first rank and District 5 with a TOPSIS score of 0.0128 is in the last one. Due to the inequality of areas, while paying attention to the strategy of smart urban growth in the whole city, districts 1 and 5, which are less developed, should be considered in the priority of development plans by city planners and authorities.

The idea of a creative city emphasizes that at first glance, there are always potential opportunities in cities that, if considered by city planners and managers, can have a lasting effect on the flourishing of urban creativity. Although the basis of urban creativity is cultural indicators, but the wide range of urban capacities from human and social capital to cultural, educational, scientific, religious, social and economic facilities have fewer grounds for the emergence of creativity. Tehran, as the capital and the most important metropolis of the country, has vast capacities to take steps towards a creative city. Ethnic and cultural diversity, specialized creative class, and many spatial capacities are among the most important advantages of Tehran to be a creative city. In this study, through survey work and specialized CVI and CVR questionnaires completed by 25 urban planning specialists and professors, several valid and reliable spatial-ecological indicators that affect urban creativity were identified. Then, by compiling a qualitative questionnaire based on the statistical population of 9423703 people in Tehran metropolis and a sample population of 385 people, using urban planning models and using ArcGIS10.3, SPSS 21 and Topsis Solver3.1.0 software, the analysis was performed. By summarizing the results of questionnaires and statistical analyzes of spatial indicators, 17 out of 22 districts of Tehran were in very poor to good clusters and five districts were in very good and excellent clusters. District 6, being located in cluster 1, had the conditions of a creative city, and districts 17 and 21, being located in cluster 5, were recognized as outside the general framework of the creative city.

The main purpose of the present study was to evaluate the quality of urban life in Ardabil city using a combination of remote sensing data and spatial information. To achieve the final index of quality of life in Ardabil, sub-criteria related to four main criteria of environmental hazards, social, access and physical were selected separately based on the research background. The ANP process was used to assign weight to these sub-criteria and criteria. Then Arc map software was used to produce quality of life map in each territory separately and to achieve the final quality of life index in Ardabil city. The TOPSIS model was also used to rank different areas of the city in terms of quality of life. Spatial distribution of quality of life index in Ardabil city indicates that quality of life is moderate so that region 1 and parts of regions 2 and 4 have a higher quality of life compared to other parts of the city. Zone 3 has a low rating in this regard. The findings also indicate that among the effective domains of urban quality of life, social criteria, environmental hazards, access to public and physical services are respectively as significant as 0.28, 0.27, 0.25 and 0.20, are the most important factor in analyzing urban quality of life. The results also demonstrate the high capability of remote sensing technology combined with spatial data to assess quality of life in urban areas, which can assist urban planners and managers to better manage the city.

The unbalanced distribution of facilities and activities as well as the existence of inequalities both among the provinces and within each province has always been the focus of social and economic organizations and institutions of the country. Determining and measuring the level of development can identify existing situations and shortcomings and on the other hand help managers and planners in planning for the future and choosing the best solutions. In this research, which is of descriptive and analytical type, three stages of work have been done in order to determine and rank the provinces. First, the experts selected and determined the weight of the indicators, and in the next step, using the Shannon entropy method, the degree of importance of the indicators was obtained. After determining the degree of importance, in TOPSIS model, the ranking of indicators and the degree of deprivation in the provinces has been done. The results of this study indicate that Tehran province is the most prosperous province in terms of infrastructure and economic indicators. Distribution of deprived provinces is mostly in the east and west border of the country and rich provinces are located in the central regions of the country.

This research is of applied type and its method is descriptive-analytical. Data collection was done by library and field methods (survey method based on a questionnaire). The statistical population includes the villages of Dashtvil district, of which 12 villages have been selected based on spatial sampling. The sample size was determined by Cochran's formula and applying its correction method to 133 households. A one-sample t-test was used to compare differences and the Friedman test was used to rank the indicators. Also, the TOPSIS model has been used to analyze and rank the villages, and finally, the Kriging spatial analysis method has been used to show the spatial pattern of the foundations of livelihood. The results showed that the five dimensions of livelihood capital, in general, are in an unfavorable situation in the studied rural. Of these five dimensions, the dimensions of natural capital and social capital are in good shape. The results of the ranking based on Friedman's test showed that the dimension of livelihood capital is in the first place and the ranking of indicators, vegetation is in the first place. According to the results of the TOPSIS model, Chelgasar village was ranked first. The results of Kriging spatial analysis indicate that there is a spatial difference in the villages of Dashtville district so that the villages located in the eastern space zone are in a good condition and the villages located in the western space zone are disadvantaged.

Urban livability as one of the most important elements of quality and urban attraction, has received increasing attention in various cities. This concept refers to social comfort, health and individual and social well-being in the city, which are also principles of sustainable development. In this regard, the present study has been conducted with the aim of evaluating the dimensions and components of livability in the areas of Khorramabad. The research method is descriptive-analytical using a questionnaire. The statistical population is all citizens of Khorramabad, which in the 2016 census was equal to 380829 people. Charles Cochranchr('39')s formula was used to estimate the sample size, and according to this formula, the number of samples was estimated at 384 people. The obtained data were analyzed using Spss, Arc Gis, Excel software and one-way analysis of variance (ANOVA) and TOPSIS models. The results showed that there is a significant difference between the areas of Khorramabad in terms of dimensions of livability and in the areas of the city the dimensions of livability are associated with intensity and weakness. The TOPSIS model also showed that in terms of total viability, Shaghayegh area with Si 0.823 has the highest bioavailability and Hot Valley area with 0.176 Si has the lowest bioavailability among Khorramabad city and other areas. Are also in between.

The expansion of urban areas is an issue that has preoccupied planners and researchers for many years and the interest on these issues is expected to continue in the future. Such that Nowadays spatial distribution analysis, modeling and prediction of temporal variation and characteristics structure of cities - a place which has become an important research topics. Urban sprawl, a kind of urban poor is one of the major concerns of urban planners and managers. In recent decades, urban growth analysis from different perspectives to an operation essentially has become essential for many reasons.present research approach with" analysis to evaluation and ranking services the amount of thirteen districts in the triple city Noorabadi Mamasani the dependencies of Fars province. First quarters to enjoyment of these services with the use of the coefficient of Models changes and statistics examined and then using the model decision making several criteria to assess topsis and enjoying this urban slums of urban services has been dealt with. The results indicate that the discrepancies in the amount of enjoyment of the quarters of the city facilities is seen to be. So that the city central neighborhood hence of one and two neighborhood of Area two are High level. In the event that Eskan Ashaier and Dorahie neighborhoods Separated of the city center especially four and five neighborhood one area that has been scattered throughout the city Nurabad In the category of features and utilities are excluded. And Higher level includes dense and central areas the city.

Neighborhoods, as the smallest unit of urban divisions and cells that form the urban fabric, always play a special role in the urban planning system. Because neighborhoods together give meaning and identity to the city, many cities today face neighborhood crises and problems. District 6 of Tehran, with its characteristics such as the age of the area, business situation and physical and managerial problems, is facing different problems, and therefore the approach of citizen participation in the development of neighborhoods is one of the processes that can have significant effects. Play in the growth and improvement of neighborhoods. In this regard, the present study uses descriptive-analytical and applied methods to analyze and evaluate people's participation in neighborhood development using the Topsis model in District 6 of Tehran. The statistical population of the present study consists of experts in the fields of political geography of urban management with a sample size of 35 people. In the present study, five criteria were examined: the level of participation in the management of neighborhood affairs, participation in maintaining the green space of the neighborhood, participation in urban decisions, informing the managers of neighborhood problems and the level of neighborhood development. The results showed that areas 1, 2 and 6 have almost the same and high participation rate and in the meantime, District 4 and then District 5 have the lowest level of participation in District 6 of Tehran.