فصلنامه تحقیقات کاربردی علوم جغرافیایی
پیاپی 77 (تابستان 1404)

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.

Climate change is a significant environmental concern due to the sensitivity of glacier melting processes and snow density to climate variations. Currently, a range of satellite sensors, including AVHRR, MODIS, GEOS, and MERIS, are employed for snow monitoring and are extensively utilized to analyze fluctuations and changes in global snow cover. The MODIS sensor is particularly favored for its extensive global spatial coverage, suitable spatial accuracy, and frequent temporal coverage across various scales. Consequently, this study utilizes snow products derived from the MODIS sensor. In this investigation, data on snow-related days from the statistical period of 1989 to 2018 were collected for three provinces: Kermanshah, Ilam, and Lorestan. This data was processed using MODIS snow cover information pertinent to the Middle Zagros region, in conjunction with remote sensing techniques. The study provides a detailed examination of snow cover changes within the specified area. The Normalized Difference Snow Index (NDSI) was employed to detect snow cover within the MODIS sensor products. To differentiate pixels and identify various phenomena, the acquired images were processed using Geographic Information Systems (GIS) technology. Analysis of seasonal snow cover changes using MODIS sensor imagery indicates a significant decreasing trend in the majority of the studied area, particularly in the elevated regions. Notably, only the western and southwestern regions of the study area exhibit no discernible decreasing trend. Furthermore, the examination of snow-covered days throughout the study period reveals a decrease in snow cover in the Middle Zagros, with these changes intensifying in recent years, especially in the snow-covered areas of the region. Changes in snow cover during the winter months, particularly in elevated areas, were observed to be more pronounced compared to other seasons and regions within the study area.

Drought is a natural hazard that annually causes significant economic, social, environmental, and life-threatening damage in vast areas of the Earth. The damages caused by this phenomenon are intangible but very extensive and costly.  In many circomstancs, modern remote sensing techniques can be a useful tool in monitoring drought due to high temporal accuracy, wide spectral coverage, ease of access, no need for atmospheric correction and ground referencing. In recent years, the province of Hamedan has faced many problems due to frequent droughts. Therefore, the present study focused on investigating and monitoring drought in Hamedan province using the Temperature Condition index and its impact on the vegetation cover of the province using Advanced Very High Resolution Radiometer (AVHRR) and National Oceanic and Atmospheric Administration (NOAA) remote sensing data. First, the relevant data was extracted from the Nova star database, and finally, the spatiotemporal behavior of the vegetation cover drought index was examined on 1528 pixels in Hamedan province. The spatial resolution of the data used in this study is 4 kilometers. First, the relevant data were extracted from the Navstar database and ultimately, the spatiotemporal behavior of the drought index and vegetation cover was examined. The results indicate that drought has significantly increased the vegetation cover of Hamedan province based on remote sensing data. Kendall's coefficients indicate the presence of decreasing trends in vegetation cover at a 95 Percent confidence level. Only in May, June, and December has there been a slight decrease in vegetation cover within the extent of drought in the province. The spatial behavior analysis of the drought index on vegetation cover showed that February, March, as well as April have experienced more severe droughts within Hamedan province.

In recent decades, one of the main challenges in studies related to regional development is the search for understanding the economic and cultural differences between the national and regional levels in order to predict the transition that will lead to regional development. One of the systems that plays an important role in regional development is the regional innovation system. To this end, the aim of the present study is to identify the key drivers of regional innovation in the Tabriz metropolis. In this regard, the study is applied in terms of purpose and descriptive-analytical in nature. Two library and field methods were used to collect the required information. The statistical population of the study includes 32 qualified individuals in the industry, university, and government sectors who were selected as purposive sampling. The data were also collected from the Miqmac software for analysis. The research findings show that out of a total of 71 influential factors, 13 factors include an appropriate productivity culture, laws and regulations, the existence of a teamwork culture between activists and established industry units, information and communication technology infrastructure, sufficient funding for university research infrastructure, higher education, patent programs, higher education policy, performance evaluation and payment system, financial support, a special and flexible tax system for research and development, and research centers.

Water is a strategic and scarce resource that has become increasingly limited in recent years due to a variety of national and transnational factors, significantly impacting security, stability, development, and prosperity in various countries. The profound influence of water on these domains has positioned it at the forefront of the foreign policy and hydropolitical relations of numerous nations, including those in South West Asia. In recent years, despite the prominence of the water crisis and its implications for the relations between Iran and Iraq within scholarly, political, and media discussions, the complexities of this issue remain poorly understood, leading to disparate interpretations. The current research, which is exploratory in nature, utilized library methods for data collection with the aim of achieving a qualitative understanding of the multifaceted hydropolitical relations between Iran and Iraq. This study not only seeks to identify the content and methodological characteristics of existing literature but also aims to uncover research gaps in this field employing a qualitative meta-analysis approach. Through this method, the research examined 34 studies published between 2014 and 2023, including domestic scientific articles, theses, and contributions to reputable international journals. The findings indicate that a comprehensive analysis of the various dimensions of hydropolitical relations between Iran and Iraq has yet to be undertaken. In this context, the absence of accurate and reliable data, alongside the inadequacy of theoretical and cognitive frameworks, represents significant deficiencies in the existing research on the bilateral relations of these two countries.

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.

Beauty is among the most sublime human needs. Since the time humans began building cities, they have paid attention to the sense of aesthetics. The purpose of this research is to conduct a comparative evaluation of two neighborhoods, Golestan and Moradab, as the two most well-off and least well-off neighborhoods in Karaj city, in terms of the aesthetic indicators of urban space. The research method is descriptive-analytical and data collection on 14 selected components related to the aesthetics of the urban environment was carried out by direct observation and using an evaluation checklist. Descriptive statistics parameters were used to analyze and compare the aesthetic level of the two neighborhoods, and zoning maps were drawn in the geographic information system and calculations and analysis were performed on the relevant descriptive tables to analyze spatial inequalities. Considering the evaluation of the indicators in the range of 1-10 points and assigning a higher point to a higher level of aesthetics, the findings showed that the average figure of the total indicators in Golestan neighborhood is 6.31 and in Moradab neighborhood is 2.57. Also, in Golestan neighborhood, the median figure is 6.43 and the first quartile figure is 4, while in Moradab neighborhood these figures are 1.78 and 1, respectively. Spatial analysis of the zoning map showed that in Golestan neighborhood, in terms of total indicators, there are no areas that are at the "very low" and "low" levels in terms of aesthetics, while in Mardab neighborhood, there are no areas at the "high" and "medium-high" levels. It can be concluded that Golestan neighborhood is at a high level in terms of aesthetic indicators and there is a lot of spatial inequality within and between the two studied neighborhoods.

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.

Urbanization and the increase in urban populations, resulting from both natural population growth and rural-to-urban migration, have led to the concentration of significant material and spiritual human capital within urban settlements. Concurrently, various natural and human-induced crises pose threats to these capitals. Urban management has initiated a range of programs to address these crises, with a contemporary focus on enhancing the resilience of cities. The concept of resilience can be examined across various dimensions, including physical, economic, social, and environmental aspects.
The present study adopts a descriptive-analytical approach with the objective of assessing the physical resilience of metropolitan areas in Tabriz and determining their status relative to one another. To achieve this goal, multi-criteria decision-making methods (MADM) and the Analytic Hierarchy Process (AHP) have been employed. Additionally, three models—Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VIKOR, and Complex Proportional Assessment (COPRAS)—have been utilized to rank the regions in terms of physical resilience. Ultimately, the Copeland model was applied to integrate the results from the aforementioned models. The findings indicate that regions 2, 8, and 9 collectively exhibit the highest levels of physical resilience, followed by regions 1, 10, 3, 7, 5, 4, and, lastly, region 6, respectively.

This study investigates the impact of the OLR MJO Index (OMI) and the Real-time Multivariate MJO (RMM) of the Madden-Julian Oscillation on the frequency of dust storms in the stations of Abadan, Ahvaz, Bostan, Bandar Mahshahr, Dezful, Ramhormoz, and Masjed Soleiman, located in Khuzestan province, during the period from April to September 1987-2021. Pearson correlation coefficients were computed to assess the relationship between dust data and the indices, and the findings were depicted through zoning maps. Subsequently, the frequency percentage of each index for both positive and negative phases was quantified. The results indicate a direct and significant correlation between the positive and negative phases of the indices and dust occurrences (with the exception of Dezful station), particularly during the positive phase of the OMI and the negative phase of the RMM. The highest correlation coefficients, ranging from 0.77 to 0.72, were observed for Bandar Mahshahr and Dezful stationsduring the positive phase of the RMM index. Analysis of the relationship between the Madden-Julian Oscillation and dust storms revealed that between 51% and 59% of dust storms in Khuzestan province occurred in the negative phase of the OMI index, while 40% to 49% occurred in the positive phase. In the case of the RMM index, 56% to 63% of dust storms were associated with its negative phase, in contrast to 37% to 50% linked to its positive phase. Notably, the negative phase of the RMM index exhibited a higher percentage of dust storms compared to the negative phase of the OMI index. According to the results of the Monte Carlo test, the displacement of the positive and negative phases of the RMM index significantly contributes to the occurrence of dust storms at most stations in Khuzestan province. Furthermore, tracking the pathways of dust entering Khuzestan province using the HYSPLIT model indicates the movement of particles originating from Iraq, Arabia, and the eastern regions of Syria toward Khuzestan province..

Geotourism is one of the important types of ecotourism with a responsible and conservation-oriented approach that emphasizes the popularization of earth sciences and the cultural, social, and economic development of the local community. In order to evaluate and explain the geotourism conditions of a region and the capabilities of a destination to become a geopark, it is necessary to present and explain the optimal and desirable model for the development of geotourism destinations. Firouzkouh County, with its numerous earth heritage assets, is considered one of the areas susceptible to geotourism. Given the high potential of geotourism for development as a geopark and the lack of necessary utilization of these capabilities in the development of the county, it is necessary to present an optimal model for analyzing the development of geopark capabilities in the county. In this research, through library and survey methods and using geotourism evaluation methods including the Facilas method, the GAM method, and the terrestrial diversity sites method, the county's geosites were evaluated and analyzed from the perspective of different values. The results show that most of the geosites in the region, despite their high representation, educational potential, and aesthetic value, have a weak connection with the local community, and their vulnerability and risk of extinction are increasing. Also, from the perspective of assessing the geopark capabilities, it was determined that this county currently does not have the capability to become an independent geopark. Accordingly, a model for developing the county's capability to become a geopark has been presented, which mainly emphasizes participatory management, entrepreneurship, multipurpose tourists, and geotourism typology, etc.

The intermediate development approach posits that vacant lands and the deteriorating structures within urban areas should be prioritized for development rather than expanding into the periphery of cities currently under construction. Acknowledging this significance, the present article endeavors to identify and prioritize the barriers to intermediate development in Zabol, utilizing Chang's technique. This applied study employs a descriptive-analytical research methodology, incorporating both library research and survey research (field studies) for data collection. The statistical population for identifying the obstacles to intermediate development comprised all residents of Zabol city in 2023. The sample size was calculated to be 384 using Cochran's formula, and a purposive sampling method was employed to gather the data. The reliability of the research instrument was assessed using Cronbach's alpha coefficient, yielding a value of 0.80. The identification of obstacles was conducted through a sample t-test in SPSS, followed by the prioritization of the identified barriers. Data were collected from existing information about the city and through a questionnaire distributed to 20 relevant experts. Subsequently, the data were analyzed using Chang's technique (AHP-FUZZY). The findings indicated that the most significant obstacle to the implementation of the intermediate development plan for Zabol city is the economic index, which received a final weight of 483.

Given the recent challenges faced by urban and rural areas in Iran, it is anticipated that these regions will encounter significant uncertainties and critical issues in the coming years. Addressing land use and mitigating the challenges associated with urban and rural development necessitates a thorough identification of these issues, followed by strategic planning aimed at alleviating their impact. This research adopts a futuristic perspective and employs a qualitative-descriptive methodology to investigate these matters. To achieve the research objectives, an extensive review of relevant literature and library studies was conducted, supplemented by consultations with 70 experts across various domains. This process facilitated the identification of the primary challenges related to urban and rural development and land use within the context of Iran in the year 1420 (Islamic calendar). Subsequently, qualitative analysis was utilized to develop strategic scenarios aimed at addressing the identified challenges in the country’s future trajectory. The findings reveal that Iran will likely experience sudden disruptions and heightened uncertainties, compounded by economic, social, political, environmental, demographic, geopolitical, and climate-related factors, as well as issues related to cyberspace and increasing inequalities. Furthermore, there are unanticipated and unaddressed threats on the horizon. In response to these challenges, twenty future scenarios were devised, designed to confront the macro-level issues highlighted in the research, while also challenging current assumptions and posing critical questions regarding the nation's future. These scenarios provide strategic insights into how Iran can prepare to meet the evolving needs of its urban and rural communities as the country approaches the year 1420, in light of a dynamic and uncertain future.

As cities develop and expand, their encounters with various topographic and geomorphological units and related issues increase. Geomorphological units are always related to the dynamics and dynamism of the natural environment, and any action taken in the direction of the development and construction of cities in some way intersects with the aforementioned dynamics and dynamism and, as a result, with morphological phenomena. In this encounter, if some essential principles and points are not observed, the morphodynamic balance of the environment will be disrupted and major risks will threaten the majority of urban equipment and facilities. The purpose of the present study is to investigate the role of unevenness in coastal city planning by comparing the two analytical hierarchy process methods, AHP and AHP FUZZY, in the city of Noor. The research method is descriptive, analytical and field-based in terms of applied and developmental purpose and in terms of data collection, in which the researcher-made questionnaire was used as a tool. The result of the sensitivity analysis showed that AHP is sensitive to uncertainty in the decision model; However, the comparative analysis shows that the differences between the criteria rankings in the two models do not necessarily result in the selection of different options (as focal points), but rather differences in the spatial extent of the selected options are more important. The findings provide a new direction for the selection of MCDM methods for urban planning. If the planning objective is to identify priority areas for development as focal points, then simpler MCDM methods such as AHP should suffice; but in more detailed planning where the identification of spatial boundaries is required (such as determining the master plan), a multiple approach using two or more MCDM techniques would be ideal.

Earthquake resilience, defined as the capacity of societies—including social, economic, institutional, geographical, and other dimensions—to withstand and recover from seismic events, is a critical issue that demands attention across various societal contexts. It is essential to acknowledge that attitudes toward resilience and the analytical frameworks employed to assess it significantly influence both the understanding of underlying causes of resilience and the formulation of policies aimed at risk reduction and management. The objective of this study is to evaluate and rank the earthquake resilience of new urban developments within the Isfahan Metropolitan area through the utilization of a combined index. Given the nature of the subject matter, the research adopts a descriptive-analytical approach. The study's statistical population comprises six new urban developments: Shahin Shahr, Majlesi, Sepahan Shahr, Foolad Shahr, Baharestan, and Shahid Keshvari. This research is characterized as applied in nature, and information for the literature review was gathered through library research methods. According to the results derived from the Potentially Optimal Solutions Evaluation Technique (POSET) analysis, the rankings of the urban developments based on the combined index of resilience to earthquake risk are as follows: Majlesi (3), Baharestan (6), Foolad Shahr (7), Sepahan Shahr (8), Shahin Shahr (11), and Shahid Keshvari (14). Consequently, to mitigate the adverse effects of earthquakes on communities, it is imperative to consider the unique capacities of each urban development, thereby reducing potential human and financial losses resulting from such events.

The design of the work environment is directly linked to variations in construction performance. Factors that are not adequately considered in the design of the work environment may hinder the proper execution of administrative tasks, consequently leading to a decline in administrative productivity. The environmental characteristics of workspaces and their effects on employees are of particular significance. Furthermore, to enhance productivity within an organization, several conditions must be established, with the human factor being paramount; a motivated workforce is crucial for optimal performance. The primary objective of this research is to elucidate the optimal design model for municipal administrative spaces, with an existential approach influenced by the geography of Shahrekord. In this context, the research investigates the question of what constitutes the optimal model for designing municipal office spaces, informed by an existential perspective and geographical considerations unique to Shahrekord. The research employs a "descriptive-analytical" method for the theoretical foundation and a "survey method" for the presentation of findings. The environmental variables of office spaces, aligned with indicators of existential psychology, were assessed through a structured questionnaire. Upon completion of the questionnaires by the study participants, the collected data were analyzed using Amos and SPSS analytical software. The findings of this research regarding office buildings indicate that the most significant environmental parameters affecting human resource performance in office settings include color, lighting, noise pollution levels, visibility and scenery, indoor air quality, and thermal comfort. Additionally, factors such as design, flexibility, communication, workspace arrangement, furniture, and humidity can be categorized into two groups: psychological and physical components.

The objective of this research is to investigate the factors that enhance the attractiveness of tourism destinations in Tehran. This study is applied in nature and employs a descriptive-analytical methodology. The data collection methods include the use of questionnaires and interviews. The statistical population comprises tourism experts and specialists, and through the application of Cochran's formula and simple random sampling, a sample of 210 tourism experts was selected. Data analysis was performed utilizing descriptive statistics and logistic regression tests.  The findings of the research reveal that, out of the 210 tourism professionals in Tehran, 91 individuals, representing 43.3%, perceived the attractiveness of Tehran's tourism destinations to be at a high level; 29% assessed it as moderate; and only 27% regarded it as low. Furthermore, the results concerning the factors influencing the enhancement of attractiveness in alignment with tourism development indicate that, among the four factors considered, the most significant were: 1) innovative business opportunities, with an impact coefficient of 0.613; 2) the city's natural, cultural, and historical assets, with an impact coefficient of 0.577; 3) the development of tourism infrastructure, with an impact coefficient of 0.497; and 4) urban development, with an impact coefficient of 0.473.

The effectiveness of urban management plays a crucial role in the sustainable development of cities from various perspectives. A significant and influential dimension of urban management is the quality of life experienced by citizens across different neighborhoods. The enhancement of quality of life through management performance can be achieved via citizen participation, service provision, and transparency, among other factors. Consequently, this study aims to assess the impact of urban management performance on the quality of life in informal settlements within Miandoab City. The research employed a descriptive-analytical methodology, utilizing field data collected through a structured questionnaire. The validity of the questionnaire was established, and its reliability was determined using Cronbach's alpha, which yielded a value greater than 0.79. The study's statistical population encompassed 11,545 residents living in 10 informal settlements in Miandoab City. Utilizing Cochran's formula, a sample size of 313 was determined. The results indicated that the urban management index was statistically significant, with a p-value of 0.000, which is less than the threshold of 0.05. The average difference was calculated at -1.403, and the T-statistic was -54.8568, confirming that the urban management index for informal settlements in Miandoab is deficient. Furthermore, the regression model demonstrated that the urban management index, comprising five variables, has a coefficient of 0.901, indicating a 90% efficacy in enhancing the quality of life in informal settlements.  Among the variables, the participation variable, with a coefficient of 0.231, accounted for 23% of the variation in the quality of life in neighborhoods. The urban facilities and infrastructure variable predicted 21% of the quality of life, while the financing, provision of municipal services, and environmental cleanliness and hygiene variables contributed 16%, 18%, and 11%, respectively, to the improvement of quality of life in informal neighborhoods.

In the process of urban space creation, there exists a continuous exchange of ideas concerning the current state of that space and the desired conditions as articulated by its inhabitants. Improvements in the challenging realities of urban environments are often manifested through physical changes, one of which is urban regeneration. Given the proliferation of urban regeneration projects in recent decades, it is imperative to consider the social dimensions inherent in these initiatives. In this context, social capital, recognized as a significant social asset within neighborhoods, has assumed particular importance in the discourse surrounding regeneration. This research examines the role of social capital in the regeneration of urban neighborhoods, with a specific focus on the Islamabad Karaj neighborhood. The methodological approach employed in this investigation is descriptive-analytical. The primary objective of this study is to analyze the influence of social capital on the regeneration processes within the Islamabad Karaj neighborhood as perceived by its residents. Data collection for the theoretical framework was conducted using documentary analysis, while the empirical component involved a survey utilizing a questionnaire. The statistical population comprises individuals aged 15 years and older residing in a neighborhood of over 25,000 inhabitants, from which a sample of 410 respondents was selected through simple random sampling, employing Cochran's formula. For data analysis, Spearman's correlation coefficient and multiple linear regression analyses were conducted using SPSS software. The findings indicate a strong correlation between social capital and urban regeneration within the Karaj neighborhood of Islamabad. The implications of this research highlight the necessity to focus on the components of social capital and to implement policies aimed at its maintenance and enhancement to facilitate successful urban regeneration in the Islamabad Karaj neighborhood.

One area of activity that receives considerable attention in municipalities, particularly in metropolitan regions, is the management of properties assigned to municipalities for the implementation of detailed plans, comprehensive urban development strategies, and revitalization and renovation initiatives for deteriorated areas. Annually, municipalities engage in the construction or enhancement of road infrastructure and the establishment of recreational and cultural facilities in alignment with urban development and city expansion objectives. The objective of this research is to elucidate the legal issues associated with property ownership in deteriorated areas of historical significance as managed by the municipality of Sari. This study adopts a descriptive-analytical framework, employing an applied-developmental research approach grounded in survey and field methodologies. The data collection strategy utilized in this research comprises library research, document analysis, and field surveys, employing questionnaires administered to a sample of 384 citizens of Sari. Data analysis in this study employs chi-square statistical techniques using SPSS software. The findings reveal that the primary organizational challenges encountered by the municipality in terms of property ownership in deteriorated areas of Sari include insufficient awareness of laws and legal procedures, lack of coordination in implementation processes, failure to regularly update property pricing tariffs, delayed and unplanned project execution, and the absence of legal analyses in project preparation. Consequently, the municipality of Sari should prioritize the enhancement of its internal structure and operational performance, addressing identified weaknesses and fostering structural and functional coherence in property ownership as part of revitalization plans for deteriorated areas, rather than concentrating exclusively on external and inter-organizational dimensions.

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.

The coronavirus pandemic has brought many challenges to countries around the world, and the tourism industry has not been left out. To address these challenges in the tourism industry, recovery and adaptation measures are a topic that requires more attention. The aim of the present study is to examine the measures to revive and recover urban and rural tourism in the post-corona era. The present study is applied in terms of its purpose and its method is mixed (qualitative and quantitative). The data and information collection tool is exploratory and in-depth interviews. The statistical population of the study is experts and specialists in the field of tourism, who conducted 50 in-depth interviews using non-probability sampling and purposefully. The qualitative method of grand theory, Strauss and Corbin method, was used to analyze the information. According to the experts, 32 concepts were identified for the revival and recovery of urban and rural tourism in the post-corona era; of these 32 indicators, 6 indicators were related to rural tourism, 6 measures to urban tourism, and 20 indicators to tourism of both urban and rural destinations. The effect of 2 indicators was also described as insignificant. The results showed that; compensation for tourism losses, prevention and control of the coronavirus pandemic, smart tourism, tax exemption and subsidy, revival of the tourism market, construction of quality tourism places, safety of accommodation and hospitality, improvement of health facilities, ensuring the safety of international tourism, restoring the trust of travelers, providing clear information to travelers, strengthening cooperation within and between countries, are the most important measures for the revival and recovery of urban and rural tourism. The results of this research can also be used to revive and recover urban and rural tourism in the post-corona era in other parts of the country.

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.

A sense of belonging to an environment is an emotional connection that takes place between people and the external environment. Many studies have shown that the existence of this connection and its deepening between the person and the environment has a significant role in promoting the physical environment and the emergence of positive social behaviors. Therefore, recognizing the sense of belonging and the factors affecting it and ways to improve it is one of the issues that can lead to the improvement of living conditions and physical environment. Among the many factors that affect the sense of belonging, the time factor as one of these factors can be effective from two perspectives; Duration of residence and age of the environment. In this study, while researching the effect of each of these factors on the sense of belonging of residents, a comparison between these two factors and the intensity of the effect of each on the sense of belonging has been done. The present study is applied in terms of purpose and descriptive-analytical in terms of method. In order to collect the required data and information, library and field methods and questionnaire tools were used. The statistical population of the study consists of citizens living in the six studied neighborhoods in Zanjan. The sample size was estimated to be 300 people using the Cochran's formula. SPSS software was used to analyze the data. The results showed that the sense of belonging in the study areas is moderate to low. The results also showed that the duration of residence and the age of the environment have a positive and significant effect on the sense of spatial belonging and its components. Among the variables, the effect of the environment variable on the sense of spatial belonging is greater than the length of stay, so that the age of the environment predicts 27.1% of the variance of the variable of spatial belonging.

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).