Search published articles


Showing 128 results for Rs

Dr Mohammad Ebrahim Afifi,
Volume 24, Issue 75 (12-2024)
Abstract

Among the natural hazards, without a doubt, the flood is known as a natural disaster. In this research, Shannon entropy model was used to prepare a flood sensitivity map. First, 34 flood watersheds were selected from Firoozabad basin, and then these 34 points were classified into two groups. With 22 points, 65 percent of the points for training and modeling, and 12 points, 35 percent of the locations that were not used in modeling were used for validation. First, a map of the status of the floods was developed and Then, 10 factors, slope, tilt, lithology, land use, NDVI, SPI, TWI, altitudes, rainfall and distances from the river were selected as flood factors in Firoozabad basin. Prioritizing the effective factors in the occurrence of flood by Shannon entropy index showed that the NDVI layers (2.03), rainfall (0.00), distance from the river (1.89), SPI (385.1), elevation classes (999 (0/19), gradient with weight (0,932), lithology (478/0), TWI (379/0), and land use (280/0), respectively (0/184) have the highest and the least impact Flood events. Based on the results of the ROC curve, the predicted surface area under the curve with 35% of the validation data is equal (91.42%) and for the success rate with 65% of the equal education data (92.53%).
Ehsan Lashgari Tafreshi,
Volume 24, Issue 75 (12-2024)
Abstract

In the classical view, the political dimension study of space has always been considered as the political geography ontological basic. Gradually from the 1980s with the development of post-positivist perspectives on human geography; Politics affected all social spheres from government and political parties to gender and considered the smallest power relations associated with the political concept. The political issue has rejected the organization of space on the basis of formal logic and has introduced new forms of epistemological reconstruction in the study of the relationship between politics and space. In this article, has been attempted to explain the political epistemological consequences in the study of relationship between politics and space. Research findings indicate that political dimension of space study is needed epistemic relativism in context of the political. In this regard, intersubjective cognition has a special dependence on the historical evolution of space and therefore requires to power factor genealogy. This spatial genealogy is always linked to the conflict that exists in human societies and forms the possibility of space antagonistic cognition. In this regard, the social meaning of geographical space; considered as place of conflict and resistance of marginalized groups and hegemonic forces in society Which reach a kind of adaptive balance within a certain time.  This process is caused, the epistemological model adaptation of cultural geography and political geography with each other.
Sara Ferdosi, Hasanali Faraji Sabokbar, Alireza Darbaneh Astaneh, Fazileh Khani,
Volume 24, Issue 75 (12-2024)
Abstract

The development of sustainable entrepreneurship plays a critical role in promoting human well-being and environmental preservation. To achieve this objective, it is essential to understand the factors affecting the emergence of entrepreneurial opportunities in different regions. Therefore, this study aims to explore these factors through a descriptive-analytical survey, with data collected from documentary research and field surveys. The number of experts was 52 who were purposefully sampled using the snowball method. The study employed four indicators and 28 items, which were measured using the Likert scale. A sample of 439 individuals, consisting of 387 villagers and 52 experts, participated in the study. The selection of the 387 villagers was determined using Cochran's formula from a statistical population of 215,104 people. Descriptive statistics, such as mean and standard deviation, as well as inferential statistics, including one-sample t-test and one-way analysis of variance, were used to analyze the data. The results of the one-sample t-test revealed that all indicators examined in the study were statistically significant at a confidence level above 95%. These findings suggest that the villagers' perception of these indicators is positive, given that the observed mean value (3.1) is assumed to be positive. Furthermore, the evaluation statistics, such as the multiple determination coefficient and adjusted coefficient of determination, indicated that the transcendental model provides a better understanding of the factors influencing entrepreneurial opportunities and the key areas of entrepreneurship. The analysis of the transcendental model demonstrated that government subsidies, investment and facilities, product insurance, and education are the most influential factors in the formation of entrepreneurial opportunities. Additionally, the most important sectors for creating and developing entrepreneurship were found to be handicrafts, home-based jobs, oil and gas, medicinal plants, and date production. Overall, the results highlight the region's significant potential for natural, economic, and industrial entrepreneurship, emphasizing the necessity for the government to prioritize investment in entrepreneurship.

Saeed Jahanbakhshasl, Ali Mohammadkhorshiddoust, Fatemeh Abbsighasrik, Zahra Abbasighasrik,
Volume 24, Issue 75 (12-2024)
Abstract

 Assessing and predicting future climate change is of particular importance due to its adverse effects on water resources and the natural environment, as well as its environmental, economic and social effects. Meanwhile, rainfall is also an important climatic element that causes a lot of damage in excess conditions. West Azerbaijan Province is no exception. The aim of this study is to model and predict 30 years of rainfall in West Azerbaijan province. The statistical period studied is 32 years (2019-1987). Selected stations in the province include Urmia, Piranshahr, Takab, Khoy, Sardasht, Mahabad and Mako stations. Average slider time series models, Sarima (seasonal Arima), Health Winters were used for analysis and prediction and also linear regression and Mann-Kendall test were used to determine the data trend. The results show an increasing trend of precipitation in Urmia, Piranshahr, Khoy, Sardasht and Mako stations and a decreasing trend in Takab and Mahabad stations. According to the results of comparing the models used, the Health Winters model with the least error in the absolute mean of deviations, mean squared deviations and the percentage of absolute mean errors was introduced as the best precipitation forecasting model for West Azerbaijan province. province.                                     [A1] 


Mr Mohamad Reza Hatafi Ardakani, Dr Mphammad Hosein Saraei, Dr Mohamad Mahdi Karimnejad, Dr Seyed Ali Almodaresi, Dr Saideh Moayed Far,
Volume 24, Issue 75 (12-2024)
Abstract

One of the aspects of sustainable urban development and balanced physical development is in line with ecological and socio-economic environmental conditions. In the last decades of the twentieth century, despite many efforts in the field of sustainable spatial development of cities, this issue still remains an important challenge for geographers, urban planners, architects and urban planners. In many cities in developing countries, rapid urbanization and increasing urban population have exacerbated environmental hazards. This is doubly important in small cities. Because physical development, in addition to land use change, has met the basic needs of urban society, including the provision of safe and sufficient water, green space per capita, urban waste management and environmental pollution. The present study is applied in terms of purpose and analytical in terms of method. The statistical population consisted of university professors and experts in the field of research in Ardakan who were selected by purposive sampling. They were selected to conduct and implement the research. In order to achieve the research objectives, using a new analytical methodology of interpretive structural modeling (ISM), the relationships between the factors were determined and analyzed in an integrated manner. Finally, using MICMAC analysis, the factors were analyzed according to the impact and effectiveness on other components. The results of the interpretive structural model of the factors affecting the inner development of the city showed that the obtained model includes three levels and the results showed that the managerial and physical factors are the most basic factors affecting the inner development of the city that should be addressed in the first place. In other words, any action to pave the way for the internal development of the city, requires attention to these factors along with other factors

Hossein Mobarra, Mahsa Faramarzi Asli,
Volume 25, Issue 76 (3-2025)
Abstract

Housing is a crucial domain for testing human interactions and serves as a physical framework where social, cultural, and economic resources intertwine. In order to achieve social progress, the realm of housing encompasses not only the residential units themselves but also their surrounding environments. The focus on housing quality indicators is essential for attaining sustainable housing, which in turn lays the foundation for sustainable urban development. However, the increasing demand for housing and the prevailing quantitative approach have led to the neglect of the fundamental issue of housing quality in its true essence. Insufficient access to suitable housing can contribute to or worsen various psychological and social challenges. Hence, this research aims to identify the main indicators and components of housing quality and prioritize them, assuming equal weighting of their influence. The research methodology employed in this study is practical in its objective and descriptive-analytical in its approach. To achieve the intended objective, the Analytic Network Process (ANP) model is utilized to determine the weight and prioritize each indicator and component of housing quality. Subsequently, after evaluating the indicators using the ANP model, the results indicate that among the examined indicators, housing facilities and amenities with  0.318, housing security with 0.218, housing comfort with 0.145, compatibility with complementary uses with 0.142, housing durability with 0.109, and housing climate adaptation with 0.065 have been assigned the highest weights, respectively.

Shadi Khoob, Hamdollah Sojasi Qeidari, Aliakbar Anabestani,
Volume 25, Issue 76 (3-2025)
Abstract

Entrepreneurship, a burgeoning force in today's economy, plays a pivotal role in rural development by fostering progress, poverty alleviation, and job creation. However, rural areas often grapple with a scarcity of financial capital essential for business initiation or expansion. To address this, governments have introduced micro-rural credits as self-employment loans to stimulate rural employment and entrepreneurship. This study aims to evaluate the impact of government micro-credits on rural entrepreneurship development in Radkan. Adopting an applied, developmental, and descriptive-analytical approach, data was collected through documentary, library, and field research. The study population comprised 27 entrepreneurs, with a sample of 244 individuals from 13 Radkan villages selected using the Cochran formula with a 0.06 error level. Their opinions on research indicators related to the topic were assessed. Findings reveal that micro-government credits have had a negligible impact on rural entrepreneurship in the study area. Most sample entrepreneurs supplemented bank loans with personal funds. Furthermore, insufficient loan amounts, limited credit accessibility, absent insurance support, lengthy loan processing times, and unfavorable repayment terms resulted in low satisfaction levels among entrepreneurs (average 2.32) and rural residents (average 1.91).

Dr Ahmad Poorahmed, Mr Ali Saberi,
Volume 25, Issue 76 (3-2025)
Abstract

The city development strategy(CDS) is a novel initiative that is currently being implemented in numerous cities worldwide, including several in Iran. Its primary objectives are to enhance the quality of life, combat poverty, promote sustainable development, and foster effective urban management through a participatory approach. The purpose of this study is to examine and compare the perceptions of residents and municipal administrators regarding various aspects of the urban development plan. This study is characterized as descriptive-analytical. The statistical population comprises managers, employees of urban management, and citizens in Yasouj city. The sample size was estimated to be 384 for citizens and 30 for managers using Cochran's method. One-sample t-test, independent t-test, one-way analysis of variance(ANOVA) and multivariate linear regression were used to analyze sample data. The findings of the study reveal that while municipal administrators are generally content with the current state of these dimensions, residents believe that these elements of the urban development plan are not satisfactory. The descriptive statistics and the t-test demonstrate that the overall mean of the urban development plan dimensions is 1.88 from the people's perspective and 2.98 from the viewpoint of urban administrators. Furthermore, the level of satisfaction with the research's dimensions significantly differs between the two groups. The linear regression analysis indicates that, according to the people's perspective, the dimensions of bankability and the ability to live comfortably hold the highest and lowest significance, with coefficients of 0.413 and 0.167, respectively. However, from the perspective of city managers, the dimensions of livability and good governance are the most and least significant, with coefficients of 0.373 and 0.112, respectively. Ultimately, the findings of this study can assist urban managers in making more informed decisions and delivering services that better align with the needs of the community.

Mohammad Ali Jamalizadeh, Abbas Masoudi,
Volume 25, Issue 76 (3-2025)
Abstract

Ancient cities have always possessed inherent distinctions from contemporary cities, which are evident in their physical structures and overall layouts, allowing them to be easily differentiated from their modern counterparts. These distinctions, influenced by economic, political, cultural, and social conditions, have resulted in varying degrees of change in the urban structure and have given rise to two types of urban growth. Organic growth is characterized by a continuous and coherent expansion that prioritizes form in relation to function, in stark contrast to the fragmented and discrete nature of global cities in the modern era. This study seeks to address whether it is feasible to apply the characteristics and developmental patterns of ancient cities in today's world by examining the evolution of urban form throughout history up to the present day. Alternatively, can a favorable outcome be achieved by integrating certain characteristics of ancient cities into contemporary urban environments? Based on this objective, the study explores the evolution of urban form across three historical periods - pre-Islamic, post-Islamic, and the modern era - with a particular focus on the establishment of governmental centers in the central desert of Iran. The comparative method of induction is employed to discuss the subject matter in line with the research assumptions. The findings indicate that the first and second hypotheses have yielded more significant results in a greater number of unsuccessful experiments. Conversely, the third hypothesis has been more successful in a wider range of experiments with diverse outcomes. Moreover, considering the success rate of 0.100 and the absence of unsuccessful experiences for the Kerman experiment, it can be argued that this hypothesis is relatively superior and preferable for assessing the success rate of related projects.

Laaya Jalilian, , Mohsen Ahadnejad, Hiwa865@gmail.com,
Volume 25, Issue 77 (6-2025)
Abstract

Policy-making in tourism development planning necessitates the adoption of innovative methodologies within the domain of urban governance. In alignment with this framework, it is imperative to implement policies that focus on the processes of "developing a good governance model for tourism in the post-COVID-19 era in Iran." This approach aims to mitigate the challenges posed by the pandemic, which has imposed significant strain on the tourism industry by reducing the evaluation of tourism governance indicators and establishing a foundation for their implementation. The methodology of this research is descriptive-survey with a practical focus, employing both documentary studies and field research. The qualitative component of the study utilized interviews as a tool for data analysis and the examination of relevant tourism indicators. The statistical population comprises experts and stakeholders involved in the tourism sector in Iran, with a sample size of 14 individuals selected through a combination of purposive and snowball sampling techniques. In-depth semi-structured interviews were conducted, and the data were analyzed through a process of open, axial, and selective coding until theoretical saturation was achieved, leading to the categorization of main and sub-categories. The data analysis was informed by the grounded theory methodology. The findings of this research, which identify indicators of effective governance and elucidate the causal conditions for the application of such governance in Iran's tourism industry, provide a foundation for potential outcomes, including the enhancement of the business environment, particularly in the aftermath of the economic downturn experienced due to the COVID-19 pandemic. These outcomes may lead to the creation of competitive advantages through the establishment of conducive platforms, including organizational measures, infrastructure development, technological enhancements, and the implementation of information and communication management strategies, marketing strategies, and oversight mechanisms, all of which are articulated as a comprehensive model.

Zohreh Maryanji, Fatemeh Sotoudeh, Meysam Toulabi Nejad, Ziba Zarrin,
Volume 25, Issue 77 (6-2025)
Abstract

Understanding and predicting future climatic conditions and characteristics is crucial due to their implications for various aspects of life. This research aims to forecast trends in extreme temperatures in the Hamedan region by employing statistical downscaling of general circulation model data. The LARS statistical downscaling model has been utilized to downscale data from the HadGEM2-ES general circulation model and the coupled CMIP5 model under three emission scenarios (RCP2.5, RCP4.5, RCP8.5). Correlation estimates between the simulated and observed data indicate values exceeding 0.95 for all months. Additionally, the p-values derived from statistical tests based on the model outputs demonstrate an acceptable level of performance in data generation and simulation. Consequently, data from 2011 to 2050 were extracted and analyzed for trends. To elucidate changes in trends, the data were examined across three distinct time intervals. The results indicate that in the optimistic scenario (RCP2.5), no significant trend is observed in the average and minimum temperatures. In contrast, significant trends in temperature data are evident under the RCP4.5 and RCP8.5 scenarios, suggesting that the increase in average minimum temperatures reflects severe climatic changes, particularly affecting precipitation patterns during the cold season. Furthermore, the analysis of the trend data reveals a significant increase in average maximum temperatures on both annual and monthly scales across all three examined scenarios, indicating an imminent environmental crisis.

Hassan Heidari, Ebrahim Mesgari,
Volume 25, Issue 77 (6-2025)
Abstract

Understanding the daily weather types of any specific location is crucial for identifying its long-term climate patterns. In this study, we utilized the Wos classification method in conjunction with a comprehensive climatological approach to analyze key variables, including minimum, average, and maximum temperatures, as well as cloud cover and daily precipitation. Data from 1985 to 2021 were collected from 39 synoptic stations, which exhibited a well-distributed representation across the country and provided complete datasets. Weather types were identified using established coding techniques. The findings indicated that the predominant temperature types in the country are primarily categorized as hot and very hot, with sub-codes reflecting generally low to moderate cloud cover and negligible precipitation. Furthermore, the application of Ward's clustering method facilitated the identification of three distinct climatic groups. The geographical characteristics of each location, including factors such as altitude, latitude, proximity to the sea, and synoptic influences, play a significant role in the regional differentiation of these groups within the country. The outcomes of this research can be instrumental in developing weather calendars for various regions, with implications for numerous sectors including agriculture and tourism.
 

Masoud Malekian Dolat Abadi, Gholamhosein Heidari, Farhad Hamzeh,
Volume 25, Issue 77 (6-2025)
Abstract

The contemporary global landscape is characterized by heightened geopolitical competition, in which energy resources have evolved from being mere support for nations to becoming pivotal elements in the contest for power. This context has transformed corridors into significant arenas for competition, as each country endeavors to establish its position within the intricate network created by these emerging corridors. In this regard, the prevailing global geopolitical trend has intensified the competition over maritime chokepoints and secured access to cross-border markets.This research serves as a theoretical foundation, employing a descriptive-analytical methodology that incorporates a comparative approach, utilizing library and internet resources for data collection. Within the chronopolitical framework of Iran-Iraq relations, each actor strives to delineate its role in international corridors while pursuing various objectives. For instance, Iraq is actively engaged in the "FAW Corridor" initiative, whereas Iran seeks to expand economic cooperation and secure a place in the burgeoning alliances of the East. While it is challenging to make definitive predictions regarding the future of relations between the two countries from a chronopolitical perspective, emerging signs suggest a trend toward diminished cooperation and increased competition, influenced by a multitude of variables. A key indicator of this potential competition is the rivalry over transit routes (corridors).
 

Mostafa Karampour, Yeganeh Khamoshian Sahneh, Zohreh Ebrahimi, Hamed Heidari,
Volume 25, Issue 78 (9-2025)
Abstract

Atmospheric rivers are one of the atmospheric phenomena that generate heavy rainfall and can lead to significant human and financial losses. Understanding the synoptic mechanisms of water vapor flux and atmospheric river formation in the country's atmosphere, as well as revealing the interaction between the NAO (North Atlantic Oscillation) zonal component and the creation and intensification of this atmospheric phenomenon, can greatly improve the predictability of torrential rainfall events. The main goal of this research is to investigate the atmospheric river phenomenon in the Iranian atmosphere and its relationship with the phases of the NAO phenomenon. In this regard, data on the zonal and meridional components of wind, specific humidity, and NAO anomalies were obtained from the NOAA database during the statistical period of 1944–2019. The results showed that during the study period, atmospheric rivers have shifted in terms of longitude and latitude, moving toward the southern half of Iran. A high correlation was observed between the NAO index and meridional flows at levels above 600 hectopascals. Additionally, a sigma value of 0.2101 indicated a strong correlation with the NAO in the area where atmospheric rivers enter the Iranian atmosphere.  High-pressure centers play an important role in directing atmospheric rivers. These rivers cannot pass through high-pressure centers and typically exhibit meridional curvature at the outer borders of these centers in the Northern Hemisphere, resulting in southwest and northeast orientations. The primary moisture source for atmospheric rivers entering Iran is the Atlantic Ocean, which is further enhanced by water bodies such as the Red Sea, the Sea of Oman, the Indian Ocean, and the Persian Gulf.

Monireh Rodsarabi, Mohammad Baaghideh, Dr Alireza Entezari, Fatemeh Mayvaneh,
Volume 25, Issue 78 (9-2025)
Abstract

To assess thermal comfort conditions in classrooms, a field study was conducted in Sabzevar. The thermal sensations reported by students regarding classroom conditions were documented at various times throughout the day during the 2009–2010 academic year across multiple classes. temperature and humidity data within the classrooms were recorded simultaneous using a data logger. To analyze differences, both ANOVA and the Kruskal-Wallis test were employed. The findings indicated that the geographical orientation and floor level of the classrooms did not significantly influence temperature and humidity levels. In contrast, significant hourly variations in these parameters were observed. Overall, reports of cooling sensations were more prevalent than those of heating sensations (24% vs. 12%). Thermal sensation exhibited considerable variation across different months, with October recording the lowest frequency of thermal comfort sensations. In all months except October, students expressed a preference for "heating." Although the performance of the heating system was deemed adequate, its operational schedule should be modified to commence closer to the beginning of morning classes in order to mitigate substantial energy waste. While temperature and humidity within the classrooms did not present significant monthly variations, students' thermal sensations varied markedly between months. This suggests that thermal sensation is influenced by factors beyond mere physical characteristics (temperature and humidity). In addition to climatic parameters, individual characteristics such as sex, age, weight, height, clothing, and activity level also play a significant role in shaping perceptions of thermal comfort. 

Mrs Reyhane Salehabadi, Dr Mohammadreza Hafez Nia,
Volume 25, Issue 78 (9-2025)
Abstract

Following the victory of the Islamic Revolution, a new perspective on science and technology emerged in Iran. This scientific discourse was profoundly shaped by the principles of the Islamic Revolution and Islamic ideology, leading to the establishment of new values and objectives for the advancement of science and technology. In the post-revolutionary era, as policymakers recognized science and technology as pivotal drivers of societal progress and excellence, they devised scientific policies and strategies aimed at achieving revolutionary and Islamic ideals. This evolving attitude toward science and technology significantly influenced Iran’s scientific and technological development during this period. Given that the Islamic Republic of Iran has assumed a leading role in scientific leadership within the region since 1979, its contributions to the development of scientific capabilities under successive post-revolution governments are noteworthy. To explore this, a descriptive-analytical approach was employed, utilizing reliable data from both domestic and international sources. The research findings indicate that the prevailing discourse in different governmental periods included a focus on industrialization through import substitution and capital resource allocation (1981–1989), modernization and institutional development with an emphasis on advanced technologies (1989–1997), the promotion of advanced technologies, innovation, export expansion, and social justice centered on knowledge-based industries (1997–2005), the transition toward knowledge-based innovation in the economy (2005–2013), and the enhancement of international cooperation with an emphasis on identity and rationality in policy formulation and implementation (2013–2021). The results demonstrate that, in each phase, measures such as the expansion of higher education and scientific research, the establishment of universities and research centers, and the creation of domestic and international scientific networks were implemented in alignment with the dominant discourse. 

Faeze Shoja, Salimeh Sadeghi, Shamsipour, Eduardo Gomes,
Volume 25, Issue 78 (9-2025)
Abstract

The aim of this research is to evaluate the heat mitigation index (HMI) in the Tehran metropolitan area using the Urban Cooling Model (UCM) approach in a spatial framework. UCM produces maps of the Heat Mitigation Index. This index estimates the cooling potential of urban green spaces in a given location, taking into account various parameters such as evapotranspiration, tree shading, albedo, rural reference air temperature, urban heat island intensity, air temperature maximum blending, and maximum cooling distance. The assessment of environmental factors influencing the UCM in the study area revealed that the urban heat island effect was least intense in regions 1, 22, and the northern parts of region 4 of Tehran municipality, where there are scattered trees, shrubs, open low-rise buildings, and water bodies. The temperature differences between the city and the suburbs ranged from 0 to 1.3 degrees Celsius. However, the study area's central parts showed the highest intensity of the urban heat island, particularly in regions 21, 13, and 14. These regions have a dense and compact texture and an expansion of impervious surfaces, resulting in the lowest values of the evapotranspiration index (ranging from 0.12 to 0.45) and albedo (ranging from 0.09 to 0.16). Based on these parameters, the study area's HMI index showed that the cooling capacity varies from 0.08 in the central parts of the city to 0.9 in areas affected by green spaces and water bodies. The maximum cooling capacity index is concentrated in areas with dense and scattered tree cover in the region. On average, these areas have been able to neutralise 2.48 degrees Celsius of the urban heat island effect with a cooling capacity of 63%. The methodology employed in this research can be used as a reference for urban designers in integrating urban cooling approaches and heat island mitigation strategies in urban planning and design.

Dr Naser Shafieisabet, Masoudeh Nikoeifard, Dr Neginsadat Mirvahedi,
Volume 25, Issue 78 (9-2025)
Abstract

Villagers' self-organization, as a collaborative process, plays a fundamental role in promoting sustainable livelihoods in rural areas. This study was carried out to identify the driving forces affecting the self-organization of villagers and to improve sustainable rural livelihoods in Ashtian County, Iran. Utilizing a qualitative research design with an analytical-exploratory approach, data were gathered through semi-structured questionnaires and in-depth interviews with 30 subject matter experts. The collected qualitative data were analyzed using the Delphi method and MicMac software to identify underlying relationships and patterns among concepts. The findings indicate that the distribution of factors and variables influencing the improvement of sustainable rural livelihoods in the study area is characterized by instability. Additionally, among the 24 primary influential factors, 10 critical drivers emerged as pivotal to advancing villagers' self-organization and promoting long-term sustainability in rural livelihoods. These drivers include innovation and creativity of villagers in agricultural and non-agricultural activities, skills and experience in group activities, and the establishment of local organizations as individual factors; increasing the spirit of entrepreneurship, launching, and promoting new local businesses as psychological factors; increasing participation, cooperation, and a sense of responsibility in agricultural and non-agricultural activities as social factors; empowering villagers by increasing their awareness, social and economic skills, and leveraging new IT and ICT technologies for structural empowerment in the direction of self-organization as education and empowerment factors; access to diverse and reliable financial resources for agricultural and non-agricultural activities as economic factors; delegating authority to villagers in line with local planning and decentralization as planning and management factors; and finally, supporting the creation and development of local businesses, diversifying agricultural and non-agricultural activities, and increasing investment in innovative businesses as socio-economic support factors. These drivers collectively contribute to advancing villagers' self-organization and enhancing sustainable rural livelihoods.

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.

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.


Page 6 from 7     

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