Showing 25 results for Karimi
Narges Karimi, Farah Habib, ,
Volume 0, Issue 0 (3-1921)
Abstract
A sense of belonging to an environment is an emotional connection that takes place between people and the external environment. Many studies have shown that the existence of this connection and its deepening between the person and the environment has a significant role in promoting the physical environment and the emergence of positive social behaviors. Therefore, recognizing the sense of belonging and the factors affecting it and ways to improve it is one of the issues that can lead to the improvement of living conditions and physical environment. Among the many factors that affect the sense of belonging, the time factor as one of these factors can be effective from two perspectives; Duration of residence and age of the environment. In this study, while researching the effect of each of these factors on the sense of belonging of residents, a comparison between these two factors and the intensity of the effect of each on the sense of belonging has been done. The present study is applied in terms of purpose and descriptive-analytical in terms of method. In order to collect the required data and information, library and field methods and questionnaire tools were used. The statistical population of the study consists of citizens living in the six studied neighborhoods in Zanjan. The sample size was estimated to be 300 people using the Cochranchr('39')s formula. SPSS software was used to analyze the data. The results showed that the sense of belonging in the study areas is moderate to low. The results also showed that the duration of residence and the age of the environment have a positive and significant effect on the sense of spatial belonging and its components. Among the variables, the effect of the environment variable on the sense of spatial belonging is greater than the length of stay, so that the age of the environment predicts 27.1% of the variance of the variable of spatial belonging.
Ghazal Asadi Eskandar, Bahador Zamani, Shahab Kariminia, Maryam Ghasemi Sichani,
Volume 0, Issue 0 (3-1921)
Abstract
Increased temperatures in urban areas due to high energy consumption and greenhouse gas emissions are some of the problems of today's cities. Urban open spaces in hot and arid climates experience this problem more in summer. The purpose of this study is to show the relationship between morphological components of the urban fabric and thermal comfort through integrated analysis. In this study, urban fabric types were extracted by considering ground space index, floor space index, open space ratio, average height, streets orientation, streets organization, and type of plots according to their configuration of mass and space. To study thermal comfort, a field study was carried out in five neighborhoods in the historical context, for five continuous days in summer. Environmental variables including air temperature, humidity, radiant temperature, and wind speed were measured and the physiological equivalent temperature index was calculated using ENVI-met software and thermal comfort in the neighborhoods with different morphological characteristics was analyzed. The results showed that more than half of the data during the day in the hot season in all five neighborhoods are in conditions of extreme heat stress. Comparison of neighborhoods with different morphological features indicated that two neighborhoods with higher open space ratios, despite the difference in the orientation of the streets and the type of plots, have lower thermal comfort compared to other types. A neighborhood with a higher ground space index and a lower open space ratio has a lower average physiological equivalent temperature.
Tahereh Karimi, Amir Karam, Parviz Zairean Firuzabadi, Seyyed Mohammad Tavakkoli Sabour,
Volume 0, Issue 0 (3-1921)
Abstract
Abstract
Every year slope hazards and landslides cause significant damage in the mountainous areas of Iran, including the eastern Alamut region in Qazvin province. Recently, radar data has been widely used to detect ground surface movements, slope slow motions, and active landslides. In the present study, using the Sentinel 1A satellite descending data in the period from 2018 to 2020, with the Small Baseline Subset (SBaS-InSAR) and also with the digital elevation model (DEM) difference methods, slope motions and Earth surface displacements have been extracted to provide the important goal of detecting new and active landslides and updating the landslide map to predict landslide risk. Results show that in the SBaS model, which was validated with GPS data, field visits and Google Earth images, accuracy was relatively good (AUC = 0.78), and the average annual movement during this period was estimated at -48.6 to 40.2 mm and fourteen landslide zones in the region, are identified among which some of the previous landslides are still active. To detect the landslide that occurred in Khobkuh on April 3rd, 2020, DEM difference model estimated the surface changes between -1.62 to 2.75 meters and differential interferometry model estimated the displacement rate in this area from -25 to 70 mm. These methods have many advantages for estimating the Earth surface displacement, subsidence and landslides, determining vulnerable areas in mountainous areas and reducing financial and human losses.
Tahereh Karimi, Amir Karam, Parviz Zeaiean Firuzabadi, Seyyed Mohammad Tavakkoli Sabour,
Volume 0, Issue 0 (3-1921)
Abstract
Abstract
The catchment area of Alamut River in Qazvin province is witnessing numerous landslide hazards and landslides every year, which cause significant economic and sometimes life-threatening losses. Diagnosing the unstable areas of slopes through soil texture characteristics is a difficult task due to the difficulties of obtaining soil samples in mountainous areas. For this reason, in the present study, by using Sentinel A1 radar data, by determining the percentage of clay and sand in the soil, the soil texture map at the depths of 10, 60, 100 and 200 cm with two random forest (RF) and support vector machine (SVM) algorithms was produced in the eastern Alamut region, which was verified with soil profile samples. The results indicated that the Kappa index was more accurate in the RF model at three depths of 10, 60 and 100 cm. Then, by extracting the soil moisture map from Sentinel 2 data, at the same time as examining the internal friction angle of the types of soils in the region, comparing the slope and profile of the slopes and the shape of the convex (divergent) and concave (convergent) slopes, the unstable areas of slope movements, RF and SVM models were specified and validated with GPS data, field visits and Google Earth. Research findings show that the instability map resulting from the RF model has a higher accuracy (AUC=0.93) than the instability map resulting from the SVM model (AUC=0.90) and there is more instability in areas with medium to high slope and with soil texture of sandy clay loam and sandy loam. . This method has many advantages in preparing the soil texture map, determining the unstable areas of the slopes against mass movements and landslides, determining the vulnerable areas in mountainous areas and reducing financial and human losses.
Mr Fazllollah Karimi Ghotbabadi, Dr Ali Zangiabadi,
Volume 0, Issue 0 (3-1921)
Abstract
Earthquakes resilience, which is actually how social, economic, institutional, geographical, etc. capacities of societies are affected by earthquakes, is one of the issues that should be considered in any society. It is worth noting that the type of attitude towards the issue of resilience and how to analyze it on the one hand, plays a key role in how to recognize resilience and its causes, and on the other hand also influences policies and measures to reduce risk and how to deal with it. The purpose of this study is to rank the resilience of new urban Habitations in the Isfahan Metropolitan earthquake risk using a combined index. Due to the studied components and the nature of the subject, the approach of this research is "descriptive-analytical". The statistical population of this study includes 6 new urban Habitations of Shahin shahr, Majlesi, Sepahan shahr, Fooladshahr, Baharestan and Shahid Keshvari. This research is applied in terms of purpose and in the research literature section, information has been collected through the library method. Based on the results of POSET, Majlesi, Baharestan, Foolad shahr, Sepahan Shahr, Shahin Shahr and Shahid Keshvari Habitations with the sum of options 3, 6, 7, 8, 11 and 14 in terms of the combined index of resilience against earthquake risk, respectively. They have 1-6. Therefore, in order to reduce the adverse effects that resilience has on any community, paying attention to the capacities of each Habitation is one of the issues that should be considered in every community to prevent human and financial losses caused by possible accidents.
Mostafa Karimi, ,
Volume 11, Issue 22 (1-2012)
Abstract
Maryam Hoseini, Mohammad Karimi, Mohammad Saadimesgari, Mehdi Heydary,
Volume 16, Issue 40 (6-2016)
Abstract
According to urban environment complexity and dynamism and need to targeted land use change, incorporation GIS and PSS in the form of Spatial Planning Support Systems is inevitable. The aim of this study is to develop a spatial planning support system for urban land uses change (ULCMS), such that planners can enter expert knowledge in the form of desired criteria and weights and see their influence in results. The developed system including modules for land suitability evaluation, calculation of the area of required land and land use change. Access models, neighborhood models and Multi Criteria Decision Making methods, fuzzy operators, linear regression, maximum potential and hierarchical optimization models is used in planning and implementation these modules. System practical test performed for measuring residential, commercial, industrial, agriculture and service land use changes for the year 1390 and 1395 in Shiraz city. The result shows that ULCMS help users in better understanding, showing complexity of land use system and development and improvement land management strategies for the creation of better balance between urban expansion and environmental conservation.
Mostafa Karimi, Ghasem Azizi, Aliakbar Shamsipour, Lila Rezaee Mahdi,
Volume 16, Issue 41 (9-2016)
Abstract
In this study is simulation of role of topography in thickness and Inland penetration of sea-breeze in southern coast of the Caspian Sea. The RegCM4 as a regional scale climate model coupled with a lake model and also the reanalysis data of NCEP / NCAR used to determine of the initial conditions of the model. The model was run during the peak of sea breeze on the southern coast of the Caspian Sea (July 2002) in both conditions (with mountains) and (without mountains). the outputs indicated that in without topography condition depth of the sea breeze will increase to the current position the southern slopes of the Alborz Mountains ( latitude ᵒ35 ) but the land breeze in the area is gone. The maximum speed and changes in wind direction observed on the coast southeast and central Alborz respectively. In addition with non-topography conditions, the thickness of sea breeze in different areas significantly has increased with the highest rate on the eastern coast (longitude ᵒ53).
Dr. Morad Kavianirad, Dr Yadollah Karimi Pour, Dr. Hedayat Fahmi, Mr. Sadegh Karami,
Volume 17, Issue 46 (12-2017)
Abstract
Efforts to provide security have always been of great importance to human being. In recent decades, the security issues of climate change have attracted attentions due to its sustainable consequences on the lives and civilization of humans. Among all countries, the ones which are placed in draught belt, like our country Iran, have hurt a lot because of low precipitations and also mismanagements in water resources control. Climate change show itself by changes in precipitation patterns, reduction of precipitation and increasing of temperature. According to the present data, Iran's central drainage basin which consists of important geopolitical provinces, has been affected by the above mentioned factors. This descriptive-analytic research is carried out based on the effects of climate change on Iran's central basin which provides approximately 48 percent of Iran’s GDP. Continuity of climate changes in this region can make critical problems in social, environmental, economic and political scales and the lives of the citizens would be affected as well. To conclude, the persistence of the current conditions in climate change in the central drainage basin of Iran, would result in challenges through the national stability and security.
Dr. Mostafa Karimi, Mis Fatemeh Sotoudeh, Dr. Somayeh Rafati,
Volume 18, Issue 48 (4-2018)
Abstract
Increasing CO2 emissions and consequently, air temperature causes climate anomalies which affects all the aspects of human life. The purpose of this study was to assess the temperature changes and also to predict the extreme temperatures in Gilan and Mazandaran Provinces. To do this, the SDSM statistical and dynamical model was used. As well, it was applied the Mann-Kendal graphical and statistical technique to analyze the temperature changes and its trend. In this regard, the daily temperature was obtained from Rasht, Ramsar and Babolsar synoptic stations during 1961 – 2010, and also the general circulation models data of HadCM3 and NCEP were collected from related databases. The results revealed a significant positive trend in monthly and annual minimum and maximum temperature in all three stations in the first (1961-2010) and third (1961-2040) periods. There is not a significant trend in extreme temperatures in Ramsar and maximum temperature in Rasht in the second period (2011-2040). The Mann-Kendal graphical test was used for the yearly extreme temperatures in all periods. The results showed that it was occurred both increasing trend and suddenly changes or shifts at the 95% confidence level in all stations. It is occurred the highest of changes in monthly and annual of the minimum temperature at forecasted period (2011-2040). It was predicted extreme temperature to increase about 0.1 to 1.7° C. The short time oscillations and significant positive trend occurred in both the maximum and minimum temperature shows the temperature increase and climate changes in the future. Thus it is obvious the decrease in temperature difference in warm and cold seasons.
Farzad Karimi, Mostafa Ahmadvand, Ali Heidari,
Volume 18, Issue 51 (7-2018)
Abstract
This study aims at identifying optimal method for masuring degree and level of development with resprct to models commonly used (Taxonomy, TOPSIS, Moris, SAW, and VIKOR). It is an applied rsearch in terms of the purpose and also is a quantitative research that was carried out in a survey method. Statistical population of the study was the villages in the county with 20 or more households (89 villages). Accordingly, 566 rural households were determined and selected as a sample using Lin sample size table. To collect the data, a questionnaire was used. For determining the content validity of the questionnaire, a factor analysis and for internal consistency reliability, Cronbach's alpha was used. The Cronbach's alpha coefficient (0.561-0.955) indicated the optimality of the questionnaire. Matlab 7.10, Excel2010, SPSS20, and Arc-GIS Softwares were used for modeling the level of rural development in the county. Findings revealed that there was high significant relationship between the methods with regard to their ranking scores. Findings showed that the VIKOR was a suitable and powerful approach to determine level of rural development in the county. In VIKOR, the range of development degree was very high with compaire to other methods. In VIKOR similar to TOPSIS, negative and positive ideals were considered. VIKOR has a differenc with TOPSIS in considering criteria weight, In VIKOR at first, distance of each criterion from ideal was calculated, then the weights were added them. Therfore, in VIKOR against SAW and TOPSIS has a high sensivity to the weights. Furtermore, findings showed that Sarabtaveh, Deh Bare- Aftab Olia, and Tangary with regard to 51 criteria by 0.635, 0.608, and 0.579 scores, respectively were developing villages and Gavbarg, Cheshmeh Tabarghoo, Tal-Gahi with 0.182, 0.201, and 0.233 scores respectively were non-developed villages. Also, there wasn’t any village in level of completely undeveloped, developed and completely developed. Also, approximately half of villages (46.1 percent) with 21.46 percent of the population of the rural region were undeveloped villages. In addition, 69.35 percent of population in villages of the study was in developing stage.
Mostafa Karimi, Mahnaz Jafari, Faramarz Khosh Akhlgh, Saeed Bazgir,
Volume 18, Issue 51 (7-2018)
Abstract
Spatio-temporal variations of factors affecting the occurrence of precipitation can lead to a change in its amount. The atmospheric moisture is one of the most important factors for precipitation formation. In this study, changes in atmospheric moisture and its relation with occurrence of seasonal wet and dry periods were investigated in Iran. The re-analysis data from the ERA interim European Center for Mid-Term Projections (ECMWF) was used during the period 1981-2011. The z index (ZSI) was used to extract wet and dry periods of autumn, winter and spring seasons. The seasons with the maximum percentage of wetness/drought occurrence during the above periods were selected. Vertical integrated divergence of the moisture flux was extracted in three layers of the lower, middle and upper atmosphere above Iran. The results revealed that in all three layers, moisture flux was maximum during wet period and decreased in dry one. In all layers in wet and dry periods, the moisture content imported to Iran increased during warm season as compared to cold seasons. In addition, the difference in moisture content in the warm season was less than cold seasons and has less variations. There was no significant changes in moisture at high levels in three seasons. In general, there was a significant difference in terms of the winds pattern in the wet and dry periods. The favorable conditions of flow patterns on the water surface of the region provide the condition for increasing transport of moisture to Iran. Although, the moisture transfer reduced due to deviation and change of direction of currents, in dry period especially in the lower layer, and hence increase the occurrence of dry periods in Iran.
Mr Ghorbanali Karimi Dehkordi, Phd Rahmatollah Monshizadeh, Phd Bijan Rahmani,
Volume 20, Issue 56 (3-2020)
Abstract
The rapid expansion of cities and their uneven physical growth, so-called "urban creep", have corrupted the villages and their surrounding lands, causing irregular conversion of agricultural lands and degradation of environmental resources. This situation has also been widespread in Shahrekord, the capital of Chaharmahal and Bakhtiari province. The purpose of this descriptive-survey research is to determine the physical developments of rural settlements around Shahrekord with emphasis on urban sprwal. The statistical population is household heads of rural areas (15000 people). Using the Krejcie and Morgan table, 400 individuals were selected. The tool used is a researcher-made questionnaire on three dimensions of economic, social, cultural and environmental physical consequences. Data were analyzed using one-sample t-test and Friedman test. The results show that the consequences of urban sprawl are respectively environmental-physical consequences (3/98), economic consequences (3/96) and socio-cultural consequences (3/89 (. The most important environmental-physical consequences are increased environmental pollution, destruction of traditional architecture, destruction of biodiversity; major economic consequences of stock markets and rising land and housing prices, diminishing villagers' reluctance to productive activities (agriculture and livestock), capital flight from villages And their savings in the city and the rising cost of living amidst the socio-cultural consequences of luxury and the tendency to consume luxury goods, reduce solidarity and participation, crowding and crowding in cities, modeling of life and urbanization culture. have been.
Leyla Sharifi, Saeed Bazgeer, Hosain Mohmmadi, Alireza Darbaneh Astaneh, Mostafa Karimi Ahmadabad,
Volume 20, Issue 57 (6-2020)
Abstract
In an agricultural system, crop production is related to climatic conditions. Therefore, a deeper understanding of the impact of regional climate change on production ensures global food security. Wheat is one of the most strategic crops and examining different aspects of its production is a necessity of every agricultural community. According to studies, wheat production is affected by various variables including environmental, individual and social, economic and technological. The aim of this study was to estimate the effect of these variables on changes in wheat production in different climates of Fars province. The required data were collected and analyzed through multi-stage random stratified sampling and 522 completed questionnaires through face-to-face interviews with farmers in the province. Farmers' attitudes were measured in the Likert scale and Cobb Douglas, Transcendental and Translog production functions were used to estimate the effect of variables. Results of comparing effective variables in three Cobb-Douglas, Transcendental and Translog functions; demonstrates the superiority of translog. From the perspective of the farmers of the province in the translog function, respectively; Soil moisture at planting time (0.692), effective rainfall during growing season (0.68) and at planting date (0.66), heat wave at harvest time (0.63), damaging rainfall (0.59) , Profit from wheat production (0.51), farmer education (0.49), soil quality (0.49) and cultivation method (0.49) with the coefficient of the mentioned criteria next to them; The most important factors explaining wheat production in Fars province. Independent variables in the translog function explain 92% of the changes in wheat production in Fars province.
Mahmood Samadi, Mahmoud Nooraei, Mohammad Mehdi Mozaffari, Babak Haji Karimi,
Volume 20, Issue 59 (1-2021)
Abstract
The importance of retail in the marketing process has become weaker with the development of shopping centers today, The growth of shopping malls in the metropolitan areas of Iran has been increasing over the past few years and there is no longer competition for retailers. Therefore, surveying the behavior of consumers in their shopping centers is a competitive strategy for the owners of these industries in order to compete with retailers and other shopping centers. The statistical population in this research is Shopping centers of Tehran, Isfahan, Alborz and Mazandaran. The method of selecting shopping centers based on artificial intelligence studies has been done through genetic algorithm. The criteria for choosing the centers are optimal according to the principles of urban management. Using a conceptual model through structural equations of partial least squares, using the Smart PLS software, the statistical population of the study was 384 people. The results showed that the variables of beauty, escape, role play, comfort, brand identity, social responsibility, and impunity affect consumers' behavior in shopping centers, The results of this study have been able to provide a native model with respect to the structures of shopping centers in Iran.
Saeed Mohammadlou, Mohammad Mahdi Mozaffari, Babak Haji Karimi, Kamyar Kavosh,
Volume 21, Issue 62 (10-2021)
Abstract
One of the concepts that is widely considered in all societies today, especially in developed countries, is the electronic city. The e-city is not an invention or an innovative proposal, but a reality that has shown its place based on the needs of today's society. The aim of this study was to analyze the effect of components of business preferences in achieving e-city. This research is applied in terms of purpose and descriptive-analytical method. Data collection tool was a researcher-made questionnaire whose validity was confirmed as qualitative and quantitative validity and its reliability was confirmed using Cronbach's alpha method and combined reliability. In this study, in order to analyze the research data from the software SPSS and Amose were used. Findings of this study showed that the variables of customer knowledge, customer focus, customer lifetime value, value creation, technology, useful interaction and communication quality have a positive and significant effect on the realization of e-city. Among the research variables, the customer-centric variable with a path coefficient of 0.38 had the most impact and the customer knowledge variable with a path coefficient of 0.19 had the least impact.
D.r Badil Sancholi, Maryam Karimian Bostani, D.r Masoumeh Hafez Rezazadeh,
Volume 22, Issue 64 (4-2022)
Abstract
The establishment of new cities and settlements and the development of economic and industrial activities on the shores of Makran, is inevitable, and since the creation and development of new cities has been one of the policies in land management in recent decades, planning and designing a new city in Regional development orientation of this region is essential. Therefore, in this regard, the purpose of the present study is the analysis of planning approaches and design of the new city of Tis in order to develop the region of Makran beaches. The present study is applied in terms of nature and descriptive-analytical in terms of method. Theoretical studies were collected using documentary method, and research data and information were collected using interviews and questionnaires. The statistical population of the study includes specialists, administrators, university professors and experts. Using purposive sampling method, 183 experts were determined as the sample size. To analyze the variables and approaches of the research, first using the method of interviews and interactive discussions with experts and specialists as a statistical sample of the research, each of the planning approaches of new cities was examined. Also, descriptive tests, Spearman correlation test and hierarchical analysis model were used to analyze the data. The results showed that the exit of the region from deprivation and vulnerability, creating a scientific and educational hub in the region, and designing a new and smart city to create a sustainable city have been the most important approaches explaining the planning and design of the new city. Also, there is a significant and positive relationship between planning approaches and design of the new city of Tis and the development of Makran beaches, and among these, the investment variable in Makran beaches has the highest relationship with regional development in the study area
Sara Dodange, Babak Hajikarimi, Mohammad Mehdi Mozafri, Kamiar Kavosh,
Volume 22, Issue 65 (6-2022)
Abstract
The purpose of present study was to investigate the effect of social responsibility on emotional and behavioral responses of tourists after failure of services in four-star and five-star hotels. The research method is practical obgectively and descriptive and analytical methodology. The statistical population of the study was contained tourists who visited four-star and five-star hotels, and the sample size was estimated 384 people by the Cochran formula, sampling method was simple random. The data gathering tool was the questionnaire whose validity and reliability were confirmed. For investigating and testing of the research hypotheses was used structural equation modeling in the software environment, pls. The results of the research indicated that social responsibility has a positive and significant effect on loyalty, satisfaction and trust of tourists. In addition, findings showed that the satisfaction and trust of tourists have a positive and significant effect on their loyalty.
Ms Zienab Hosinpoor, Dr. Aliakbar Shamsipour, Dr. Mostafa Karimi, Dr. Faramarz Khoshakhlagh,
Volume 23, Issue 68 (4-2023)
Abstract
Heat waves are important phenomena in Iran, And its upsurge in recent years seems to have a high upside trend.This climate has a negative impact on agriculture, forest fire and forestry, water resources, energy use and human health.The purpose of the research is to explain the frequency, time distribution, continuity of thermal waves, and the identification of its occurrence in the southern foothills of central Alborz.Therefore, using the statistical methods and maximum daily temperature data of Tehran (Mehrabad), Qazvin and Semnan stations for the statistical period of 30 years (1966-2016), the mentioned characteristics were extracted.In the first step, the nonparametric method of Kendal was used to understand the variability and awareness of the monthly trend of maximum temperatures in the study period.In order to determine the severity, duration and frequency of heat wave events, the percentiles (95.98) and normalized temperature deviation (NTD) were used.The results of the study showed that the frequency of short-wave heat waves was higher.Most frequencies are related to 2-day waves, respectively, and Tehran (Mehrabad), Semnan and Qazvin stations are more frequent.The highest frequency of annual events was detected at stations in Tehran (11 waves in 2010), in Semnan (9 waves in 2015) and Qazvin (7 waves in 2015), respectively.The highest frequency of monthly heat wave events was recorded in June and September.The highest continuation (15 days) was obtained in March 2008 with the percentile method at Mehrabad station.In the normalized deviation method, the temperature was calculated as a warm wave (12 days) in 2008.The highest annual frequency of heat loss occurred in all three stations in 2015.The evolution of the process indicated an increase in the incidence of thermal waves in the cold period of the year But in other chapters, no meaningful changes were made.As it says, the decline in cold winter temperatures is on the southern slopes of Alborz.The results of the two methods showed that in the normalized deviation of the temperature, the number of thermal waves more than the percentile method was recorded, but in the percentile method, the thermal wave was more prominent in the cold period of the year.
Dr Sajedeh Karimi,
Volume 23, Issue 69 (7-2023)
Abstract
Many efforts have been made to address the negative effects of sprawling urban expansion, which can be referred to as "smart growth" as a strategy for urban sustainability. The purpose of this study was to evaluate the impact of smart city growth on economic and social parameters in Isfahan. The present study is descriptive-analytical in terms of the type of research and is applied-developmental in terms of purpose. The statistical population of the study consisted of the population of Isfahan city in the Census of 2016 (5120850). The research tool was a researcher-made questionnaire (Smart City Questionnaire, Economic Questionnaire and Social Questionnaire) with 32 questions. The validity of the questionnaire was formal, which was confirmed by experts and professors, and its reliability by Cronbach's alpha was 0.84. Data analysis, based on structural equation analysis, was performed in AMOS software. The results indicate that urban smart growth in Isfahan is influenced by social and economic variables, among which the role of economic variables in urban smart growth have more influence than social variables, which impact factor of economic variable role. It was 0.71, while the social variable had an impact factor of 0.38.
