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.

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.

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.
 

In recent decades, good urban governance has been proposed as the most effective, least expensive, and most sustainable method for managing the complex and multi-level systems of modern cities. The centrality of this approach in urban management is based on democratic and egalitarian development, aiming to involve all interested and influential stakeholders in the administration of cities while addressing their diverse needs. On the other hand, women, as one of the main and most influential social groups in urban life, play a prominent role in city administration. Therefore, the purpose of this article is to examine the role of good urban governance during and after the COVID-19 pandemic, with a focus on the women’s status in Semnan. From the perspective of its objective, this research is practical, and in terms of data collection, it is descriptive-survey. A questionnaire was used to collect data and information for this study. The statistical population of the research consists of the citizens of Semnan, with a population of 185,129 people. The sample size was calculated using Cochran's formula, resulting in 383 participants. To analyze the data, single-sample t-tests and multivariate linear regression were employed. Finally, to generalize the results from the sample to the statistical population, structural equation modeling was conducted using Lisrel software. The results of the one-sample t-test showed that the t-values for each of the research variables, with averages lower than the theoretical mean, were negative. This indicates that the dimensions of good urban governance in Semnan, as well as the situation of women in the city, are not in a favorable state. Additionally, the results of structural equation modeling in Lisrel software revealed that the justice variable has the strongest and most significant relationship with good urban governance. Finally, the survey results demonstrate that it is impossible to achieve good urban governance without defining and explaining the practical role of women, who represent half of the city's population and are one of the most important and influential groups in city administration.

Urban development strategy represents a contemporary approach in urban planning and management, offering a framework for achieving sustainable urban development through poverty reduction, citizen participation, and increased investment. Like many cities in Iran, Ardabil faces numerous challenges, including inadequate governance, deteriorating infrastructure, substandard housing, weak public utilities, and insufficient social and health services. These issues underscore the necessity of strategic planning to address urban development effectively. This study aims to evaluate the indicators of urban development strategy in Ardabil. Employing a descriptive-analytical methodology, the research is grounded in field investigations. A sample size of 230 participants was determined using Sample Power software. Data analysis was conducted using one-sample T-tests and structural equation modeling (SEM) in AMOS Graphics software. The results of the one-sample T-test revealed that the status of urban development strategy indicators—livability, good governance, bankability, and competitiveness—in Ardabil is suboptimal, with mean scores of 2.21, 2.6, 2.62, and 2.15, respectively. Second-order factor analysis indicated that among the dimensions of urban development strategy, competitiveness, with a factor weight of 0.93, exerts the most significant influence, while bankability, with a factor weight of 0.62, has the least impact. Furthermore, the findings demonstrated that an improvement in the good urban governance index leads to a 0.55 increase in bankability, a 0.76 increase in livability, and a 0.86 increase in competitiveness. These results highlight the interconnectedness of governance quality with other dimensions of urban development, emphasizing the need for integrated strategies to enhance Ardabil's urban sustainability. 

Based on climatic model simulations, global temperatures can be expected to rise by 1 to 5.5 degrees Celsius by 2100. Given the consequences of climate change, recognizing this phenomenon is important in order to have a specific strategy to reduce its effects. In order to study the trend of climate change using Kendall Mann method was evaluated and according to the selected criteria affecting green space and weighting by AHP method, green space adaptation index for Sabzevar city until 2040 was calculated. Changes in urban green space were assessed using satellite imagery and the NDVI index. The decrease in the area of ​​green space along with the expansion of the urban area in the period under study is clearly visible (during the statistical period under study, which corresponds to the historical period of climate models and observational data of Sabzevar). This study also shows that the increase in temperature in the next decade (2030-2021) will continue with greater intensity. In the next step, the per capita urban green space was calculated. According to the results of studying climate data, creating green space in proportion to climate change can play an effective role in adapting the city of Sabzevar to climate change. The use of climate-friendly green space and its changes will reduce greenhouse gases and provide a more suitable climate for humans and their activities. Due to the horizontal growth of the city and the rate of population growth, the amount of adaptation will decrease from 0.48 (in the basic period) to 0.32 in the period 2030-2021. A total of 15 indicators in four cultural, managerial, technological, ecological and plant criteria or each other in ArcGIS software were combined based on the coefficients of importance obtained by experts in the Expert Choice software

The application of structural analysis to development drivers facilitates a more nuanced understanding of the developmental landscape of provinces and enhances regional equilibrium in decision-making processes. This study examines the ten cities within Ilam province through a comprehensive assessment of 44 combined development indicators. Methodologically, this research is classified as applied in nature and employs a descriptive-analytical approach, utilizing contemporary futurology techniques. Theoretical data were gathered through documentary methods, while empirical data were collected via surveys. Development drivers were identified through documentary analysis and environmental scanning, complemented by empirical data obtained through the Delphi method. Data processing employed the structural interaction analysis method using MIC MAC software. Findings from the interaction analysis reveal a dispersion of propulsive forces within a complex and intermediate context of impact and effectiveness; the clustering of drivers illustrates the concentration of both effective and regulatory forces. Among the 44 identified development drivers, the borders of Ilam province and managerial decision-making processes emerged as significant effective drivers. The results indicate that development in Ilam province is characterized by pronounced imbalances, with a trend towards increasing inequality. It is suggested that only through improved and more comprehensive planning can these disparities be partially mitigated.