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Economic growth and development over the past two decades in developing countries have clearly demonstrated the many effects of financial market cycles on economic activities in these countries. Instability and change in financial markets shape financial cycles, which in turn disrupt economic activities and reduce the economic growth of countries. Therefore, given the importance of the effects of financial cycles on economic growth, the aim of this study is to analyze and investigate the effects of asymmetric financial cycles on economic growth in Iraq.

The present study analyzes and investigates the short-term and long-term effects of asymmetric financial cycles on economic growth in Iraq during the period 1990-2023 in the form of econometric models and methods. For this purpose, the autoregressive model with asymmetric distribution lag (NARDL) is used. This model is an extended form of the autoregressive distribution lag (ARDL) model.

The results showed that in the long run, positive financial cycles have a positive and significant effect and negative financial cycles have a negative and significant effect on Iraq's economic growth. Also, foreign trade, exchange rate, active labor force, physical capital and foreign direct investment have a positive and significant effect, and oil revenues have a negative and significant effect on Iraq's economic growth. The explanatory and control variables (asymmetric financial cycles, foreign trade, exchange rate, physical capital, active labor force, foreign direct investment and oil revenues) also explain and show 75 percent of the changes in the target variable (Iraqi economic growth).

Given that financial cycles and foreign trade have the greatest impact on economic growth in the short and long run, therefore, monitoring credit expansion through macroprudential policies is essential to maintain financial stability in this country. Also, the Iraqi government can lead to increased economic growth by gradually creating conditions and establishing appropriate and necessary laws and regulations to expand commercial freedom and increase trade.

Participatory urban planning aims to increase citizen involvement in urban decision-making and requires tools for analyzing vast amounts of textual data. This study investigates the application of Natural Language Processing (NLP) in analyzing citizens' opinions regarding urban development plans.

Using content analysis methods and machine learning algorithms, opinions collected from social media platforms were analyzed. The results indicated that NLP can accurately identify sentiments, main topics, and patterns present in citizens' comments.

These findings suggest that NLP can serve as a powerful tool to enhance the decision-making process in urban planning. However, limitations such as informal language and the presence of specialized terminology in comments indicate a need for further development of NLP models.

Floods are one of the natural phenomena that can cause significant damage to infrastructure, farmlands, and the environment. This phenomenon primarily occurs due to heavy rainfall, snowmelt, or a combination of these factors. Therefore, the aim of this study is to map flood hazard zones and examine their relationship with land use using the Analytic Network Process (ANP) model in the Razi Chay watershed in Ardabil Province.

In this study, data from Landsat 8 satellite imagery from 2022, a 30-meter ASTER DEM map, a 1:50,000 scale topographic map, a 1:250,000 scale geological map, and other detailed information of the studied watershed were utilized. Ten parameters influencing flood occurrence were analyzed, including elevation, slope, slope aspect, vegetation cover, geological formations, distance from the river, flow direction, land use, precipitation, and drainage density. The Analytic Network Process (ANP) model was employed to determine the importance of each variable.

Among the studied parameters, slope (with a weight of 30%), elevation (with a weight of 21%), and land use (with a weight of 17%) were assigned the highest weights, indicating their significant influence in controlling flood occurrence in the Razi Chay watershed. The results show that approximately 36% of the Razi Chay watershed falls within high-risk and very high-risk zones. These areas are typically located in the lower part of the watershed, often at the confluence of the two main streams. Considering the spatial distribution of settlements in the region, it can be concluded that most of the settlements in the lower part of the watershed are exposed to flood risks

Geotourism is a branch of tourism knowledge that focuses on the behavior of land surface systems or geomorphosites and attempts to identify, protect, and exploit the tourism-conservation values ​​of dominant forms and processes in a place. The purpose of this research is to evaluate and analyze the competitiveness of geotourism and geomorphological potentials of Gilan Province (Case Study: Masal Township, Olsbelengah, Shanderman).

The present study is applied in terms of descriptive-analytical purpose, and Pavlova, Kobalikova, and Feyolt geotourism models were used to evaluate the study areas. The Pavlova model evaluates the competitiveness of the studied regions and is based on the formation of positive and negative factors and their related calculations. The Kobalikova model, which emphasizes more on scientific, educational, economic, conservation and additional criteria, and finally the Feuillet model, which examines geotourism regions based on four criteria of origin, geographical distribution, tourism and accessibility.

Based on the results of the Pavlova model in the positive competitiveness factor, Masal Township has high competitiveness in the region by obtaining the highest scores in the sub-indices of natural wealth (4.9) and protected areas (4.54). Also, in the negative competitiveness factor, the Shanderman district has the highest score in the sub-index of lack of appropriate infrastructure in the region with a value of 4.33, indicating the weakness of the region in this regard. Also, according to the results obtained from the Kobalikova model, Masal Township has the highest geotourism value in the region with a score of (7.08). Also, the results obtained from the Violet model show that Masal Township is in a favorable situation in terms of management and tourism in the region with a score of (5.04). Therefore, it is concluded that this region has high potentials and capabilities for tourism and geotourism and is ranked first in terms of competitiveness at the provincial level

Public spaces are the most important part of the structure of cities and play an important role in the health and quality of life of citizens. In the meantime, urban sidewalks are known as the most important public areas of a city and have a significant impact on improving urban vitality indicators among citizens in a space and even in the entire city. Vitality and dynamism are important elements in the qualitative assessment of public spaces. Vitality itself is a reflection of the activities that take place in the space, and making cities pedestrian-oriented is a way to facilitate and encourage activities that can help promote vitality in cities. In this regard, the aim of this research is to answer the following questions at the core of the work. 1- What are the factors affecting the vitality of the Ferdowsi sidewalk? 2- What is the order of citizens' priority of the factors affecting the vitality of this sidewalk? 3- What is the status of the vitality of this Ferdowsi sidewalk from the perspective of citizens?Research

The present study was conducted with the aim of investigating the factors affecting the vitality of the Ferdowsi sidewalk in Sanandaj city. This is a descriptive-analytical study. The variables of sidewalk vitality were identified and, from the literature review, related studies were designed in the form of a questionnaire in the form of a Likert scale (five options) and completed by 100 users of Ferdowsi sidewalk in Sanandaj city. The data were analyzed using Spss software. The statistical population of this study included residents of Sanandaj city who used Ferdowsi sidewalk between September and October 1403. Due to the fact that the aforementioned statistical population was not concentrated in a specific location, convenience sampling was used and the sample size was 100 of the aforementioned pedestrians.

The effective components of the vitality of the sidewalks were introduced in the form of 12 components, and the factor loadings and Cronbach's alpha coefficient of the vitality factors of the Ferdowsi sidewalk were the highest factor loading of 0.81 related to the component of holding social events during the year and the lowest factor loading of 0.59 related to the component of night activities.

12 components were examined in this study that should be significantly prioritized in the optimal design of sidewalks in order to increase vitality. In the studies conducted, the effective factors in the vitality of the Ferdowsi sidewalk are the "accessibility-spatial" factor with a correlation coefficient of 0.94, "functional-environmental" with a correlation coefficient of 0.92, and "social-cultural" with a correlation coefficient of 0.88, respectively. In examining the level of satisfaction of citizens with the vitality factors of the sidewalk, the highest level of satisfaction was with the "accessibility-spatial" factor with an average of 3.85, and the lowest level of satisfaction was with the "social-cultural" factor with an average of 3.61. The average satisfaction with the vitality of the Ferdowsi sidewalk is 3.70, which is average.

Vernacular passive cooling systems play a crucial role in maintaining thermal comfort in traditional Iranian houses, especially in hot and dry climates. This study aims to assess the efficiency of these systems through quantitative and qualitative analysis to identify their strengths and weaknesses and propose improvements. 

This research was conducted as a case study in Iran's hot and dry regions. Data collected included field observations, interviews with residents, and previous studies. Quantitative and qualitative analytical methods were used to evaluate the thermal efficiency and other related aspects of passive cooling systems. 

 This study shows that vernacular passive cooling systems in traditional houses in hot and dry climates can provide thermal comfort but require improvements to compete with modern systems. The widespread use of evaporative coolers indicates that passive systems need to be more efficient. It is recommended that further research be conducted to optimize and enhance the performance of these systems to play a more effective role in providing thermal comfort and reducing energy consumption.1. Thermal Comfort Temperature: The thermal comfort survey identified a neutral temperature of 28°C and a comfort range between 25°C and 30°C for residents of traditional courtyard houses in Iran's hot and dry climate.2. Capability of Passive Systems: Traditional houses cannot maintain thermal comfort throughout a hot summer day unless in their basements. However, these buildings can significantly reduce spatial cooling needs through the use of vernacular passive cooling measures, minimizing reliance on conventional cooling systems.3. Climate Responsiveness: Traditional buildings are highly responsive to the climate, capable of reducing peak electricity demand, compensating for mechanical coolers with free cooling, and maintaining adequate comfort conditions.Spatial Diversity: The variety of spaces and temperature differences in traditional houses offer residents choices and adaptability, enabling them to select and acclimate to different environments based on their preferences.

Parks and public green spaces are part of the ecological fabric of cities to the extent that the environmental life and sustainability of cities depend on them. This study aims to assess the level of satisfaction of women with women's parks. For this purpose, Pardis Women's Park and Shahed Women's Park in Kermanshah were selected. The better design of green space in women's parks leads to attendance, promotion of social interactions, reduction of depression, and ultimately their satisfaction with this space. The aim of the present study is to assess the level of satisfaction of citizens with the quality of urban parks in Kermanshah.

The effective components in their satisfaction were identified and a researcher-made questionnaire was developed from the review of texts, related studies, and expert opinions. It was designed with the approval of relevant experts in the form of a Likert scale (five options) and completed by 400 women from Pardis Women's Park and Shahed Women's Park in Kermanshah. The data were analyzed using Spss software. The statistical population of this study includes all women visiting Pardis and Shahed Parks during the period from June to January 1403.

The effective components of green space in urban women's parks were introduced in the form of 23 components, with the average satisfaction level of women in Pardis Women's Park being 3.43 and Shahed Women's Park being 3.07, meaning that women's satisfaction level with Pardis Women's Park is higher than Shahed Women's Park. The frequency distribution of interests of the studied individuals showed that 30.0 percent of women were interested in green space and 24.5 percent of women were interested in sports.

23 components were examined in this study, which should be significantly prioritized in the optimal design of green space in urban parks to increase their satisfaction.

Urban spaces play a significant role in shaping social interactions and strengthening ethnic and religious cohesion. Urmia, with its extensive ethnic and religious diversity, provides an appropriate context for studying these interactions. This research aims to examine the role of spatial patterns in social interactions and ethnic and religious cohesion in the neighborhoods of Delgosha, Eqbal, and Mahdi-al-Qadam (adjacent to Imam Khomeini Street). The theoretical framework of this study is based on Christopher Alexander's Theory of Living Spaces.

This study employed a mixed-methods approach (qualitative-quantitative). The statistical population included residents of the Delgosha, Eqbal, and Mahdi-al-Qadam neighborhoods, selected using a random cluster sampling method. Qualitative data were collected through semi-structured interviews with 30 residents and field observations. Quantitative data were gathered using a questionnaire distributed among 200 residents. Data analysis was conducted using Pearson's correlation coefficient and Analysis of Variance (ANOVA).

The results indicated that the spatial and physical characteristics of these neighborhoods significantly influence social interactions. Pearson's correlation coefficient (0.68) suggested a positive relationship between access to public spaces and the level of social interactions. ANOVA results showed a significant difference among the studied neighborhoods (p < 0.05), with the Eqbal neighborhood characterized by diverse ethnic composition exhibiting the highest level of social interactions. Furthermore, 85% of respondents believed that the existing spatial design contributes to strengthening social relationships, while 15% identified factors such as traffic congestion and reduced green spaces as barriers to interaction. The findings of this study emphasize that proper urban space design can lead to increased social interactions, ethnic and religious cohesion, and a strengthened sense of social belonging in multi-ethnic communities like Urmia. In this regard, attention to spatial patterns aligned with the cultural and social characteristics of residents holds particular importance.

Heritage concepts with an emphasis on identity reflect the material and non-material lives of societies. Therefore, expanding the scope of tourism, as a field of study, reflects an increasing role in the protection of heritage in parallel with the documentation of museums. In the meantime, the tourism industry's development in the heritage field and economic growth are concerned with protecting cultural resources.

Thus, investigating the synergy of the tourism industry and intangible heritage will prevent the orientation of passive criteria. Therefore, the present study, to answer the question "What is the synergy effect of intangible heritage and tourism industry on sustainable development?", extracted the development criteria in the House of Museums of the World Heritage Protected Area of Tabriz Historical Bazaar, to explain the insights in acknowledging the relationship between these two articles, from library studies and historical documents approved by experts and specialists of the Cultural Heritage Organization of West Azerbaijan Province. Also, in terms of answering the question "How important are the tourists' experiences of the Tabriz Museum House in the development of tourism?", to measure the visitors' satisfaction with the quality of the infrastructure and resources available in the 8 houses of the museum in the historical area of the case study, structured questionnaires were distributed among 78 tourists on a five-point Likert scale.

In the integration of the extracted components and analysis of SPSS software with T-test, it was found that if the managers and stakeholders in the field of cultural heritage have a combined attitude towards the synergistic categories of tourism industry and intangible heritage, the procedure of conservation and transfer of intangible cultural heritage in the houses of museums in the study area will be improved.

Geotourism is tourism based on geological features. Over time, it has been described as a different type of tourism that has a geological or geographical orientation. While the initial view was based on the assumption that geotourism is a type of tourism similar to ecotourism, the purpose of this study is to evaluate the geotourism capabilities of Nir County using the Kobalikova, Violet, and Zeros models.

The present research method is descriptive, analytical, and comparative. In this study, three geotourism models, Kobalikova, Violet, and Zeros, were used. The aforementioned models have several indicators that, in addition to geological-geomorphological aspects, also consider other factors such as cultural-historical monuments, access, management, and vulnerability.

The results of the evaluation of the Kobalikva geotourism model showed that the Bolaglar geotourism area, with a maximum score of 10, is one of the most desirable places in Nir County, which has great potential for attracting tourism. The Sain and Saqezchi axes are in the next ranks. The results of the Violet model also showed that in terms of management rate and tourism rate, the Bolaglar region has the highest geotourism potential, with a score of 2.5. The results of the Zeros model also showed that the Bolaglar geotourism area is in the first place with a score of 79, and the Sain and Saqezchi axes are in the next ranks, respectively, with scores of 72 and 52. The evaluation of the geotourism axes using the aforementioned models showed that the Bolaglar region has higher geotourism potential for several reasons. In this context, we can mention geomorphological diversity (geodiversity), the presence of numerous hot springs, beautiful and lush nature, proximity to the Nirchai and Balikhlochai rivers, proximity to the city of Nir, easier access, the presence of cultural-historical monuments, the display of local traditions through numerous festivals, favorable access to the Sabalan ranges, and similar cases.Therefore, it is concluded that the Bulaghlar geotourism area has a suitable capacity to attract tourists in Nir County. This is while a multidimensional look at the geotourism industry with a conservation approach along with the development of infrastructure and infrastructure facilities can significantly develop the tourism industry and transform the economy of the region. Finally, it is suggested that artificial intelligence be used in future studies to evaluate the studied areas.

New Urbanism emerged as an architectural and urban planning movement in the late 20th century, in response to the uncontrolled growth of cities and suburbanization. Inspired by traditional and historical cities, this approach seeks to create pedestrian-oriented cities with a strong sense of social belonging. This approach emphasizes the creation of cities with a human scale; this means that buildings and public spaces should be designed in such a way that they are compatible with human needs and dimensions. On the other hand, this approach seeks to create a variety of uses and a suitable mix between them. Meanwhile, attention to sustainable transport, preservation and strengthening of green and public spaces, quality urban architecture and design, neighborhood unit and pedestrianism are other principles of the New Urbanism approach. Considering that this approach is considered as an effective approach in urban development in many developing countries such as Iran, the aim of the present study is to evaluate and compare urban neighborhoods in order to investigate the extent of their compliance with the principles of New Urbanism. The case study of the research is the city of Semnan, which consists of three districts, and one neighborhood from each of the districts will be studied.

The research approach used is descriptive-analytical and the data used in it are obtained through the review of upstream documents, field studies, questionnaires and the comprehensive plan of Semnan. Considering the examination of 10 indicators of the New Urbanism approach in three different neighborhoods, different techniques such as Simpson's homogeneity coefficient, walk score, statistical tests and multi-criteria decision-making methods have been used to measure each of the indicators.

The results of the research show that Golshahr neighborhood, which experienced the most physical development during the second Pahlavi period, has a more appropriate adaptation to the principles of New Urbanism, and after that, Modiran and Pachnar neighborhoods are ranked next, respectively.

Seismicity is a measure that encompasses the occurrence, mechanisms, and magnitude of earthquakes in a given geographical location. Thus, it summarizes the seismic activity of a region. Based on geological evidence and recorded earthquakes, the study area is considered one of the active and seismic zones in Iran. Therefore, knowledge of the seismic potential of the region is necessary to prevent unprincipled construction in the study area. The purpose of the present study is to evaluate the seismic potential of faults in the Balharud-Garmi basin.

In this study, ArcGIS software was used to draw maps and analyze them. First, using the 1:100,000 geological map of the Geology and Mineral Exploration Organization of the country, the faults (main and minor) in the study area were determined and their lengths were determined. Then, the seismic power of the faults in the study area was calculated using the relations of Zare (1995), Norouzi (1985), and Norouzi and Ashjai (1978).

According to the relevant results, the average seismic power in terms of Richter in the faults of Nowruzabad is 12.55, Azadabad 10.20, Sari-Nasirlu 28.62, Ilikhchi 9.08, Chenar 6.56, Farzi-Kandi 17.42, Parchin 10.35, Ojaq-Alazar 17.94, Demirchi 7.23, Pireh-Khalil 6.55, Qanab 19.16, Shorfeh 7.73, and Shordarq 3.92. The results showed that the study area, especially the central parts towards the south of the basin due to the concentration of fault lines, is prone to seismicity and there is a possibility of earthquakes with a magnitude greater than 4 on the Richter scale. The Sari-Nasirlu, Azadabad and Al-Qanab faults have the highest seismic power in the region, respectively. Studies also show that there is a direct relationship between the seismic power of faults and the length of the fault. Given the lack of sufficient studies on the tectonics and seismicity of the region, other studies should be conducted

Geotourism examines geological features, such as rock structures, tectonic processes, and natural phenomena such as caves, springs, and mountains. These features can be used in the present study to evaluate and quantify the capacities of tourism land in order to attract tourism in Karaj city based on quantitative models (case study: villages of Berghan, Varian, Sanj Kordan).

In this study, two quantitative models, Kobalikva and Feullet, which are indicated by the abbreviations (K) and (F), have been used. In the Kobalikva method, which emphasizes more on scientific, educational, economic, conservation and additional criteria, and evaluates the studied areas by comparing sub-criteria. In the national park model, geotourism areas are examined based on four criteria: origin of formation, geographical distribution, tourism and accessibility.

The results of the evaluation of the Kobalikva geotourism model showed that the village of Berghan has a high potential for attracting tourists, with a score of 11.5. Also, according to the results, the water village of Varian is in second place with a score of 8, and the reason is that compared to the village of Burghan received a lower score due to difficult access and its only waterway. And the third region in terms of tourism with a score of 6 is the village of Sanj Kordan. The Violet model also showed that Burghan tourism region has the highest potential in the studied areas with a score of 75.10. Based on the results in this model, Burghan's management and tourism rate was estimated to be very excellent. Therefore, it is concluded that based on the results, Burghan's geotourism region has appropriate capabilities for tourism development in Karaj Township in Alborz Province compared to other studied areas. Finally, it is suggested that artificial intelligence capabilities be used in future studies to evaluate the studied areas.

Simulation and continuous review of dynamic processes and urban growth patterns with regard to past development and its prediction in the future, for planners and proponents of natural resource conservation in setting sustainable development strategies, achieving sustainable urban development as well as better decision making It is vital to guide future development. In this regard, the city of Karaj with the approach of being the center of the province as being industrial and migrating has had an impact on all the internal structure of the surrounding cities and villages. As a result, the use of hybrid modeling with a deeper and local perspective for codified planning for the sustainable development of the city of Karaj is inevitable. The aim of this study was to model the growth patterns of Karaj city using heuristic statistical preprocessing (ER), ordinary least squares regression (OLS) and spatial weighted regression model (GWR) and also to predict its development using the model. CA-Markov considering the 20-year period 2002-2021.

Methods and Material: 

For this purpose, first, effective criteria in this process were collected, analyzed and prepared from relevant organizations, and land use maps were extracted from Landsat satellite images. In the next step, the maps were validated and changes were detected. The results of change detection show that the largest increase in area occurred in the built-up areas (2893 hectares) and the largest decrease in area occurred in barren lands (808 hectares). Based on these changes and to avoid the trial and error method in selecting the best combination of input criteria to the GWR model, pre-processing was performed on the criteria using the ER and OLS methods. In the next step, considering the output of ER and OLS methods, 8 independent variables were selected as inputs to the models. Then, modeling of urban growth patterns was performed using the GWR model.

results showed that out of 8 variables, two variables had the same direction of impact (negative or positive) in the studied space and the other variables change their impact in the whole region. Finally, using the CA-Markov model, the land use map for 2041 was predicted. The final results showed that the CA-Markov model predicts that the highest rate of development will occur in 2041 in the eastern and northeastern parts of Karaj.

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 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.

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.

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.

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.

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.