The Journal of Town and Country Planning (JTCP) is a scientific and research journal promoting the study of, and interest in, territorial planning. Articles are welcome on research, practice, experience, current issues and debates.
The JTCP encourages submissions that reflect the broad and interdisciplinary nature of the subject and articles that integrate several disciplines such as regional planning, urbanization, geography, geomorphology, economics, demography and environment, with social, contextual and spatial issues.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge
The research seeks to analyze and evaluate one of the most important factors affecting the livabi... more The research seeks to analyze and evaluate one of the most important factors affecting the livability of cities (air pollution) in Arak metropolis. The required data and information have been collected by studying documents, referring to organizations, and in the form of a survey (questionnaire). The statistical population of the research of Arak city and the statistical sample are 384 citizens of the neighborhoods of Arak city. GIS tool and Geographically Weighted Regression (GWR) are used to analyze the data. The results show that the indicators of livability in Arak are not favorable. On the other hand, the condition of indicators of Air pollution are unfavorable conditions due to the presence of large factories and companies (petrochemical, Hepco, Iralco, etc.), heavy traffic, and the old fabric of the city in some areas. As the results of the spatial analysis of the GWR model show according to the R2 statistic above 50%, the livability of Arak city in economic, physical, and environmental dimensions is affected by the state of air pollution indicators such as (PM2.5, PM10, SO2, CO2). The eastern, southern, and southwestern neighborhoods of Arak are more affected by this issue. Only the social index with R2=48 and almost average has a lower effectiveness (50%) than other Indicators. Also, the results of spatial analysis show the state of urban livability approaches the desired state by distancing urban neighborhoods from polluting sources.
Article type: Research Article Considering the importance of small businesses in the country's ec... more Article type: Research Article Considering the importance of small businesses in the country's economy, clusters can provide a suitable platform for the sustainability of tourism destinations due to their many relative and competitive advantages. Therefore, the current research aims to explain the spatial clustering of small businesses in tourist villages. This research has been done in a descriptive survey method, which is based on a survey of experts and stakeholders. The statistical population of the study (including 128 villages with 189 ecotourism Ecolodges in the 9th Territorial Region (North, Razavi, and South Khorasan). According to the personal estimation method, 20% of the volume of the statistical population was used as a basis, which finally determined the number of 26 villages. Data analysis was done using GIS software. The results of the multi-criteria analysis technique showed that the villages of Namagh, Mazinan, Zaferanieh, Arzeneh, and Karimo have stronger potential than the other villages studied, and the results of the Gutman model showed that the villages of Kang, Zafaranieh, Khorashad, Firouze, and Ruyin have They are at a high level in terms of wealth compared to other studied villages. Also, the characteristics of small rural business clusters were examined and the results showed that small rural tourism businesses in the region do not have geographical and sectoral concentration, in terms of internal and external linkages, horizontal communication and the vertical between rural small businesses and other businesses has been excellent in most cases and poor in some cases.
Article type: Research Article Urban recreation, as a comprehensive approach, includes all stakeh... more Article type: Research Article Urban recreation, as a comprehensive approach, includes all stakeholders and influential factors in tourism, the purpose of this research is to evaluate and identify the effective drivers of recreation on urban tourism in the city of Ilam with an approach in terms of practical purpose and terms of method. Descriptive-analytical research is based on library and field studies. To identify the conceptual indicators explaining the main drivers of urban recreation and tourism, a targeted Delphi method was used. The sample size is experts and specialists related to the research topic (30 people). The current research has analyzed the recreation and tourism components of Ilam City using the cross-effects analysis technique and the Micmac program. The path analysis test using the Smart PlS structural equation model was used to analyze the data. The findings from the prioritization results showed the effective dimensions in the recreation of tourism in Ilam City; The physical dimension(4.354) ranks first, the socio-cultural dimension(2.607) ranks second, the environmental dimension(2.545) and the economic dimension (2.464) rank next. Finally, according to the results related to the analysis of cross effects in identifying the effective drivers of recreation on the future of tourism in Ilam City, 6 key factors (social relations, performance, welfare facilities and services, infrastructures and facilities, economic and vitality)were identified; What comes out of this research shows the strong effect of recreation on the realization of successful tourism in this city. Considering the intermingling of components and indicators of the concept of urban recreation, its role in various aspects of urban tourism and its future in Ilam City is undeniable.
Article type: Research Article Housing prices are one of the indicators that identify the factors... more Article type: Research Article Housing prices are one of the indicators that identify the factors affecting it and could help to increase the efficiency of plans and to present housing planning strategies and policies. Despite many exchange rate fluctuations in recent years, there is a need to create a model that pays attention to the economic factors affecting housing prices in addition to the ordinary housing features. Since the housing price modeling is one of the issues that has a spatial component, therefore, in presenting the model related to housing prices, its location should also be considered. Therefore, in this study, the analysis of the spatial distribution of housing prices in district 5 of Tehran municipality and the factors affecting that have been investigated. In this regard, housing sales data in this region in 2018, 2019, and 2020 have been used to model housing prices. The research results have been obtained by the Multiscale Geographically Weighted Regression (MGWR) method, which provided better results compared to those by both the Geographically Weighted Regression (GWR) and Ordinary Least Squares (OLS) methods. The adjusted coefficient of determination in OLS, GWR, and MGWR algorithms was obtained equal to 0.762, 0.821, and 0.853, respectively. The MGWR method is one of the methods that can model the spatial heterogeneity of housing price data. According to the results, the exchange rate variable (dollar price) has the greatest impact on housing price modeling.
Article type: Research Article One of the challenges of the space governance system in Iran is th... more Article type: Research Article One of the challenges of the space governance system in Iran is the confusion in the organizational culture of guiding in the areas of decision-making and decision-making. This confusion has always shown itself in the emergence of political planning and physical-spatial divisions in the field of spatial planning of the country. To explain the need for a paradigm shift in the culture of guiding Iran's spatial governance system, this research has tried to apply an exploratory approach and a mixed method in the form of a semi-structured interview. In the form of a targeted Delphi method, to identify and propose leadership models for Iran's spatial governance system at three local, regional, and national levels. The obtained results show that the spatial governance system in Iran requires a transition to strategic leadership in the decisionmaking system to change the paradigm in the guiding culture at the national level. At the regional level, the charismatic leadership model and, at the local level, the transformational leadership model are the proposed models for changing the guiding culture of the aforementioned levels in Iran's spatial governance system. This research shows the importance of transformation in the guiding culture of the space governance system in Iran as one of the most important solutions in achieving integration and understanding the importance of overcoming functional, political-planning and physical-spatial divisions in the process of moving towards sustainable spatial planning.
In recent years, different foresight programs have frustrated urban and regional planning with en... more In recent years, different foresight programs have frustrated urban and regional planning with environmental forecasting methods and have been driven to use the tools of building a favorable future. On the other hand, in today's world where the notion of sustainability has become a necessity in urban and regional planning, the trend towards sustainable and balanced spatial development has become increasingly important around the world. One of the major challenges is considered in regional planning and policymaking. The present study considers identifying and extracting the key factors affecting the spatial development of Mazandaran province by using the structural analysis process in scenario planning. In the first step, 35 factors were identified as a set of factors affecting the spatial development of this province, based on recognizing the current situation of the province and reviewing related theoretical and experimental texts, existing documents, and programs. Then, the cross-impact analysis matrix was formed, and to identify and determine the relationships between these factors, the expert panel method was used with the presence of 10 experts who scored each of these factors. In the next step, the consensus of the experts' opinions was calculated using the weighted average method, and its implementation was carried out in the MIC MAC software. Finally, 16 factors were extracted as key factors affecting the spatial development of Mazandaran province in the year of the horizon, 12 factors were in the economic sector, 9 factors were in the socio-demographic, 11 factors were in the environmental and 3 factors were in the physical-spatial, and they will form the foundation of planning for the future of a sustainable space in this province.
Hospitals are among the most essential human services whose role in the health of the citizens is... more Hospitals are among the most essential human services whose role in the health of the citizens is very important. One of the important issues related to hospitals in developed cities is determining the optimal location for their construction. In this study, in order to select the optimal hospital location, a combination of expert opinions, GIS, and MCDM was used. For this purpose, 12 criteria were selected for the spatial modeling of the potential areas of hospital establishment, and then the weight of each criterion was calculated using the weighting method of Analytic Network Process (ANP). Then, a map of the potential areas for the hospital establishment was prepared and 11 sites in the potential areas were selected. In the next step, the weight of each criterion was determined again using Criteria Importance Through Intercriteria Correlation (CRITIC) method. Then, by the integration of two weighting methods, i.e., ANP and CRITIC, with two MCDM methods, i.e., EDAS and VIKOR, these sites were ranked. The results of spatial modeling showed that the western half of the district is more suitable for the construction of a new hospital than the other areas. According to the results of the ANP, the distance from hospitals, and according to the results of the CRITIC, the seismic vulnerability were the most important criterions in determining the optimal hospital location. Based on the ranking results coming from CRITIC-EDAS, CRITIC-VIKOR, and ANP-EDAS, the site No. 1, and according to the ranking results of the ANP-VIKOR, the site No. 8 have been the most suitable places for the construction of a new hospital. In the light of the results of the site evaluations by experts, CRITIC-EDAS and CRITIC-VIKOR methods are more accurate for hospital location selection.
The land-use changes and urban development are among the fundamental topics of spatial planning. ... more The land-use changes and urban development are among the fundamental topics of spatial planning. Monitoring changes in previous years and predicting these changes in the coming years have a significant role in planning and organizing urban spaces. The purpose of this study was to investigate land-use change and urban development in Ahvaz with a landscaping approach based on balanced urban development. .Images of TM (1989), ETM+ (2002), and OLI (2019) of the Landsat satellite are the basis for analyzing this trend. LCM model was used to identify the past changes, while CA-Markov chain model was applied to predict the future changes. These images were classified using a support vector machine algorithm of the object-oriented method, and the land-use maps were prepared using three sensors with four classes of vegetation, barren areas, constructed areas, and water zones. The accuracy of maps was improved separately using NDVI and SAVI indexes in the classification of the images. The efficiency of the indexes was measure by kappa coefficients and the overall accuracy of land-use maps, and then changes were investigated using maps related to the superior index. The results showed that maps related to the SAVI index were more accurate and accordingly, they were used in assessing land-use changes. The LCM model showed that in the periods 1989-2002 and 2002-2019, 2602.92 hectares and 31174.77 hectares were added to the built areas, respectively. In both periods, the most changes were about converting barren lands to built-up areas and the least changes were related to the transformation of the built-up areas to water areas. The results of the CA-Markov model until 2029 showed the continuity of the increasing trend of built-up areas, such that in ten years, 2238.82 hectares will be added to the built-up areas, and it is anticipated that the area will reach approximately 12345.63 hectares by 2029.
Investigating the changes in groundwater aquifers in planning the sustainable management of water... more Investigating the changes in groundwater aquifers in planning the sustainable management of water resources in each region is of particular importance. Therefore, reducing the level of groundwater aquifer changes requires proper management and planning to exploit water resources. In this study, the level of groundwater aquifer changes in Urmia Lake basin was examined for the period from 2002 to 2017 using GRACE satellite data (JPL, GFZ, CSR triple bands, CRI Filtered model, time and space filter, and Lew-Thiknth uncertainty dry product) in the Google Earth Engine. The results of the triple bands showed that the JPL band estimated the average level of groundwater aquifer changes on May 1, 2004 as 14.947 cm, while the GFZ band on estimated this as-30.558 cm on September 1, 2015 and the CSR band estimated this amount as-28.206 cm. Therefore, CRI Filtered model can very accurately identify the boundary between land and water zones. The results showed that this model estimated the maximum thickness of liquid water in the groundwater aquifer at March 31, 2002 as about 11.599 cm and its uncertainty at about 9.767 cm. It can be said that the least amount of thickness of liquid water is estimated on 13 August 2015 as 12.309 cm with an uncertainty level of 10.759 cm. According to the results, the level of groundwater change in aquifers in terms of liquid water thickness parameter (Lew-Thiknth) in the northern parts of the Urmia Lake basin and in terms of uncertainty in the northeastern part of the Urmia Lake basin is experiencing a strong decline in the aquifer water levels.
The goals of the present study were to analyze changes in land cover and to estimate a future sce... more The goals of the present study were to analyze changes in land cover and to estimate a future scenario for 2028 using an artificial neural network in the Karaj Metropolis. To this end, the effects of land use changes in response to urban expansion on landscape patterns were investigated in three baseline, current, and future scenarios using landscape metrics and gradient analysis. The results showed that during a 22-year period, the agricultural and Garden lands have been severely damaged due to urban expansion. The results of the evaluation of changes in landscape also indicate that urban expansion in in development in the north-south transect to the margins (especially northward) and the east-west transect with a gentle slope to the west of the region. It is also anticipated that in the future scenario, if the current trend continues, the northern margin of Karaj metropolis will be changed from natural environment to a completely human-made one. Therefore, considering the results of the Pd and Ed metrics in both transects over the three examined years, it can be said that the area has expanded to the margin and there has not been much changes in the landscape of downtown. In addition, the decrease in the Pd and NP in all three scenarios indicates the consistency of urban landscape. In general, population growth and urban development have made the landscape pattern in Karaj metropolis to be a more regular and less varied one. The results indicate that spatial heterogeneity has altered the landscape patterns. Therefore, the growth of construction land in some areas should be restricted, and balanced development should be adopted to prevent the fragmentation of the landscape.
The assessment of the ecological potential of the environment is to determine and measure the pot... more The assessment of the ecological potential of the environment is to determine and measure the potential power and the natural use type of the land. Therefore, the environment power assessment is a tool for the management of geographical space and strategic planning for sustainable development and correct use of land sources. The aim of this study was to evaluate the ecological potential of agricultural and rangeland use in Kangavar city with an area of 883.9 km 2 using Makhdoom ecological model. To this end, the required data and ecological resources were collected and generated. After creating and combining the maps in the ArcGIS system in a multi-hybrid way, the maps of environmental units were constructed and the ecological potential of the area was evaluated using the features of each environmental unit. To do this, the indicators and variables that could be involved in each of these models were examined. To classify the ecological potential of the area for agricultural and rangeland uses and to produce the map of different classes potential, 15 parameters were used as criteria for weighting and measuring the power. The results of Kangavar city ecological potential assessment led to the extraction of 58 environmental units in 7 classes with completely suitable, suitable, weak, and unsuitable power classes for agricultural and rangeland use. An area of about 356.79 Km 2 was found to have suitable and completely suitable power for agricultural use. In addition, it was estimated that an area of about 72.23 Km 2 would be appropriate for rangeland and rainfed agricultural use with suitable power. An area of about 483.26 Km 2 of Kangavar city is currently allocated to agricultural use, while the optimal area for this means is 356.79 Km 2. Thus, the land use of an area of about 126.47 Km 2 has been converted to agricultural purposes. According to the results, the lands of the region have been exploited more than their potential for agricultural use (irrigated and rainfed) and the lands with rangeland use have been changed to agricultural use.
Demographic changes in recent decades have led to rapid changes in Iran's urban system and its hi... more Demographic changes in recent decades have led to rapid changes in Iran's urban system and its hierarchy, with one of its consequences being the increase or decrease in the ranking of cities in this system. The present study examines the position of Tabriz metropolis in the urban system of Iran from 1335 to 1395, and by forecasting the population of this metropolis by 2031, it tries to determine the future position of this city in the urban system of Iran. This study is practical in terms of purpose and descriptive-analytical in terms of nature and research method. The data in the present study were obtained through document analysis and field study (questionnaire and interview). Interviews were used to understand the causes of emigration and a questionnaire was used to understand the causes of fertility decline in Tabriz metropolis. The sample sizes for both instruments were determined based on the saturation principle. The exponential model, Spectrum software, and rank mobility index were used to predict the demographic factors, population forecast, and the study of metropolitan rank changes in the urban system, respectively. The obtained results showed that the decrease in fertility rate and migration are the main reasons for the sharp decline in population growth in the metropolis of Tabriz, with the economic reasons being the main reason. In addition, assuming the fertility rates of 1.5, 1.8, and 2.1 in Tabriz, we will see 1.64, 1.69, and 1.74 million increases in the population of the city, respectively, as well as a decrease in the population of minors and a doubling of elderly population over 65 by the year 2031. The results of population forecast show that the position of Tabriz metropolis will be stabilized as the sixth largest city of Iran's urban system by 2031, but its distance from the seventh metropolis (Qom) will be less, which requires special attention and proper management to prevent its rank from falling again.
The number and population of metropolitan areas have increased significantly during the last cent... more The number and population of metropolitan areas have increased significantly during the last century, and in line with the increase in population, improved communications, global trends, and other significant factors, there have been many changes in the spatial development of these areas. These changes are observed in metropolitan areas of Iran during the same period, but there have been a few studies on the changes of these areas in Iran. In this study, the urban land density (U.L.D) function was used to investigate the spatial development trend in Shiraz metropolitan area from 1996-2016. The results show that the Shiraz metropolitan area has experienced a decentralized and scattered spatial form from 1996 to 2016. The pattern of changes in the region's spatial development during the years 1996-2006 and 2006-2016 shows that spatial development has become more decentralized and scattered. According to demographic analysis, the highest population density in 2006, 2011, and 2016 can be seen in the central buffer zone of Shiraz metropolis. Based on directional distribution (standard distance), the population distribution has moved to the northwest of the region. In addition, when analyzing the population distribution pattern, the Moran statistics shows that the region population is distributed in clusters. In general, the decentralized and dispersed spatial form and the formation of population clusters in the region's development process show an imbalance in the region's spatial and demographic development. Some of the significant effects of this phenomenon are urban fragmentation, social segregation, car dependency, and the destruction of agricultural lands and gardens.
The topic of climate change and the dangers that lie ahead is part of the debate in land manageme... more The topic of climate change and the dangers that lie ahead is part of the debate in land management. The dynamics of global change and the sovereign approach of global governments have opened new perspectives on land management issues. One of the hidden challenges in this regard is the increasing risk of the occurrence of floods. The purpose of this study was to undertake metric or measurement model as a spatial basis unit to predict flood occurrence. In the present article, in line with using MikeUrban 2019 software, a wide range of tools and quantitative processing steps were used in accordance with the research objectives. In order to predict floods, the past incident factors were studied, namely a review of the principles and operational indicators related to each parcel using the OLI sensor images of Landsat 8 satellite in the year 2020 through the integrated interpretation method and an examination of the basic map of Ilam city in wet seasons (autumn, winter, and spring). Then, the city coverage map was prepared in two uses, i.e., False Color (Urban) and Land / Water. Next, Google Earth images were used to determine the accuracy and precision of the coverage maps. By combining four selected measures with the highest spatial correlation in 50 random points of the city, hexagonal measures with optimal areas were selected and spatial patterns were analyzed. According to the results, in the actual event (1), eight spatial measures with an area of 68 hectares and coverage of 1.5% of the entire city are at risk of flood. In events 0.8 and 0.9, 19 measures with an area of 170 hectares, 3.6% of the land use coverage of the area, are at potential risk. While there is a high correlation between flood event and type of measure, amount and direction of slope, as well as density and width of road network on one side and drainage network on the other side, in high events (1-8), 28 measures in the residential uses in the detailed design scale with an area of 76.5 hectares, barren and enclosed uses with an area of 70.55 hectares, roads network with an area of 29.75 hectares, and parks and green spaces with 17 hectares were identified as the uses targeted by the flood danger. Among all risky user groups, 29.5% were identified in the newly built group, 44.5% in the maintainable group, and 18% in the decayed urban environment group.
Land use in Shahre Rey has experienced unprecedented growth in urban areas in recent decades. Lan... more Land use in Shahre Rey has experienced unprecedented growth in urban areas in recent decades. Land use changes affect social, economic, and environmental conditions. Gathering information about these changes is essential for better planning and management of urban areas in sustainable development. Consequently, the object of this paper is to better examine the Shahre Rey land use changes affected by urban development and to investigate urban landscape integrity using the 1988-2018 "Fragmentation" index. Moreover, it was intended to provide solutions for the determination of hot spots based on appropriate criteria. With the help of Landsat satellite images, four land usesincluding urban landscapes, agricultural lands, green spaces, and barren landswere extracted and the extent of land use changes was determined. In order to investigate the fragmentation of Shahre Rey landscape, the metrics of the number of patches, patch density, and the largest patch were used. Cross-Tab was also used in a part of the study. The results showed that the land use areas of urban lands and urban green space had increased by 369.7 and 55.6 hectares, respectively, while agricultural lands and barren lands had decreased by 213.8 and 211.5 hectares, respectively. In urban land use, integration had increased. In the green space and agriculture land uses, fragmentation has increased due to the creation and construction of roads. Based on the criteria of "position relative to borders and roads as well as the area and size of patches,'' solutions were made to determine the "hot spots" of vegetation and residential areas to help making plans for the improvement of their conditions. The reason is that land use change, especially the loss of vegetation, has a negative impact on the landscape.
Today, ecotourism is deemed a key industry and is granted a special position in the economic deve... more Today, ecotourism is deemed a key industry and is granted a special position in the economic development of different countries. This industry has always faced risks in making decisions about selecting places with high ecotourism potential. Therefore, the purpose of this study was the assessment of ecotourism development capability in rural areas, with an emphasis on the environmental risk-taking in decision-making. In this study, 12 spatial criteria were used. Ordered weighted average (OWL), analytic network process (ANP), TOPSIS, and sensitivity analysis were used to assess the concept of decision-making risk, calculate the weight and importance of the criteria, rate the appropriate villages, and assess the modeling precision, respectively. The results showed that among the used criteria, the distance from the built lands and the distance from faults have the highest and lowest weight, respectively. With the increase and decrease in the risk-taking degree, the high potential class space increases and decreases, respectively, such that in the risktaking degree of 0 or less, less than one percent and in the risk-taking degree of 1, thirty-five percent of all lands of the area fall in the "very high potential" class. The examination of the appropriate villages in the 0.5 risk-taking degree for ecotourism development showed that among all Mazandaran province villages, only 55 villages are in the "very high potential" class. Among these, Aali Kola with the relative distance of 0.8505 is the most capable village for ecotourism development. Finally, the results of sensitivity analysis revealed the adequate stability of the model results in various scenarios, i.e., the high reliability of the model results.
The intelligent managers of this era of constant changes and instability try to know opportunitie... more The intelligent managers of this era of constant changes and instability try to know opportunities, challenges, and variables effective on the system under their management so as to increase the possibility of their success. The managers of Yazd provinceas one of the developed provinces of Iranalways try to step in the direction of sustainable growth and development by means of strategic planning, knowledge about the capacities of this province, and the management of the possible future challenges. The study at hand was carried out to attain this objective and to get a clearer image of the future of this province in order to identify the variables that are affective on the future of Yazd province. Moreover, conducting structural analysis through MICMAC method, it was tried to investigate the mutual effects of these variables on each other and identify the key drivers of what might form the future of this province. The important variables effective on the system were identified using library research, virtual space monitoring, surveying citizens, and future-related workshops. Variables were prioritized using importance and lack of certainty criteria. Then, the most important ones were fed into the direct effects matrix, and after completion with Delphi method, they were fed into MICMAC software. The outcome of the software was compared with the results of Dimtel method, and finally, the variables of the performance of organizations, balanced development, performance of land use plan, various types of tourism, and attention to water and environment were identified as the most effective variables in the formation of the future of the province.
One of the environmental hazards and ecological crises that our world is facing now is the phenom... more One of the environmental hazards and ecological crises that our world is facing now is the phenomenon of land use change. The timely and accurate detection of these changes and land features has an essential role in better understanding the relationships and interactions between human and natural phenomena in order to better manage and use natural resources using theoretical-analytical method. The present study examined and analyzed metrics related to a period of over 30 years. Sorkhabad Protected Area was selected as the target area. The TM-ETM_OLI image series of Landsat satellite in two periods were exploited to investigate the trend of changes using Envi software and the maximum probability classification method with 86% accuracy of information. Then, the available metrics in Fragstate software were used to process the data at three levels, namely patch, class, and landscape. Along with analyzing and evaluating these three levels, the changes in vegetation and animal distribution changes mapprepared by the Zanjan Environmental Research Center foresters in order to map the distribution of native animals of the provincewas also examined. The results showed that the conversion of pasturelands into agricultural lands has caused the loss of soil and vegetation and has negatively affected the habitat and population of caracal and deer species that are dependent on these environments. Moreover, overgrazing and deforestation have reduced the growth of forestlands; this has led to the destruction of the habitat of leopard and brown bear, and these changes have also contributed to habitat destruction.
Various spatial instances and outcomes can be shown for every social phenomenon in the urban aren... more Various spatial instances and outcomes can be shown for every social phenomenon in the urban arena, and this indicates the spatial behavior of social phenomena. The examination of suchlike phenomena from the viewpoint of correlation and synergy reveals the existence of an interactional pattern among them. In this article, it is tried to provide a brief description of the spatial distribution of variables related to social harms such as joblessness, addiction, etc., in the form of spatial statistical analysis. The research method is descriptive-analytical, and it can be categorized as an applied study. In terms of data collection method, the study adopted library research. In order to analyze the data, we used spatial statistics tests in ARC GIS. In the light of the spatial structure of the social class and the spatial pattern of the variance of the rich and poor areas of Tehran, it was found that poverty and dispersion are among the main stimuli of the concentration of various social harms in poor neighborhoods.
The research seeks to analyze and evaluate one of the most important factors affecting the livabi... more The research seeks to analyze and evaluate one of the most important factors affecting the livability of cities (air pollution) in Arak metropolis. The required data and information have been collected by studying documents, referring to organizations, and in the form of a survey (questionnaire). The statistical population of the research of Arak city and the statistical sample are 384 citizens of the neighborhoods of Arak city. GIS tool and Geographically Weighted Regression (GWR) are used to analyze the data. The results show that the indicators of livability in Arak are not favorable. On the other hand, the condition of indicators of Air pollution are unfavorable conditions due to the presence of large factories and companies (petrochemical, Hepco, Iralco, etc.), heavy traffic, and the old fabric of the city in some areas. As the results of the spatial analysis of the GWR model show according to the R2 statistic above 50%, the livability of Arak city in economic, physical, and environmental dimensions is affected by the state of air pollution indicators such as (PM2.5, PM10, SO2, CO2). The eastern, southern, and southwestern neighborhoods of Arak are more affected by this issue. Only the social index with R2=48 and almost average has a lower effectiveness (50%) than other Indicators. Also, the results of spatial analysis show the state of urban livability approaches the desired state by distancing urban neighborhoods from polluting sources.
Article type: Research Article Considering the importance of small businesses in the country's ec... more Article type: Research Article Considering the importance of small businesses in the country's economy, clusters can provide a suitable platform for the sustainability of tourism destinations due to their many relative and competitive advantages. Therefore, the current research aims to explain the spatial clustering of small businesses in tourist villages. This research has been done in a descriptive survey method, which is based on a survey of experts and stakeholders. The statistical population of the study (including 128 villages with 189 ecotourism Ecolodges in the 9th Territorial Region (North, Razavi, and South Khorasan). According to the personal estimation method, 20% of the volume of the statistical population was used as a basis, which finally determined the number of 26 villages. Data analysis was done using GIS software. The results of the multi-criteria analysis technique showed that the villages of Namagh, Mazinan, Zaferanieh, Arzeneh, and Karimo have stronger potential than the other villages studied, and the results of the Gutman model showed that the villages of Kang, Zafaranieh, Khorashad, Firouze, and Ruyin have They are at a high level in terms of wealth compared to other studied villages. Also, the characteristics of small rural business clusters were examined and the results showed that small rural tourism businesses in the region do not have geographical and sectoral concentration, in terms of internal and external linkages, horizontal communication and the vertical between rural small businesses and other businesses has been excellent in most cases and poor in some cases.
Article type: Research Article Urban recreation, as a comprehensive approach, includes all stakeh... more Article type: Research Article Urban recreation, as a comprehensive approach, includes all stakeholders and influential factors in tourism, the purpose of this research is to evaluate and identify the effective drivers of recreation on urban tourism in the city of Ilam with an approach in terms of practical purpose and terms of method. Descriptive-analytical research is based on library and field studies. To identify the conceptual indicators explaining the main drivers of urban recreation and tourism, a targeted Delphi method was used. The sample size is experts and specialists related to the research topic (30 people). The current research has analyzed the recreation and tourism components of Ilam City using the cross-effects analysis technique and the Micmac program. The path analysis test using the Smart PlS structural equation model was used to analyze the data. The findings from the prioritization results showed the effective dimensions in the recreation of tourism in Ilam City; The physical dimension(4.354) ranks first, the socio-cultural dimension(2.607) ranks second, the environmental dimension(2.545) and the economic dimension (2.464) rank next. Finally, according to the results related to the analysis of cross effects in identifying the effective drivers of recreation on the future of tourism in Ilam City, 6 key factors (social relations, performance, welfare facilities and services, infrastructures and facilities, economic and vitality)were identified; What comes out of this research shows the strong effect of recreation on the realization of successful tourism in this city. Considering the intermingling of components and indicators of the concept of urban recreation, its role in various aspects of urban tourism and its future in Ilam City is undeniable.
Article type: Research Article Housing prices are one of the indicators that identify the factors... more Article type: Research Article Housing prices are one of the indicators that identify the factors affecting it and could help to increase the efficiency of plans and to present housing planning strategies and policies. Despite many exchange rate fluctuations in recent years, there is a need to create a model that pays attention to the economic factors affecting housing prices in addition to the ordinary housing features. Since the housing price modeling is one of the issues that has a spatial component, therefore, in presenting the model related to housing prices, its location should also be considered. Therefore, in this study, the analysis of the spatial distribution of housing prices in district 5 of Tehran municipality and the factors affecting that have been investigated. In this regard, housing sales data in this region in 2018, 2019, and 2020 have been used to model housing prices. The research results have been obtained by the Multiscale Geographically Weighted Regression (MGWR) method, which provided better results compared to those by both the Geographically Weighted Regression (GWR) and Ordinary Least Squares (OLS) methods. The adjusted coefficient of determination in OLS, GWR, and MGWR algorithms was obtained equal to 0.762, 0.821, and 0.853, respectively. The MGWR method is one of the methods that can model the spatial heterogeneity of housing price data. According to the results, the exchange rate variable (dollar price) has the greatest impact on housing price modeling.
Article type: Research Article One of the challenges of the space governance system in Iran is th... more Article type: Research Article One of the challenges of the space governance system in Iran is the confusion in the organizational culture of guiding in the areas of decision-making and decision-making. This confusion has always shown itself in the emergence of political planning and physical-spatial divisions in the field of spatial planning of the country. To explain the need for a paradigm shift in the culture of guiding Iran's spatial governance system, this research has tried to apply an exploratory approach and a mixed method in the form of a semi-structured interview. In the form of a targeted Delphi method, to identify and propose leadership models for Iran's spatial governance system at three local, regional, and national levels. The obtained results show that the spatial governance system in Iran requires a transition to strategic leadership in the decisionmaking system to change the paradigm in the guiding culture at the national level. At the regional level, the charismatic leadership model and, at the local level, the transformational leadership model are the proposed models for changing the guiding culture of the aforementioned levels in Iran's spatial governance system. This research shows the importance of transformation in the guiding culture of the space governance system in Iran as one of the most important solutions in achieving integration and understanding the importance of overcoming functional, political-planning and physical-spatial divisions in the process of moving towards sustainable spatial planning.
In recent years, different foresight programs have frustrated urban and regional planning with en... more In recent years, different foresight programs have frustrated urban and regional planning with environmental forecasting methods and have been driven to use the tools of building a favorable future. On the other hand, in today's world where the notion of sustainability has become a necessity in urban and regional planning, the trend towards sustainable and balanced spatial development has become increasingly important around the world. One of the major challenges is considered in regional planning and policymaking. The present study considers identifying and extracting the key factors affecting the spatial development of Mazandaran province by using the structural analysis process in scenario planning. In the first step, 35 factors were identified as a set of factors affecting the spatial development of this province, based on recognizing the current situation of the province and reviewing related theoretical and experimental texts, existing documents, and programs. Then, the cross-impact analysis matrix was formed, and to identify and determine the relationships between these factors, the expert panel method was used with the presence of 10 experts who scored each of these factors. In the next step, the consensus of the experts' opinions was calculated using the weighted average method, and its implementation was carried out in the MIC MAC software. Finally, 16 factors were extracted as key factors affecting the spatial development of Mazandaran province in the year of the horizon, 12 factors were in the economic sector, 9 factors were in the socio-demographic, 11 factors were in the environmental and 3 factors were in the physical-spatial, and they will form the foundation of planning for the future of a sustainable space in this province.
Hospitals are among the most essential human services whose role in the health of the citizens is... more Hospitals are among the most essential human services whose role in the health of the citizens is very important. One of the important issues related to hospitals in developed cities is determining the optimal location for their construction. In this study, in order to select the optimal hospital location, a combination of expert opinions, GIS, and MCDM was used. For this purpose, 12 criteria were selected for the spatial modeling of the potential areas of hospital establishment, and then the weight of each criterion was calculated using the weighting method of Analytic Network Process (ANP). Then, a map of the potential areas for the hospital establishment was prepared and 11 sites in the potential areas were selected. In the next step, the weight of each criterion was determined again using Criteria Importance Through Intercriteria Correlation (CRITIC) method. Then, by the integration of two weighting methods, i.e., ANP and CRITIC, with two MCDM methods, i.e., EDAS and VIKOR, these sites were ranked. The results of spatial modeling showed that the western half of the district is more suitable for the construction of a new hospital than the other areas. According to the results of the ANP, the distance from hospitals, and according to the results of the CRITIC, the seismic vulnerability were the most important criterions in determining the optimal hospital location. Based on the ranking results coming from CRITIC-EDAS, CRITIC-VIKOR, and ANP-EDAS, the site No. 1, and according to the ranking results of the ANP-VIKOR, the site No. 8 have been the most suitable places for the construction of a new hospital. In the light of the results of the site evaluations by experts, CRITIC-EDAS and CRITIC-VIKOR methods are more accurate for hospital location selection.
The land-use changes and urban development are among the fundamental topics of spatial planning. ... more The land-use changes and urban development are among the fundamental topics of spatial planning. Monitoring changes in previous years and predicting these changes in the coming years have a significant role in planning and organizing urban spaces. The purpose of this study was to investigate land-use change and urban development in Ahvaz with a landscaping approach based on balanced urban development. .Images of TM (1989), ETM+ (2002), and OLI (2019) of the Landsat satellite are the basis for analyzing this trend. LCM model was used to identify the past changes, while CA-Markov chain model was applied to predict the future changes. These images were classified using a support vector machine algorithm of the object-oriented method, and the land-use maps were prepared using three sensors with four classes of vegetation, barren areas, constructed areas, and water zones. The accuracy of maps was improved separately using NDVI and SAVI indexes in the classification of the images. The efficiency of the indexes was measure by kappa coefficients and the overall accuracy of land-use maps, and then changes were investigated using maps related to the superior index. The results showed that maps related to the SAVI index were more accurate and accordingly, they were used in assessing land-use changes. The LCM model showed that in the periods 1989-2002 and 2002-2019, 2602.92 hectares and 31174.77 hectares were added to the built areas, respectively. In both periods, the most changes were about converting barren lands to built-up areas and the least changes were related to the transformation of the built-up areas to water areas. The results of the CA-Markov model until 2029 showed the continuity of the increasing trend of built-up areas, such that in ten years, 2238.82 hectares will be added to the built-up areas, and it is anticipated that the area will reach approximately 12345.63 hectares by 2029.
Investigating the changes in groundwater aquifers in planning the sustainable management of water... more Investigating the changes in groundwater aquifers in planning the sustainable management of water resources in each region is of particular importance. Therefore, reducing the level of groundwater aquifer changes requires proper management and planning to exploit water resources. In this study, the level of groundwater aquifer changes in Urmia Lake basin was examined for the period from 2002 to 2017 using GRACE satellite data (JPL, GFZ, CSR triple bands, CRI Filtered model, time and space filter, and Lew-Thiknth uncertainty dry product) in the Google Earth Engine. The results of the triple bands showed that the JPL band estimated the average level of groundwater aquifer changes on May 1, 2004 as 14.947 cm, while the GFZ band on estimated this as-30.558 cm on September 1, 2015 and the CSR band estimated this amount as-28.206 cm. Therefore, CRI Filtered model can very accurately identify the boundary between land and water zones. The results showed that this model estimated the maximum thickness of liquid water in the groundwater aquifer at March 31, 2002 as about 11.599 cm and its uncertainty at about 9.767 cm. It can be said that the least amount of thickness of liquid water is estimated on 13 August 2015 as 12.309 cm with an uncertainty level of 10.759 cm. According to the results, the level of groundwater change in aquifers in terms of liquid water thickness parameter (Lew-Thiknth) in the northern parts of the Urmia Lake basin and in terms of uncertainty in the northeastern part of the Urmia Lake basin is experiencing a strong decline in the aquifer water levels.
The goals of the present study were to analyze changes in land cover and to estimate a future sce... more The goals of the present study were to analyze changes in land cover and to estimate a future scenario for 2028 using an artificial neural network in the Karaj Metropolis. To this end, the effects of land use changes in response to urban expansion on landscape patterns were investigated in three baseline, current, and future scenarios using landscape metrics and gradient analysis. The results showed that during a 22-year period, the agricultural and Garden lands have been severely damaged due to urban expansion. The results of the evaluation of changes in landscape also indicate that urban expansion in in development in the north-south transect to the margins (especially northward) and the east-west transect with a gentle slope to the west of the region. It is also anticipated that in the future scenario, if the current trend continues, the northern margin of Karaj metropolis will be changed from natural environment to a completely human-made one. Therefore, considering the results of the Pd and Ed metrics in both transects over the three examined years, it can be said that the area has expanded to the margin and there has not been much changes in the landscape of downtown. In addition, the decrease in the Pd and NP in all three scenarios indicates the consistency of urban landscape. In general, population growth and urban development have made the landscape pattern in Karaj metropolis to be a more regular and less varied one. The results indicate that spatial heterogeneity has altered the landscape patterns. Therefore, the growth of construction land in some areas should be restricted, and balanced development should be adopted to prevent the fragmentation of the landscape.
The assessment of the ecological potential of the environment is to determine and measure the pot... more The assessment of the ecological potential of the environment is to determine and measure the potential power and the natural use type of the land. Therefore, the environment power assessment is a tool for the management of geographical space and strategic planning for sustainable development and correct use of land sources. The aim of this study was to evaluate the ecological potential of agricultural and rangeland use in Kangavar city with an area of 883.9 km 2 using Makhdoom ecological model. To this end, the required data and ecological resources were collected and generated. After creating and combining the maps in the ArcGIS system in a multi-hybrid way, the maps of environmental units were constructed and the ecological potential of the area was evaluated using the features of each environmental unit. To do this, the indicators and variables that could be involved in each of these models were examined. To classify the ecological potential of the area for agricultural and rangeland uses and to produce the map of different classes potential, 15 parameters were used as criteria for weighting and measuring the power. The results of Kangavar city ecological potential assessment led to the extraction of 58 environmental units in 7 classes with completely suitable, suitable, weak, and unsuitable power classes for agricultural and rangeland use. An area of about 356.79 Km 2 was found to have suitable and completely suitable power for agricultural use. In addition, it was estimated that an area of about 72.23 Km 2 would be appropriate for rangeland and rainfed agricultural use with suitable power. An area of about 483.26 Km 2 of Kangavar city is currently allocated to agricultural use, while the optimal area for this means is 356.79 Km 2. Thus, the land use of an area of about 126.47 Km 2 has been converted to agricultural purposes. According to the results, the lands of the region have been exploited more than their potential for agricultural use (irrigated and rainfed) and the lands with rangeland use have been changed to agricultural use.
Demographic changes in recent decades have led to rapid changes in Iran's urban system and its hi... more Demographic changes in recent decades have led to rapid changes in Iran's urban system and its hierarchy, with one of its consequences being the increase or decrease in the ranking of cities in this system. The present study examines the position of Tabriz metropolis in the urban system of Iran from 1335 to 1395, and by forecasting the population of this metropolis by 2031, it tries to determine the future position of this city in the urban system of Iran. This study is practical in terms of purpose and descriptive-analytical in terms of nature and research method. The data in the present study were obtained through document analysis and field study (questionnaire and interview). Interviews were used to understand the causes of emigration and a questionnaire was used to understand the causes of fertility decline in Tabriz metropolis. The sample sizes for both instruments were determined based on the saturation principle. The exponential model, Spectrum software, and rank mobility index were used to predict the demographic factors, population forecast, and the study of metropolitan rank changes in the urban system, respectively. The obtained results showed that the decrease in fertility rate and migration are the main reasons for the sharp decline in population growth in the metropolis of Tabriz, with the economic reasons being the main reason. In addition, assuming the fertility rates of 1.5, 1.8, and 2.1 in Tabriz, we will see 1.64, 1.69, and 1.74 million increases in the population of the city, respectively, as well as a decrease in the population of minors and a doubling of elderly population over 65 by the year 2031. The results of population forecast show that the position of Tabriz metropolis will be stabilized as the sixth largest city of Iran's urban system by 2031, but its distance from the seventh metropolis (Qom) will be less, which requires special attention and proper management to prevent its rank from falling again.
The number and population of metropolitan areas have increased significantly during the last cent... more The number and population of metropolitan areas have increased significantly during the last century, and in line with the increase in population, improved communications, global trends, and other significant factors, there have been many changes in the spatial development of these areas. These changes are observed in metropolitan areas of Iran during the same period, but there have been a few studies on the changes of these areas in Iran. In this study, the urban land density (U.L.D) function was used to investigate the spatial development trend in Shiraz metropolitan area from 1996-2016. The results show that the Shiraz metropolitan area has experienced a decentralized and scattered spatial form from 1996 to 2016. The pattern of changes in the region's spatial development during the years 1996-2006 and 2006-2016 shows that spatial development has become more decentralized and scattered. According to demographic analysis, the highest population density in 2006, 2011, and 2016 can be seen in the central buffer zone of Shiraz metropolis. Based on directional distribution (standard distance), the population distribution has moved to the northwest of the region. In addition, when analyzing the population distribution pattern, the Moran statistics shows that the region population is distributed in clusters. In general, the decentralized and dispersed spatial form and the formation of population clusters in the region's development process show an imbalance in the region's spatial and demographic development. Some of the significant effects of this phenomenon are urban fragmentation, social segregation, car dependency, and the destruction of agricultural lands and gardens.
The topic of climate change and the dangers that lie ahead is part of the debate in land manageme... more The topic of climate change and the dangers that lie ahead is part of the debate in land management. The dynamics of global change and the sovereign approach of global governments have opened new perspectives on land management issues. One of the hidden challenges in this regard is the increasing risk of the occurrence of floods. The purpose of this study was to undertake metric or measurement model as a spatial basis unit to predict flood occurrence. In the present article, in line with using MikeUrban 2019 software, a wide range of tools and quantitative processing steps were used in accordance with the research objectives. In order to predict floods, the past incident factors were studied, namely a review of the principles and operational indicators related to each parcel using the OLI sensor images of Landsat 8 satellite in the year 2020 through the integrated interpretation method and an examination of the basic map of Ilam city in wet seasons (autumn, winter, and spring). Then, the city coverage map was prepared in two uses, i.e., False Color (Urban) and Land / Water. Next, Google Earth images were used to determine the accuracy and precision of the coverage maps. By combining four selected measures with the highest spatial correlation in 50 random points of the city, hexagonal measures with optimal areas were selected and spatial patterns were analyzed. According to the results, in the actual event (1), eight spatial measures with an area of 68 hectares and coverage of 1.5% of the entire city are at risk of flood. In events 0.8 and 0.9, 19 measures with an area of 170 hectares, 3.6% of the land use coverage of the area, are at potential risk. While there is a high correlation between flood event and type of measure, amount and direction of slope, as well as density and width of road network on one side and drainage network on the other side, in high events (1-8), 28 measures in the residential uses in the detailed design scale with an area of 76.5 hectares, barren and enclosed uses with an area of 70.55 hectares, roads network with an area of 29.75 hectares, and parks and green spaces with 17 hectares were identified as the uses targeted by the flood danger. Among all risky user groups, 29.5% were identified in the newly built group, 44.5% in the maintainable group, and 18% in the decayed urban environment group.
Land use in Shahre Rey has experienced unprecedented growth in urban areas in recent decades. Lan... more Land use in Shahre Rey has experienced unprecedented growth in urban areas in recent decades. Land use changes affect social, economic, and environmental conditions. Gathering information about these changes is essential for better planning and management of urban areas in sustainable development. Consequently, the object of this paper is to better examine the Shahre Rey land use changes affected by urban development and to investigate urban landscape integrity using the 1988-2018 "Fragmentation" index. Moreover, it was intended to provide solutions for the determination of hot spots based on appropriate criteria. With the help of Landsat satellite images, four land usesincluding urban landscapes, agricultural lands, green spaces, and barren landswere extracted and the extent of land use changes was determined. In order to investigate the fragmentation of Shahre Rey landscape, the metrics of the number of patches, patch density, and the largest patch were used. Cross-Tab was also used in a part of the study. The results showed that the land use areas of urban lands and urban green space had increased by 369.7 and 55.6 hectares, respectively, while agricultural lands and barren lands had decreased by 213.8 and 211.5 hectares, respectively. In urban land use, integration had increased. In the green space and agriculture land uses, fragmentation has increased due to the creation and construction of roads. Based on the criteria of "position relative to borders and roads as well as the area and size of patches,'' solutions were made to determine the "hot spots" of vegetation and residential areas to help making plans for the improvement of their conditions. The reason is that land use change, especially the loss of vegetation, has a negative impact on the landscape.
Today, ecotourism is deemed a key industry and is granted a special position in the economic deve... more Today, ecotourism is deemed a key industry and is granted a special position in the economic development of different countries. This industry has always faced risks in making decisions about selecting places with high ecotourism potential. Therefore, the purpose of this study was the assessment of ecotourism development capability in rural areas, with an emphasis on the environmental risk-taking in decision-making. In this study, 12 spatial criteria were used. Ordered weighted average (OWL), analytic network process (ANP), TOPSIS, and sensitivity analysis were used to assess the concept of decision-making risk, calculate the weight and importance of the criteria, rate the appropriate villages, and assess the modeling precision, respectively. The results showed that among the used criteria, the distance from the built lands and the distance from faults have the highest and lowest weight, respectively. With the increase and decrease in the risk-taking degree, the high potential class space increases and decreases, respectively, such that in the risktaking degree of 0 or less, less than one percent and in the risk-taking degree of 1, thirty-five percent of all lands of the area fall in the "very high potential" class. The examination of the appropriate villages in the 0.5 risk-taking degree for ecotourism development showed that among all Mazandaran province villages, only 55 villages are in the "very high potential" class. Among these, Aali Kola with the relative distance of 0.8505 is the most capable village for ecotourism development. Finally, the results of sensitivity analysis revealed the adequate stability of the model results in various scenarios, i.e., the high reliability of the model results.
The intelligent managers of this era of constant changes and instability try to know opportunitie... more The intelligent managers of this era of constant changes and instability try to know opportunities, challenges, and variables effective on the system under their management so as to increase the possibility of their success. The managers of Yazd provinceas one of the developed provinces of Iranalways try to step in the direction of sustainable growth and development by means of strategic planning, knowledge about the capacities of this province, and the management of the possible future challenges. The study at hand was carried out to attain this objective and to get a clearer image of the future of this province in order to identify the variables that are affective on the future of Yazd province. Moreover, conducting structural analysis through MICMAC method, it was tried to investigate the mutual effects of these variables on each other and identify the key drivers of what might form the future of this province. The important variables effective on the system were identified using library research, virtual space monitoring, surveying citizens, and future-related workshops. Variables were prioritized using importance and lack of certainty criteria. Then, the most important ones were fed into the direct effects matrix, and after completion with Delphi method, they were fed into MICMAC software. The outcome of the software was compared with the results of Dimtel method, and finally, the variables of the performance of organizations, balanced development, performance of land use plan, various types of tourism, and attention to water and environment were identified as the most effective variables in the formation of the future of the province.
One of the environmental hazards and ecological crises that our world is facing now is the phenom... more One of the environmental hazards and ecological crises that our world is facing now is the phenomenon of land use change. The timely and accurate detection of these changes and land features has an essential role in better understanding the relationships and interactions between human and natural phenomena in order to better manage and use natural resources using theoretical-analytical method. The present study examined and analyzed metrics related to a period of over 30 years. Sorkhabad Protected Area was selected as the target area. The TM-ETM_OLI image series of Landsat satellite in two periods were exploited to investigate the trend of changes using Envi software and the maximum probability classification method with 86% accuracy of information. Then, the available metrics in Fragstate software were used to process the data at three levels, namely patch, class, and landscape. Along with analyzing and evaluating these three levels, the changes in vegetation and animal distribution changes mapprepared by the Zanjan Environmental Research Center foresters in order to map the distribution of native animals of the provincewas also examined. The results showed that the conversion of pasturelands into agricultural lands has caused the loss of soil and vegetation and has negatively affected the habitat and population of caracal and deer species that are dependent on these environments. Moreover, overgrazing and deforestation have reduced the growth of forestlands; this has led to the destruction of the habitat of leopard and brown bear, and these changes have also contributed to habitat destruction.
Various spatial instances and outcomes can be shown for every social phenomenon in the urban aren... more Various spatial instances and outcomes can be shown for every social phenomenon in the urban arena, and this indicates the spatial behavior of social phenomena. The examination of suchlike phenomena from the viewpoint of correlation and synergy reveals the existence of an interactional pattern among them. In this article, it is tried to provide a brief description of the spatial distribution of variables related to social harms such as joblessness, addiction, etc., in the form of spatial statistical analysis. The research method is descriptive-analytical, and it can be categorized as an applied study. In terms of data collection method, the study adopted library research. In order to analyze the data, we used spatial statistics tests in ARC GIS. In the light of the spatial structure of the social class and the spatial pattern of the variance of the rich and poor areas of Tehran, it was found that poverty and dispersion are among the main stimuli of the concentration of various social harms in poor neighborhoods.
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