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.

To conduct this research, data on monthly synoptic and hydrometric precipitation observations from the National Meteorological Organization and the Ministry of Energy were obtained for a 30-year period (1976-2005). To assess future changes in rainfall, historical data from the period (1976-2005) and simulated climate data from the period (2021-2050) using two models (CM3 and CSIRO-Mk3.6) from the CMIP5 series were used. These simulations were based on four scenarios (RCP2.6, RCP4.5, RCP6, and RCP8.5) with a spatial resolution of 0.5 x 0.5 using the BCSD method. A mean-based (MB) strategy was employed to correct any bias in the model outputs.  The results of the AOGCM models indicated that the CSIRO-Mk3.6 model had a lower error coefficient than the GFDL-CM3 model when simulating precipitation in the Large Karoun case. The average future rainfall (2021-2050) across the entire basin, compared to the average observed rainfall during the statistical period of 1976-2005, exhibited a significant decrease in both the amount and extent of precipitation in both basins for all models and scenarios. In the Great Karoun Basin, heavy rains were consistently concentrated east of the basin across all scenarios and models, with the central foothills experiencing the highest rainfall and the southwest and southeast regions receiving the lowest amounts.  The findings of this study estimate rainfall to range between 83-116 mm, with the highest rainfall expected in the Greater Karoun Basin under the rcp4.5 and rcp2.6 scenarios for both models.

The extent of mountainous and desert areas in Iran has caused the emergence of well-known geomorphological phenomena. Alluvial fans are landforms found in various locations. Identifying and evaluating their impacts can be valuable for natural hazard management and land use planning. In this study an attempt hs been made  to evaluate the status of tectonic activities in the south of the slopes of the Kharqan mountain range in the northeast of Hamedan province. Different maps were utilized to examine the development process of alluvial fans and present evidence of tectonic activity, including the Gozal Valley, Karafs, and several smaller alluvial fans. The findings of this study revealed that tectonic activity in the Gozal Valley cone remains active, while the alluvial fans located between the Gozal Valley are inactive. Further evidence in the bed of the Gozal Valley cones suggests tectonic changes caused by fault activity, resulting in the alteration of the riverbed's drainage pattern and subsequent destruction and erosion of the surrounding areas. Additionally, changes in drainage patterns and sediment depth on the surface of alluvial fans can be attributed to tectonic activities within these fans. Geological logs illustrate both prolonged, slow periods and active periods during various geological eras in the study area. Ultimately, tectonic activity initiated with a lengthy, sluggish phase, followed by continued tectonic activities and fluctuations.

The current research is based on the process of algorithmic design and simulation of village boundaries using the Grasshopper plugin in the Rhino software. The proposed algorithm utilizes the image simulator component and its importer in the Grasshopper plugin to input two-dimensional images taken from samples into this plugin. Before entering the data, the input images are converted to black and white to allow the system to distinguish between the background texture and the subject of analysis. Additionally, the proposed algorithm identifies the village boundary by comparing the subject and the text in the pixels of the two-dimensional image. By calculating the internal area of the identified boundary, the algorithm estimates the proportion of textures relative to the background. The main objective of this research is to examine the impact of green and dry textures as natural factors on the density of residential texture in terraced villages in Iran, across various climates. In addition to identifying the density of village textures, emphasizing the comparison of parameters will provide new insights into the texture of terraced villages. The simulation analysis tool, known as the density measurement algorithm, is developed based on aerial maps created by the researchers for this study. By using inverted aerial maps, this algorithm can determine the density of natural texture in the formation of villages and residential texture. This capability reduces the need for physical presence and enhances the accuracy of outputs in analyzing village texture. Furthermore, the identification of parameters will provide the next generation of rural housing with the density pattern of previous generations.

In the era of knowledge, the rapid advancement of information and communication technology (ICT) is considered a crucial factor in addressing the growing environmental, social, and economic challenges in urban areas. Knowledge-based cities, leveraging this technology, are at the forefront of enhancing the quality of life for residents and the efficiency of services towards achieving sustainable urban development. This study aims to explore the potential and application of ICT in knowledge-based urban development. The data analyzed were collected through a survey of 66 experts from the Deputy of Urban Planning in the 22 districts of Tehran Municipality, ensuring theoretical saturation. Structural equation modeling and the partial least squares approach, utilizing SmartPLS3 software, were employed for data analysis. The findings indicate that the variables of ICT application and potential, as well as knowledge-based urban development in Tehran, and their respective components, scored an average ranging from 3.5 to 4.3 on a 5-point Likert scale, suggesting a relatively stable status. Furthermore, the coefficient for the impact of ICT application and potential on knowledge-based urban development exceeded 0.96, confirming the main model of this research. The outcome suggests that investing in research and development of ICT can serve as a solution to overcome the limitations of knowledge-based urban development in the Tehran metropolis.

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.

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.

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.

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.

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.

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..

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.
 

Dust is a phenomenon with significant environmental impacts across various aspects of human life, including agriculture, economy, health, and more. The purpose of this study is to investigate and predict the dust phenomenon in Kermanshah. Meteorological data with a 3-hour resolution for the statistical period (2000–2020) from the Kermanshah station was obtained from the Meteorological Organization. First, the dust data were normalized, and then Artificial Neural Network (ANN) models were used to predict dust concentration, while the Adaptive Neuro-Fuzzy Inference System (ANFIS) was employed to analyze and predict the time series of dust occurrence in MATLAB software. The findings revealed that the maximum predicted dust concentration, related to the minimum dew point with the highest Pearson correlation with dust, was estimated at 3451.23 µg/m³. Additionally, the results of the time series prediction using the ANFIS model showed that the linear bell membership function with grade 3, during both the training and testing stages, was the most effective input function among other membership functions. According to the forecasting models, the highest probability of maximum dust occurrence in the next 20 years in Kermanshah is 94%. Based on the aforementioned studies, sufficient information was gathered to conduct this research. The phenomenon of dust, particularly in western Iran and the city of Kermanshah, has consistently posed significant challenges for the residents of these areas. This phenomenon is influenced by specific atmospheric conditions that cause irreparable damage annually, leading to respiratory issues and deteriorating air quality. Therefore, it is essential to pay serious attention to the issue of dust.
 

The emergence of new cities can be attributed to the significant increase in the population of urban areas. Over the past two decades, numerous new cities have been established in proximity to the country's metropolises, with the new city of Sahand serving as a pertinent example. The primary objective of this research is to elucidate the physical development trajectory of Sahand, utilizing Landsat satellite imagery spanning the statistical period from 1373 to 1401. To this end, satellite images corresponding to four distinct statistical periods (1373, 1383, 1393, and 1401) were acquired from the Landsat 5 and Landsat 8 satellites. By applying a band calculation function to the images captured by the Thematic Mapper (TM) and Operational Land Imager (OLI) sensors, the physical changes in the urban fabric of Sahand during the specified temporal intervals were quantified and analyzed. The findings of this research indicate that the physical growth and development of Sahand commenced in 2013, at which point the urban area encompassed 282 hectares, representing a 28-fold increase since that year. In the subsequent decade, the urban area expanded to 570 hectares, reflecting a 100% growth relative to the previous decade. Ultimately, during the final decade under review, the urban area reached 850 hectares, exhibiting a growth rate of 50%. Notably, District 6 of Sahand, which constitutes approximately 35% of the city's physical fabric, emerged as one of the fastest-growing regions between the years 1393 and 1400. Moreover, a statistically significant correlation was identified between population growth and the physical development of Sahand during the statistical period from 1380 to 1400, with a confidence level of 0.95 (P_value=0.05) and a correlation coefficient (R) of 0.91. Consequently, the regression model fitted to the relationship between population growth and urban fabric expansion, when incorporating the projected population density following the implementation of Mehr housing policies (which anticipates a population of 185,000), suggests that the area of Sahand's physical fabric will increase to 1,181 hectares in the forthcoming decade, indicating a growth rate of 38%.