Showing 154 results for Type of Study: Applicable
Mr Masihollah Mohammadi, Prof Behrooz Sobhani,
Volume 25, Issue 76 (3-2025)
Abstract
Relative humidity is considered to be one of the most important climatic parameters and atmospheric phenomena. The purpose of the present study is to evaluate the regional algorithms for estimating relative humidity using remote sensing data in Hormozgan province. To this end, MOD05 and MOD07 products were employed to estimate total perceptible water, air temperature, and sea-level pressure Additionally, MOD35 was used for cloud verification, , resulting in the identification of 2190 cloudless images with 95% confidence level for analysis. radiosound data of Bandar Abbas ststion and synoptic stations Covering entire Hormozgan Province. were used to evaluate the results. The findings demonstrated high accuracy of the algorithms and experimental model, with acceptable R² and RMSE values between Modis product and ground data. These results align well with ground station measurements. The province's climate was determined to be semi-desert with a long warm season and a short cool period. Further analysis revealed a strong correlation between sea-level pressure and total perceptible water (TPW) with the region's topography. Maximum TPW and sea-level pressure values were recorded in coastal lowlands, while minimum values occurred in the highlands. Based on zoning maps, Hormozgan province can be divided into four regions based on relative humidity: from very dry conditions with less than 20% relative humidity in the highlands to humid areas with over 65% relative humidity along the coast.
Mr Arsalan Mehrvarz, Dr Agil Madadi, Dr Fariba Esfandyari, Mr Masoud Rahimi,
Volume 25, Issue 76 (3-2025)
Abstract
River morphology holds significant importance in the fields of geomorphology and river management and engineering. The marginal sections of rivers have consistently undergone changes in their riverbeds due to various social and economic factors. The Dare Ourt River, located in the Ardabil province, represents a permanent river that has experienced frequent floods and alterations in its channel morphology in recent periods. In this study, the Dare Ourt river was thoroughly analyzed using the Rosegen model at levels one and two. To conduct this study effectively, detaied data such as 1:2000 river topographic maps, hydrometric data, and boundary conditions from the Ardabil Regional Water Authority were collected and utilized. Furthermore, the HEC-RAS hydrodynamic model was employed to extract the primary indices of the Rosegen model with greater accuracy. The outcomes revealed that the majority of the river sections exhibit a C6c type, characterized by an alluvial substrate. Additionally, other dominant types observed within the four examined ranges include B6c, E6b, F6, and D. Field visits also confirmed a transition in the river type from C to F within range 4, which presents challenges for the reconstruction and restoration of the river in type F. As a recommendation, it is advised to implement restrictions to prevent the river from transitioning into type F.
Dr Esmaeil Najafi, Mr Abolfazl Faraji Monfared, Dr Mehdi Ahmadi,
Volume 25, Issue 76 (3-2025)
Abstract
The extent of mountainous and desert areas in Iran has caused the emergence of well-known geomorphological phenomena. Alluvial fans are landforms found in various locations. Identifying and evaluating their impacts can be valuable for natural hazard management and land use planning. In this study an attempt hs been made to evaluate the status of tectonic activities in the south of the slopes of the Kharqan mountain range in the northeast of Hamedan province. Different maps were utilized to examine the development process of alluvial fans and present evidence of tectonic activity, including the Gozal Valley, Karafs, and several smaller alluvial fans. The findings of this study revealed that tectonic activity in the Gozal Valley cone remains active, while the alluvial fans located between the Gozal Valley are inactive. Further evidence in the bed of the Gozal Valley cones suggests tectonic changes caused by fault activity, resulting in the alteration of the riverbed's drainage pattern and subsequent destruction and erosion of the surrounding areas. Additionally, changes in drainage patterns and sediment depth on the surface of alluvial fans can be attributed to tectonic activities within these fans. Geological logs illustrate both prolonged, slow periods and active periods during various geological eras in the study area. Ultimately, tectonic activity initiated with a lengthy, sluggish phase, followed by continued tectonic activities and fluctuations.
Dr Shahrivar Rostaei, Dr Rahim Heydari Chyaneh, Mr Ayoub Zoghi,
Volume 25, Issue 76 (3-2025)
Abstract
The occurrence of earthquakes and the losses and damages caused by it have always imposed a serious threat to the city, residents and assets, so that it has made planners and city managers to provide logical and scientific solutions to make cities safer. Securing cities against earthquakes will not be achieved only by creating strong structures, and we must take steps to reduce urban vulnerability through optimizing urban land use. The purpose of this study is to determine the optimal urban areas for the development of the city with the aim of reducing the vulnerability of Sanandaj. For this purpose, KNN method has been used as a model with relatively high accuracy to evaluate the optimal land use of Sanandaj city with an emphasis on earthquake risk. The obtained model output shows that about 32% of the city area is in optimal condition and district 2 with 42.78% equivalent to 406 hectares and district 4 with 50.85% equivalent to 658 hectares provide an optimal condition for the development of the city, towards reducing urban vulnerability and increasing urban land use optimization. The general condition of the city is not suitable in terms of optimality and the neighborhoods located in districts 1 and 2 are in a very inappropriate condition due to high population and residential density, very poor permeability and low adaptation of land uses. In evaluating the model, the value of the area below the curve is 0.951, which indicates the desirable performance of the model in examining the subject.
Doc. Zahra Ghassabi, Doc. Hoshang Ghaemi, Mr. Ebrahim Mirzaei,
Volume 25, Issue 76 (3-2025)
Abstract
The structure of deep moist convection can be influenced by various factors, including wind shear, available potential energy of convection, relative humidity, and vertical distribution of these variables. Among these factors, wind shear plays a more significant role in the creation of convection. The interaction between large-scale and synoptic-scale processes, along with the adjustment of available potential energy for convection and the presence of convection inhibitors, creates conditions suitable for the development of convection. The large-scale average reduces the convection inhibitor, while even small vertical velocities, such as a few centimeters per second, can have a noticeable impact on the environment's sounding. The presence of potential instability is also considered an important factor in initiating deep moist convection. When the temperature reaches the critical point and the convection inhibitor is removed, moist deep convection begins. If an air parcel rises above the lower stable layer with low relative convective inhibition energy and high relative free convective potential energy, it supports the development of deep moist convection. The initiation of updrafts by warm air masses and the subsequent development of convection depend on parameters like vertical wind shear and the inversion cap of the environment, among others. Large-scale convective systems can be triggered with less forcing due to the significant uplift of the air mass from the surface to the convection level along the front.
Mr Meysam Zekavat, Dr Mansoure Tahbaz, Dr Mohammad Reza Hafezi,
Volume 25, Issue 76 (3-2025)
Abstract
Buildings are the primary consumers of energy in the country, accounting for approximately 30-50% of total energy consumption. In our country, around 33% of energy is allocated to residential, commercial, and public buildings. The objective of this study is to examine the impact of a building's orientation on its energy consumption. The research is focused on the common 4 and 5-story residential buildings in District 5 of Tehran, specifically on Ferdous Sharq Blvd. The research adopts a descriptive-analytical methodology based on both organizational and field data collection. Six similar residential blocks in different lighting positions were selected to gather data. These blocks share identical characteristics in terms of land area, infrastructure area, number of floors, heating and cooling systems, and other factors. The only distinction among them is their location within a passage. Subsequently, Design Builder software was employed to simulate and compare their energy consumption. The findings of the research reveal that the average energy consumption, with a precision of 98%, for the northern blocks is 7,261 kilowatt hours per square meter per year, while for the southern blocks it is 11,247 kilowatt hours per square meter per year, and for the overall blocks it is 5,254 kilowatt hours per square meter per year. This is approximately three times the ideal building's energy consumption. The northern blocks consume about 5% more energy than the southern blocks. A block that receives light from three sides (north, south, and west) consumes about 11% more energy than the average, whereas a block that receives light from two sides (north and south) consumes about 5% less energy than the average. The north blocks have an energy label of D, whereas the south blocks, except for the end block that receives light from three sides (north, south, and west), have an energy label of C. Consequently, the south blocks generally demonstrate better energy consumption performance.
Dr Hafez Mahdnejad, Dr Ahmad Zanganeh,
Volume 25, Issue 76 (3-2025)
Abstract
Innopolis Daedeok is a beacon of scientific excellence and technological innovation, serving as the nerve center of South Korea's research endeavors. By leveraging the presence of esteemed research institutions and universities, this hub has created a fertile ground for commercializing cutting-edge technologies. The research methodology employed is descriptive-analytical and developmental in nature. The findings indicate that Innopolis Daedeok is strategically divided into five distinct regions, spanning 27.7 square kilometers, to achieve its operational objectives. Notably, 11% of South Korea's Ph.D.-level researchers are affiliated with Innopolis Daedeok. Currently, a workforce of 22,000 researchers and employees is engaged in advanced research, with 10% of the country's research workforce concentrated in this hub. The spatial expansion of Innopolis Daedeok has unfolded in four stages: the establishment of the Daedeok Science Town (1973-1993), the creation of innovation (1993-1997), the formation of an innovation cluster (1998-2003), and the growth stage of the innovation cluster (2004 to present). This evolution has enabled Innopolis Daedeok to become a global innovation hub, with a unique triple helix model of government, industry, and academia collaboration. The development and evolution model of Innopolis Daedeok is characterized by three distinct stages: the initial stage (science park model), the development stage (technopolis model), and the maturity stage (innovation cluster model). This model serves as a benchmark for other innovation hubs, highlighting the importance of strategic planning, collaboration, and investment in research and development.
Zeinab Ebrahimighalelani, Dr Javad Khoshhal Dastjerdi, Dr Hojatolah Yazdanpanah,
Volume 25, Issue 77 (6-2025)
Abstract
Each plant needs a certain amount of heat at the time of planting and during its growth and development. The purpose of this research is to determine the thermal requirements of grain corn in the stages of growth phenology in the climatic conditions of Moghan and to determine the suitable cultivation areas in terms of heat requirements in northwest Iran. For this purpose, the technology of corn variety Single Cross 704 recorded consecutively from 2011 to 2014 at the Moghan Meteorological Research Farm and agricultural data from 51 synoptic stations in the northwest of the country (1996-2016) selected from the General Meteorological Organization of the Country have been used. To carry out this research, thermal requirements in each of the 5 main phases of phenology have been determined at the Moghan station, then using the regression equation between the 15-day average of temperature and altitude, a temperature-temperature history map for seed cultivation in all stations from the first half of the year was drawn using Geographic Information System software. Also, the length of scientific periods and the degree of growth day were calculated and the relevant maps were drawn using the Kriging method. Then, it was combined with the layers of altitude, slope of the region and land use, and finally, a zoning map of lands suitable for grain corn cultivation in the northwest of the country was drawn. Based on the results obtained, 27.6 percent of the study area is capable of cultivating this plant.
Jalil Badamfirooz, Leyla Sharifi,
Volume 25, Issue 77 (6-2025)
Abstract
By assessing the functions and ecosystem services of protected areas, planners and decision-makers of land use planning and sustainable development at the regional and national levels can be of great help. The present study specifically assesses the water and soil resources in the Gandu Protected Area and the economic valuation of these services. In order to model the ecosystem services of water balance, soil conservation and water quality, the hydrological model based on WWPSS remote sensing data was used. The simulation was carried out using a series of one-degree square mosaic images (one hectare) on a monthly scale. The Invest model and the replacement cost method were also used for economic valuation. The results showed that the total water produced in this area is 401,205,344 cubic meters per year. Also, the minimum, maximum and average water budgets are all negative and are equal to -1492.76, -38.04 and -639.24 mm per year respectively, which indicates a lack of rainfall and intense evaporation and transpiration in this region. The average potential pollution of surface water is 4.5% and this region prevents 2 tons per hectare of soil erosion annually. The real economic value of water production and soil conservation is estimated to be 20.18%, 67.54 and 2729.65 billion rials in 2019, respectively, with inflation correction. Three scenarios with discount rates (compound) of 8, 12 and 15% were used in the periods of 5, 10, 15 and 30 years to determine the economic value of the functions of these resources in the future. The results showed that, for example; With a discount rate of 15% and over a period of 30 years, the economic value of the water production and soil conservation functions reaches 4471.82 and 180730.13 billion rials, respectively. In total, the economic value of the water production and soil conservation functions is 0.35 and 14.17 percent of the total value of the region.
Faranak Behdost, Professor Keramatollah Ziari, Dr Hossein Hataminejad, Dr Hassan Ali Faraji Sabokbar,
Volume 25, Issue 78 (9-2025)
Abstract
Today, due to the conditions of globalization, city branding has become increasingly important due to its tourism potentials. Most regions with strategic planning in this area aim to achieve economic development and reduce deprivation through tourism. In this study, the research strategy is deductive, and its purpose is practical. The required data and information were collected from library resources and surveys (questionnaires and interviews) with experts. The meta-SWOT technique, based on an inside-out approach and a resource-based perspective, provides a framework for enhancing the competitiveness of cities and regions. The city of Kermanshah possesses significant capabilities to attract tourism, enabling it to achieve urban, regional, and global competitiveness. The findings of this study show that among the capabilities and potentials of Kermanshah, the existence of historical and cultural monuments—such as Taq-e Bostan, pillars, historic houses, museums, and its role as a center for handicrafts—as well as cultural similarities with people living in Iraq and Turkey, along with its unique culture, beliefs, and customs, serve as key tourism potentials. These attributes align with the four characteristics of the VIRO framework (Value, Rarity, Imitability, and Organization), making them the most strategic fit with macro variables affecting tourist attraction and urban competitiveness through tourism in Kermanshah. Among the major influential variables, the COVID-19 pandemic, international sanctions against Iran, climate change, natural disasters, and lack of funding have the greatest impact on the urban competitiveness of Kermanshah. Based on the analysis of resources and macro variables, a strategic fit map was developed, and appropriate solutions were proposed.
Miss Rana Norouzi, Mr Sayyd Morovat Eftekhari, Mr Ali Ahmadabadi, Miss Khadijeh Alinoori,
Volume 25, Issue 78 (9-2025)
Abstract
In recent decades, land subsidence has emerged as a significant geomorphological hazard and environmental crisis, resulting in extensive and often irreversible damage to the plains of Iran. The primary driver of this phenomenon is the ongoing water crisis. The Eshtehard Plain, a vital industrial and agricultural hub in Alborz Province, has been classified as a critical prohibited zone by the Ministry of Energy due to the severe decline in groundwater levels. Consequently, assessing the rate of subsidence and identifying its causes and influencing factors are essential for effective risk management. This study employed the Differential Radar Interferometry (D-InSAR) technique to analyze subsidence in the Eshtehard Plain, utilizing data from the Sentinel-1A satellite spanning the years 2017 to 2023. During this period, subsidence in the region ranged from -2.08 cm to -2.93 cm. The highest subsidence rate, approximately -2.93 cm, occurred between 2019 and 2020, while the lowest, approximately -2.08 cm, was observed between 2022 and 2023. Notably, subsidence rates exhibited an increasing trend from east to west and in the southern expanse of the plain. The maximum subsidence observed throughout all study periods was concentrated in the Eshtehard aquifer area, which encompasses a significant portion of farmland, villages, the city of Eshtehard, industrial towns (Kosar, Omid, and Eshtehard), agricultural lands, and the highest density of groundwater extraction wells. Hydrographic analysis and interpolation of piezometric well data further revealed a consistent decline in groundwater levels and an increase in water table depth in this area. Moreover, the correlation between land subsidence and changes in groundwater depth was statistically significant at the 95% confidence level, indicating that subsidence intensifies as groundwater levels decrease. The subsidence change profiles suggest a complex subsidence pattern within the study area, influenced by a combination of factors, including human activities (such as the intensity and type of land use, as well as excessive groundwater extraction), environmental conditions, geological characteristics (e.g., sediment composition, aquifer thickness, and bedrock position), and the rates of aquifer recharge and discharge. These findings underscore the urgent need for sustainable groundwater management and mitigation strategies to address the escalating subsidence crisis in the Eshtehard Plain.
Dr Samira Motaghi, Dr. Hani Jaber Mohsen Obaid Al-Masoudi, Ms Parisa Ghorbani Sepehr,
Volume 25, Issue 79 (12-2025)
Abstract
In the domain of spatial planning for border areas, it is imperative to adopt a macro-perspective view of geography to effectively identify the potentialities, capabilities, and limitations inherent to these regions. This approach aims to mitigate tensions and challenges arising from unbalanced development, deprivation, and spatial heterogeneity. The research methodology employed in this study is applied in purpose, utilizing a descriptive-analytical approach in terms of method. Specifically, a combination of multi-criteria decision-making techniques, including the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and the Shannon entropy coefficient, has been utilized to evaluate the distribution and development of spatial development indicators within the health service sectors of Kurdistan Province. The border cities of this province have been classified according to their levels of these indicators. The central research question of this study is: What is the state of the cities in Kurdistan Province concerning the spatial distribution of health and service indicators? Preliminary findings suggest that the level of access to health services in each of the border cities in Kurdistan Province does not meet the desired standards. The results indicate that, despite its strategic geopolitical significance, Kurdistan Province remains one of the most deprived regions in the country. Furthermore, there exists a notable imbalance and heterogeneity in the distribution and development of facilities and indicators across the border cities of the province. An analysis of 13 indicators pertaining to spatial organization across four border cities reveals that Saqez and Baneh are classified within the semi-privileged (semi-deprived) group, while Marivan and Sarvabad fall within the deprived category. Consequently, the findings underscore that the spatial organization in the border cities of Kurdistan Province is markedly heterogeneous, positioning these cities at a middle to lower level in terms of health service development. It is essential to afford particular attention to this border province to ensure the enduring security and well-being of its citizens.
Fereydoon . Babaei Aghdam, Rahim Rahim Heydari Chianeh, Qassem Rahimifard,
Volume 25, Issue 79 (12-2025)
Abstract
The objective of this study was to examine the impact of destination image and service quality on the competitiveness of tourism destinations, specifically focusing on Tabriz city. This research is classified as applied in terms of its purpose and analytical in terms of its descriptive methodology. The statistical population comprised incoming tourists to Tabriz, with a sample size estimated at 384, calculated using Cochran's formula for an infinite population. To gather field data, a researcher-developed questionnaire was employed, the validity of which was confirmed by subject matter experts. The reliability of the instrument was assessed using Cronbach's alpha and composite reliability, with the results affirming the questionnaire's reliability. Data analysis was conducted utilizing SPSS and LISREL software. The findings indicated that both destination image and service quality exert a positive and significant influence on the competitiveness of tourism destinations. Furthermore, the path coefficient analysis demonstrated that the impact of destination image on the competitiveness of tourism destinations was greater than that of service quality.
Miss Tara Heidari Orojloo, Dr Afshin Afshin Ghorbani Param, Dr Faramrz Hasanpour,
Volume 25, Issue 79 (12-2025)
Abstract
The climatic conditions of various regions in Iran are critical parameters in the design and provision of thermal comfort within residential architecture. This study aims to develop appropriate climate-responsive design models for Shiraz, grounded in thermal comfort indicators. The research employs a descriptive-analytical methodology, utilizing advanced modeling software, specifically the Grasshopper plugin, for simulation purposes. Climatic data for the city of Shiraz has been extracted using the Ladybug plugin, with the relevant EPW file incorporated into the analysis. This data was then employed to simulate climate tables, generate diagrams of flowerbeds, and determine optimal building orientations, in addition to creating psychrometric diagrams to identify the most effective design solutions aligned with the local climate. The findings indicate that Shiraz falls within the climate comfort zone during the winter and spring months, notably in February, March, and April. However, it is important to note that the temperature during these months, with the exception of April 13-16, often exceeds the comfort range. Consequently, it is recommended to position the majority of windows on the southern façade and to incorporate auxiliary heating systems. Conversely, during the months of June, July, August, and September, temperatures surpass the comfort level; thus, the integration of materials with high thermal mass, appropriate shading devices, and the utilization of evaporative cooling systems are essential to alleviate internal conditions and maintain indoor comfort levels.
Ph.d Khalaf Anafjeh, Se Yyed Mehdi Moussakazem, Ph.d Masoud Safaipour, Ph.d Abdulnabi Sharifi,
Volume 25, Issue 79 (12-2025)
Abstract
This article aims to identify and analyze the five strategic drivers of the urban poverty system in the target neighborhoods of the study. These drivers can be effectively managed, manipulated, and tracked through the implementation of anti-poverty policies, thereby improving the overall condition of these neighborhoods. Recognizing the critical need to organize economically-focused spaces, the article seeks to reform and reconstruct the urban poverty structures in the target areas through a futures research approach. The research is applied in nature, utilizing a descriptive-analytical methodology that aligns with contemporary normative futures research practices. Following the development of a questionnaire for equilibrium analysis of interactions, a comprehensive assessment of potential states and their classifications (uncertainty scenarios) was conducted. This enabled the extraction of qualitative insights from 30 experts regarding the interrelationships within the network, facilitated by a Delphi survey and algorithmic data analysis using the CIB method in the Scenario Wizard software.Given the matrix size of 15x15, the Scenario Wizard software analyzed 3,657 combined post-scenarios based on the questionnaire data, yielding five strong or probable scenarios, 14 high-compatibility scenarios (believable scenarios), and 28 weak scenarios (possible scenarios). After expert validation, four scenarios were descriptively named: M-A, M-Sh, H-HA, and Z-S.J. Finally, by employing thematic macro-trends as technical tools for future-oriented economic interventions in the regeneration process, tailored poverty alleviation policies were formulated and proposed for each driver, presented as thematic measures based on the desired scenarios to reform the urban poverty structures of the Ahvaz metropolis.
Kiomars Khodapanah, Arasto Yari,
Volume 25, Issue 79 (12-2025)
Abstract
Water resource management, during the development of its conditions and scope, is subject to various dimensions and constraints. Therefore, identifying the contributing factors for sustainable water resource management is essential for optimizing its use. This research focuses on the central rural areas of Ardabil County, examining farmers' perspectives on the factors influencing the management of sustainable water resources (including Sharif Baigloo, Hakim Gheshlaghi, Sham Asbi, Vakil Abad, Omidche, Pirghavam, Aghbalagh Rostamkhani, Gharelor, and Gilandeh). This study employs a descriptive-analytic approach with an applied focus and utilizes quantitative methods. The statistical population consists of heads of farming households in the central region of Ardabil County. Seven dimensions were considered, encompassing 72 components, with a calculated sample size of 349 participants. The sample distribution across the villages was conducted randomly and proportionally to the size of farming household heads in each village. Smart PLS software was utilized for analysis. The initial assessment of the measurement model demonstrated a good fit, with 68 components exhibiting impacts above the factor of 0.5. The results of the structural model indicated significant structural relationships between sustainable management and economic, social, productivity, technical, educational, and institutional factors. Furthermore, the coefficient of determination (R²) exceeded the threshold of 0.26 for all dimensions, indicating strong relationships. Specifically, the lowest R² for the economic dimension was 0.299, while the highest value for the productivity dimension was 0.511. These findings suggest that revising perspectives on agricultural water management, with a shift towards an integrative, participatory approach focused on optimal management while considering economic, social, technical, educational, and other relevant dimensions, is crucial for achieving sustainable water resource management.
Esmat Khan Mohammadi, Rahim Sarvar, Alireza Estalaji,
Volume 26, Issue 80 (3-2026)
Abstract
Today, the accelerating trend of urbanization, the lack of guidance and urban management, national and regional inequalities, and differences in the socio-economic base of individuals have led to the growth and expansion of informal housing. Due to this situation, informal housing has been expanding in Tehran's metropolitan area. The present study seeks to find key factors affecting informal housing in the study area and also to determine the relationships between criteria through structural-interpretive modeling (ISM). Are; Which is applied in terms of the nature of the application and in terms of the combined method (quantitative and qualitative) and in terms of the inductive research approach In this method, a questionnaire tool was used and in order to analyze the relationships and present their structural model, the interpretive structural modeling method was used, The results of MICMAC analysis and the classification of key factors in the four matrix clusters It shows that the factors of economic growth, redistributive policies, decentralization and transfer of authority, regional equilibrium policies, revision of development and sanctions laws and regulations and its effects are in the fourth cluster,which are in fact variables of research. In fact, key variables are research, and the only factor in housing policies is the cluster of link variables, which will guide other factors, and change will affect the entire system.
Dr Hafez Mahdnejad, Dr Hamid Bargi, Dr Alireza Gholami,
Volume 26, Issue 80 (3-2026)
Abstract
Today, the cities of the country are faced with a kind of duality and inequality. As urban inequality has become one of their spatial characteristics. Therefore, the purpose of the present study is to Zoning of spatial inequality neighborhoods of Isfahan metropolis based on economic indicators for better planning for organizing, empowering and enhancing their quality of life. This study is an applied one and its method is descriptive-analytical. The research data were obtained from Statistical Blocks of Iran Statistical Center (2016). The statistical method used to analyze the data, compile the indices and extract the final urban poverty indices with AHP, Topsis and Hotspot. The findings show that the coefficients of influence on the components of the main occupational, occupational, housing and vehicle components respectively are: 0.266, 0.317, 0.223 and 0.184. According to the final index of poverty status in terms of economic indicators, 23 neighborhoods (11.98%) have good quality, 37 neighborhoods (19.27%) have relatively good quality, 52 neighborhoods (27.08%) are in moderate condition, 64 Neighborhoods (33.33%) are in poor condition and finally 16 neighborhoods equivalent to 8.33% of all metropolitan areas of Isfahan are in poor condition. In total, about 42% of all metropolitan areas of Isfahan are in poor condition. The results of the Hotspot model show that neighborhoods with higher than average values in the south and partly in the center of the city and neighborhoods with lower than average values are located in the east and partly west of Isfahan. In fact, the city can be divided into northern and southern parts.
Behroz Ghadar, Sadegh Besharatifar, Zarin Forougi Forougi,
Volume 26, Issue 80 (3-2026)
Abstract
Abstract
Evaluation of indicators of sustainable development, as the axis of human excellence, is the dominant basis of urban planning and land management and has a decisive role in spatial dispersion and the formation of environmental behavior of human societies. The method of this research is descriptive-analytical and its main tool is a researcher-made questionnaire. Data were collected using library and survey methods (questionnaire tool). The statistical population is 35 neighborhoods of Bandar Mahshahr that the sample size through Cochran's formula with 95% confidence level using the number of households in Mahshahr 382 people who through simple random sampling in the neighborhood has distributed a questionnaire. Based on the research criteria, the results show that the neighborhoods of Bandar Mahshahr are in a state of instability and the severity of instability is different between them. So that in the selected indicators from the 35 neighborhoods, only neighborhoods 1, 2, 6, 15, 16, 17, 19 are at a stable level and other neighborhoods (28) are in an unstable situation, this situation is affected by their position in It is the spatial structure of the city, which has led to the formation of neighborhood inequalities in terms of indicators of social stability and segregation. The results of route analysis have shown that all economic, social, physical, environmental and spatial justice indicators have a positive and significant effect on sustainable development of Mahshahr city, among which the economic index has the greatest effect on sustainable development of urban areas.
Keywords: evaluation, sustainable development, neighborhoods, planning, Mahshahr
M Saeed Maleki, M Mahsa Delfannasab, J Javad Yousefvand,
Volume 26, Issue 80 (3-2026)
Abstract
Correct analysis of the housing market situation and correct knowledge of the factors affecting housing, especially in terms of its price and the extent of the impact of each of them, can help planners and officials in the correct analysis and forecast of the future situation and appropriate Provide appropriate solutions. The aim of this study was to identify the drivers of housing price in Khorramabad. Theoretical data were prepared by documentary method and experimental data by survey method based on Delphi method. The statistical population of the study is 30 experts and specialists in the field of housing in Khorramabad city were selected by purposive sampling. Delphi methods, cross-sectional analysis and MicMac software were used to analyze the data. For this purpose, first 23 factors were identified by Delphi method and using descriptive questionnaires by experts. In the next step, the matrix of cross-effects was designed to measure the impact of factors on each other and provided to experts. Finally, out of a total of 23 initial factors affecting housing prices in Khorramabad, 12 factors were identified as key factors of the system. Size: Household income, land price, building density, number of units and floors, access to urban facilities and services, population density, geographical location of lands, uninhabited future uses, number of rooms, security status, size of property plots, demand status.
