Search published articles


Showing 154 results for Type of Study: Applicable

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.

Page 8 from 8     

Creative Commons License
This work is licensed under a Creative Commons — Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)