Despite Iran's capabilities in the field of tourism, unfortunately, it has not been able to achieve a worthy position in this industry. One of the factors that can develop and improve the country's tourism industry is the use of effective marketing tools and parameters, including introverted marketing. This research is applied in terms of purpose and descriptive-analytical in terms of method. The statistical population of the study consisted of incoming tourists to hotels and restaurants active in the city of Rasht who were active in social networks. The sample size was estimated to be 384 using the Cochran's formula. The data collection tool was a researcher-made questionnaire whose validity was confirmed as qualitative and quantitative validity and its reliability was confirmed using Cronbach's alpha method and combined reliability. In this study, in order to analyze the research data from the software SPSS and Amose were used. The findings of this study showed that the components of social construction, social listening and online content of introverted marketing have a positive and significant effect on the intention of electronic advertising. The results of this study also showed that the components of introverted marketing, ie social construction, social listening and online content have a positive and significant effect on the selection of tourism destinations. Other results of this study can be the positive and significant effect of advertising intentions on the choice of tourism destinations and also the mediating role of this variable in the relationship between the components of introverted marketing with the selection of tourism destinations.

Many factors, including cultural factors, currents and schools of thought, and patterns of urbanization in the world are influential in the physical structure of a city. The physical structure of the city is the result of all the forces that give rise to the formation and formation of a settlement and has an objective and mental appearance. The growth and development of cities, due to various events in all historical periods, has been declining and rising. Nowadays, knowledge of the physical structure of the city and the reasons that govern its spatial expansion in different periods is necessary to control its expansion and is one of the important factors influencing the success of urban planners and designers. This study was written with the aim of identifying and prioritizing cultural factors affecting the physical structure of the city with emphasis on indigenous architecture. The present research is applied in terms of purpose and descriptive-analytical in terms of method. Library and field methods were used to collect information. The statistical population of the study consisted of experts and specialists in architecture and urban planning, with a sample size of 30 people. In order to achieve the objectives of this study, the fuzzy Delphi technique and the BMW model were used. The results of fuzzy Delphi technique confirmed the identified factors and sub-factors. The results of the BMW model showed that among the identified factors, the privacy factor with a final score of 0.298 in the first place, the security quality factor with a final score of 0.273 in the second place, the nature connection factor and social interactions with a final score of 220 / 0 is in the third place and the hierarchical factor is in the fourth place with a final score of 0.209.

Interactions and sometimes contradictions in economic and cultural priorities which happen due to social transformations, changes in paradigms and changes in economic – political systems led to changes in urban regeneration concept. The role of culture in urban regeneration had significant changes comparing to other factors; and the cultural focuses became the main approach in urban regeneration in recent decades. The quality of built environment and level of residents’ satisfaction plays an important role in regeneration policies of target areas as well. This study investigates the impact of environment quality variables (environmental, physical, economic and social) on level of residents’ satisfaction in cultural neighborhoods of Kerman, with the goal of improving the regeneration process.The method of this research is applied-developmental in terms of the aim, and descriptive and causal comparative in terms of the nature. This study uses questionnaire as a tool for collecting data. The study sample size is 513 and the data were analyzed by SPSS and AMOS softwares. The results demonstrate a significant direct relationship between economic and physical variables as well as social variables and consequently the same relationship between economic and the sense of satisfaction. The results also indicate a significant inverse relationship between environmental variables, which are effective on sense of satisfaction, and economic variables. The results of structural equation modeling (SEM) show that improvement in the condition of economic, physical and environmental variables, will improve condition of social variables and the sense of satisfaction in the studied neighborhoods. Furthermore, analysis showed that economic variables have more effect on social variables and eventually on the sense of satisfaction as compared to physical and environmental variables. Therefore, the negative effects of each four aforementioned factors could be decreased in the studied neighborhood through planning and application of culture-led regeneration policies. Accordingly the increase in the sense of satisfaction would improve the revitalization and sustainability in these neighborhoods.

One of the most important and urgent issues of urban planning is the equitable distribution of facilities, services and accessibility of citizens at the urban level. Economic and commercial centers, including banks and financial institutions, are one of the most important economic sectors of cities and can be sustained. Social, economic, physical, and environmental impacts of neighborhoods. The purpose of this study was to investigate the extent of citizenschr('39') access to commercial land use in Ardebil neighborhoods. Therefore, the present study is applied in terms of purpose and descriptive-analytical in nature. The statistical population of the study is 44 localities of Ardabil city. Spatial statistics models, Hot Spot Analysis, and GIS software were used for data analysis. Finally, regression function in Idrisi Selva software was used to analyze the correlation between commercial user and population as well as to determine the relationship and correlation of this user with other service users. The results show that in Ardabil neighborhoods there is inequality in terms of overall business use. As a result, the neighborhoods have high commercial use weights and high concentrations of hot spots in optimum condition, including areas 3 and 5 from zone 2, zone 7 from zone 1 and zone 6 from zone 3. Also, commercial low weight blocks and low concentrations of hot spots, which include areas 8 and 11 from zone 2, area 11 from zone 3, are lower in urban sustainability. Finally, based on the results of the research, some suggestions have been made.

In this study, the actions and interactions between the city and the border were studied and explained. This research is applied in terms of purpose and in terms of descriptive-analytical method in library and field method. Data were collected through questionnaires and interviews. The statistical population consists of one percent of the population of border towns of Zahedan, Mirjaveh, Dost Mohammad, Khash and Saravan(N=8092). Using Cochran formula, 367 people were selected as the sample. Data were analyzed using Structured Analytical Model (SOWT-ANP). Findings and results showed.the most important effective factor on city-boundary relations is social factors with a mean of 3.55 and among weaknesses, Most affected were social weaknesses with a mean of 3.63 and among the opportunities examined, economic and managerial factors with a mean of 3.53 and Finally, they have the most impact on all types of threats, injuries and social threats with an average of 3.75. Also, the use of the method(F.ANP)in this study showed that the highest weight related to the threat factor was "management", which gained 7.9% of the final weight and took the first place. "Establishing economic, political and environmental security to deal with crises, attacks and ... (ST2)" is the most desirable strategy of deciding on the issue of zero value. And the strategy of "non-cooperation and interruption of cross-border relations with neighbors (WT1)" has been identified by experts as the worst strategy in this regard. Therefore, it can be said that among the factors (SWOT) "threats and challenges" in security and management dimensions is the most influential factor And the real gap between the "opportunities" is the key to improving the relationships between cities and territories. Also, from the standpoint of sustainable development management (institutional and structural) factors with the highest degree of importance and social, economic and environmental factors are ranked next.

This study examines the principles and criteria that lead to the adoption of a city - a case study: Sahebgharraniyeh Tehran district - is underway. The NLAS method has been used as the main research method and indicator in this research. In this research, we tried to evaluate the methodology of the NLAS method in Sahebgharriyeh neighborhood using the method of analysis of the hierarchical method of analysis of the NLAS method and to analyze the status of living in Sahebgharrani neighborhood based on the received responses and their analysis. Detailed analyzes based on factor analysis and hierarchical analysis method show that Sahebqaranieh's habitat status is based on three indicators of facilities and services, local economy dynamics and visual landscape situation and environmental pollution and its related components. After summing up Related items and calculation of general indices indicate that the local economy's dynamics indices with a mean of 0.96 and T-value of 968 / resulted in decreasing the viability of Sahebqaraniye neighborhood. But with 95 percent confidence, Sahebgharriyeh neighborhood can be considered as individual and social security indexes, identity and sense of place belonging, facilities and services needed, and the status of the visual landscape and the environmental pollution of the habitat.

According to statistics, about 300,000 disabled people live in Iran. There are about 25,738 disabled people in Ardabil province. This calls for attention to macro-planning for the disabled. This planning involves cognitive and spatial analysis of the status of the disabled people in different parts of the country. The purpose of this study was to analyze more precisely the situation of the spatial dispersion of the disabled and their relationship with different regions of the cities of Ardabil to address further the problems of accessing urban services and creating better living conditions for people with disabilities. In the present study, indicators such as age, gender, the status of residence, type and severity of disability, marital status, education and employment were analyzed using spatial statistics analysis. Also, the geographically weighted regression (GWR) model has been used to measure the relationship between the extent of development and disability. Findings of the research show that there is no relationship between the extent of development and disability in Ardabil province. The number of disabled males is higher than that of the disabled females in all cities. Disabled people in Ardabil province are young and 91.55% of them are illiterate and close to 96.74% of them are facing unemployment problems. In almost all cities of Ardabil province (73.98), there are severe to very severe disabilities and there is no specific order among different cities in the province of Ardabil regarding the type of disability, and various disabilities have been dispersed in the province.

Relative humidity is considered to be one of the most important climatic parameters and atmospheric phenomena. The purpose of the present study is to evaluate the regional algorithms for estimating relative humidity using remote sensing data in Hormozgan province. To this end, MOD05 and MOD07 products were employed to estimate total perceptible water, air temperature, and sea-level pressure Additionally, MOD35 was used for cloud verification, , resulting in the identification of 2190 cloudless images with 95% confidence level for analysis. radiosound data of Bandar Abbas ststion and synoptic stations Covering entire Hormozgan Province. were used to evaluate the results. The findings demonstrated high accuracy of the algorithms and experimental model, with acceptable R² and RMSE values between Modis product and ground data. These results align well with ground station measurements. The province's climate was determined to be semi-desert with a long warm season and a short cool period. Further analysis revealed a strong correlation between sea-level pressure and total perceptible water (TPW) with the region's topography. Maximum TPW and sea-level pressure values were recorded in coastal lowlands, while minimum values occurred in the highlands. Based on zoning maps, Hormozgan province can be divided into four regions based on relative humidity: from very dry conditions with less than 20% relative humidity in the highlands to humid areas with over 65% relative humidity along the coast.

Extratropical cyclones, characterized by their frequency, duration, and intensity, serve as the primary drivers of mid- and high-latitude precipitation across the Mediterranean during the winter and autumn months. For this research, climatic variables obtained from the ECMWF network, featuring a temporal resolution of 6 hours and a spatial resolution of 0.25° × 0.25°, spanning from 1979 to 2016, were utilized. Additionally, precipitation data from four basin stations sourced from the Asfezari database for the same period were analyzed. Initially, geopotential height, temperature, humidity, and jet stream data for rainy days were extracted using MATLAB. Subsequently, a cyclonic center extraction algorithm was applied to identify cyclonic centers from the geopotential height data, based on the conditions that the geopotential height is at a minimum and the geopotential gradient is at a maximum. From the geopotential height matrix of rainy days (361×441×498), four distinct atmospheric patterns were identified through cluster analysis. The temporal and spatial frequency of these patterns, as well as the average temperature of cyclonic centers, were analyzed for the cold season months. The results indicated that the first pattern, identified as the Mediterranean trough pattern, is the most frequent, occurring 42% of the time. This pattern is characterized by the presence of a high-level system acting as a barrier, which deepens the low-level Mediterranean system and extends its axis toward the Red Sea. The interaction between low-level and high-level systems enhances instability, resulting in the highest precipitation levels among the identified patterns. Conversely, the fourth pattern, termed the western wind trough pattern, exhibits the lowest frequency at 10%. This pattern is characterized by a trough over the Caspian Sea; however, a high-level system in the southern region inhibits the entry of low-level systems, thereby confining cyclonic activity to the northern portion of the study area. Consequently, the isobars in the northern region assume a more orbital configuration, leading to a decreased influx of cyclones and, as a result, lower precipitation amounts compared to the other patterns. The analysis further revealed that cold-core cyclones accounted for 60% of occurrences in winter and 40% in autumn, while hot-core cyclones constituted 62% in winter and 38% in autumn. Notably, the frequency of hot-core cyclones increased relative to cold-core cyclones in winter, whereas an inverse trend was observed in autumn. Over the past decade, both the frequency and intensity of cyclones have diminished compared to the preceding two decades. In terms of cyclogenesis locations, the western part of the study area has consistently emerged as the most active region. Moreover, cyclogenesis activity exhibits a gradual increase from autumn to winter as the cold season progresses. These findings underscore the dynamic nature of extratropical cyclones and their significant role in shaping precipitation patterns across the Mediterranean region.