One of the contemporary approaches to tourism involves leveraging virtual spaces and information technology, which have transformed tourism perspectives and eliminated boundaries between physical and digital environments. This research investigates the potential of virtual spaces in promoting tourism development in Konarak County. The study is classified as "applied" in terms of its objective and "descriptive-analytical" regarding its nature and methodology, utilizing "documentary and survey (questionnaire)" data collection techniques. The target population comprises expert professionals, with 35 individuals selected using a two-stage Delphi sampling approach. The content validity of the questionnaire was established through professional evaluation, while reliability was confirmed via Cronbach's alpha test (α = 0.852). Data analysis employed t-tests, path analysis, and DEMATEL methodology. T-test results indicated that virtual spaces (M = 4.22) surpassed the baseline threshold (3), demonstrating a significant impact on tourism development in Konarak County. Path analysis revealed that information technology infrastructure had the greatest influence (factor = 0.608), while e-commerce exhibited the least effect (factor = 0.250) on tourism development. DEMATEL analysis indicated that the telecommunications platform index (5.971) displayed the highest level of interaction, whereas the information index (5.671) showed the lowest interaction. The social network index (1.402) emerged as the most effective factor, and the telecommunications platform index (2.088) was identified as the most influential factor.The findings suggest that establishing technological infrastructure and promoting Konarak County's attractions through media platforms (television, news websites, etc.) represents a significant advancement toward the county's developmental objectives. 

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.
 

 

The torrential rains that occurred in April 2017 in Lorestan Province exemplified severe precipitation that inflicted substantial damage on agricultural, urban, transportation, and communication infrastructures. This study aims to investigate and elucidate the relationship between the physical structure of clouds responsible for two waves of heavy rainfall in April 2017 within the Doroud catchment area of Boroujerd. In this context, the statistical characteristics of two precipitation events on March 25 and April 1, 2019, were analyzed. The microphysical properties of the clouds generating these two heavy rainfall events were examined utilizing the Madis superconductor product and MOD06. Four microphysical factors contributing to the formation of clouds during these two rainfall waves in the Doroud-Borujerd basin—including cloud top temperature (CTT), cloud top pressure (CTP), optical cloud thickness (OCT), and cloud cover ratio (CFR)—were analyzed. Statistical assessments indicated that the first wave of heavy rainfall, occurring on March 25, 2019 (5 April 1398), accounted for 15% of the total annual rainfall, while the second wave on April 1, 2019 (12 April 1398) contributed 20% of the region's average annual rainfall within these two days. The findings from the analysis of the microphysical structure of the clouds producing these two precipitation waves, based on data from the MODIS cloud sensor product, revealed a significant spatial correlation between the four microphysical factors and the recorded precipitation values of these two heavy rainfall events. Specifically, the cloud top temperature and pressure, indicative of vertical cloud expansion in the area, exhibited a significant inverse relationship with the precipitation amounts in the basin. Conversely, the cloud cover ratio and optical thickness demonstrated a direct and significant spatial correlation with the recorded rainfall values. The results of this study thus establish a significant and robust relationship between the microphysical structure of clouds and the precipitation amounts recorded in the region during these two heavy rainfall events. 

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%. 

A viable solution to address the challenge of urban poverty in the worn and inefficient contexts of the metropolis of Ahvaz is to reform its structures by integrating poverty-reducing policies into urban planning for the future. Sustainable regeneration has been identified as one such strategy. The premise that substantial capital investment in neighborhood regeneration can enhance the overall conditions of the neighborhood poverty system underscores the critical need to organize economically focused spaces within targeted poverty zones.
Utilizing the normative futures study method, three types of uncertainty scenarios—critical, middle, and desirable—were developed through a Delphi survey for each of the five strategic drivers of the research that can be managed, modified, and monitored throughout the sustainable regeneration process. The sustainable regeneration plan for urban neighborhoods was conceptualized with poverty-reducing policies tailored to each of these five strategic drivers, guided by thematic macrotrends.For each technical area, the key impacts of future-oriented economic interventions aimed at regenerating the targeted neighborhoods were identified and outlined. Based on these dimensions, policies were proposed in the form of thematic actions aligned with desirable scenarios to enhance the status of the five strategic research drivers. This, in turn, aims to reform the structures of urban poverty and improve the overall conditions of the poverty system in the targeted neighborhoods.as a result, The failure of Iran's urban regeneration programs in resolving stakeholder conflicts is rooted in many structural weaknesses related to the procedures and methods of preparation and implementation of these programs. Therefore, a mechanism should be provided in the process of preparing urban regeneration plans, which, in the first step, should pay attention to the dynamic, multidimensional and complex nature of conflicts in the stages before, during and after the implementation of the project, and then identify the conflicts of the beneficiaries in the very early stages. to control.

Today, in many developing countries, Simultaneously with the rapid growth of urban areas beside of the population growth, countless issues and problems has been created, which sometimes led to the structural and functional deterioration of urban fabrics, and sustainable urban development has been proposed as a solution to such problems in cities. Transportation-oriented development, as an approaches of smart urban development focusing on transportation systems and the centrality of pedestrians in stations, can be an appropriate solutions in the urban system to deal with the issues and problems that are bothering most of the deteriorated areas of big cities, including Tehran. In this research, Safa neighborhood as one of the neighborhoods of Tehran metropolis, which is located in deteriorated fabrics of this city has been studied in order to its shortcomings and strengths to achieve a favorable approach to organizing the fabricdue to its place near public transportation stations.
Transportation-oriented development, as an approaches of smart urban development focusing on transportation systems and the centrality of pedestrians in stations, can be an appropriate solutions in the urban system to deal with the issues and problems that are bothering most of the deteriorated areas of big cities, including Tehran. In this research, Safa neighborhood as one of the neighborhoods of Tehran metropolis, which is located in deteriorated fabrics of this city has been studied in order to its shortcomings and strengths to achieve a favorable approach to organizing the fabricdue to its place near public transportation stations. in order to investigate its shortcomings and strengths. Also with a practical purpose and a descriptive-analytical nature, through field investigations and quantitative findings obtained from the statistical blocks of 2016 Iranian statistics, the findings were analyzed by GIS software and spatial statistics analysis models. The results show that this area has good potential for the implementation of the plan base on TOD and in the meantime, the 17 Shahrivar station has the most compliance with this approach according to the five investigated indicators.

Considering that urban land-use change in metropolises such as Tehran has been increasing in recent decades; Therefore, the formation of the thermal island phenomenon in the city can be studied as one of the environmental problems. Increasing construction, density, and building heights will change the complexes' geometry and shape, followed by changes in climatic conditions and micro-urban climates. Therefore, in this study, we tried to investigate urban geometry's effect on forming a thermal island in Tehran. The study region in this research includes regions one, two, and three of Tehran.
The methods used in this research included (1) Oak's numerical equation and algorithm design to simulate the intensity of the heat island. In the first stage, digital GIS data including building blocks (parcels) in polygon format and street widths, which were prepared and prepared by Tehran Municipality based on the 2016 detailed audit plan, were used. (2) Modeling was performed in Envi-met software to study the effect of city geometry on wind. The results of the studies showed that the two factors of building height and street width (ratio (H/W)) play an important role as two key factors in studying urban geometry; therefore, in studying the intensity of the heat island, the factor of building height and high-rise construction can play an important role in the formation of the heat island. However, the higher the height of the building compared to the width of the streets, the more it acts as a barrier against the heat island. The intensity of the heat island adjusted with the Oak equation showed that the factor of building roughness coefficient can be an important factor in adjusting the intensity of the heat island. Spatial analysis of images and outputs of the Envi.met model showed that the two main factors of construction density And the height of the building has a greater impact on wind speed transmission than the slope and topography of the area. Therefore, in the study of urban design for future studies, appropriate planning and proper management of resources are needed for the climatic comfort of residents, which can be designed to be beautiful and safe cities by considering the principles of architectural safety.