The purpose of this study was to investigate the factors affecting the increase in attractiveness of tourism purposes in Tehran. The present research is descriptive-analytical in terms of purpose and method. The data collection tool is a question and interview. The statistical population of the study includes experts and experts in the field of tourism, which was selected using Cochran formula and simple random sampling method, 210 tourism experts were selected as samples. Descriptive tests and logistic regression test were used to analyze the data. The results of this study indicate that from 210 active in Tourism in Tehran, 91 people believed in 43.3%, with attractiveness of tourist destinations in Tehran at high level, 29% believed that the level of charm at the appropriate level and only 27% He believed that the attractiveness of tourist destinations in Tehran is at a low level. The results in the field of effective factors on increasing the attractiveness of intentions due to tourism development also showed that among the four factors intended, respectively, factors of 1) innovative business opportunities with impact coefficients (613/0), 2) assets Natural / cultural and historical city with a coefficient of impact (0.577), 3) Development of tourism infrastructure with an impact coefficient (0.497) and 4) urban development agent with an impact coefficient (0.473) had the most effects on increasing attractiveness Due to tourism development in Tehran.

This research is conducted on tourist segmentation in the touristy catchment area of Kolan river in Malayer Township. The statistical population is tourists who travel to the area for recreation, tourism and leisure. The research tool is a self-administrated questionnaire. By the method of Simple random sampling we collected a total of 200 questionnaires of tourists in the study area. Descriptive statistics and exploratory factor analysis and cluster analysis was used to analyze the research data. Based on the results of factor analysis were identified even major factor in tourists' motivations at the regional level, including: Rurality, sense of place and place belonging, rest and relaxation, nature-based tourist activities, group outdoor recreational activities, purchase the rural production, excitement and novelty, spirituality and solitude. According to this motivational factors final result of tourism segmentation shows that tourism demand in the market consisted 7 difference segments. cluster 1 with a diverse motivation of 12%, cluster 2 with togetherness motivation 17%, third cluster as a younger age group with adventure motivation 18.5%, cluster 4 with rurality motivation 15%, fifth cluster whit shopping motivation 10%, sixth cluster with sense of place and desire for comfort and rest 19.5%, and seventh cluster with a particular tendency to sense of place 7.5% of the sample population as a whole. The results could be utilize in order to optimize the use of available resources in the area by managers and local authorities, as well as owners of tourism businesses, compatible with the actual needs of  various sectors in rural tourism market.

The purpose of present study was to investigate the effect of social responsibility on emotional and behavioral responses of tourists after failure of services in four-star and five-star hotels. The research method is practical  obgectively and descriptive and analytical methodology. The statistical population of the study was contained tourists who visited four-star and five-star hotels, and the sample size was estimated 384 people by the Cochran formula, sampling method was simple random. The data gathering tool was the questionnaire whose validity and reliability were confirmed. For investigating and testing of the research hypotheses was used structural equation modeling in the software environment, pls. The results of the research indicated that social responsibility has a positive and significant effect on loyalty, satisfaction and trust of tourists. In addition, findings showed that the satisfaction and trust of tourists have a positive and significant effect on their loyalty.

A city requires city brand and appropriate strategies for beneficiaries, especially tourists; hence, city development plans can affect the type of city brand orientations. Accordingly, this study was conducted to identify the effective factors to design structural equation modeling (SEM). SEM was employed to rank the factors and find the correlation between them using Forner-Larcker Matrix. This was an applied-correlational study in which, data were collected through convergent mixed methodology, library study, questionnaire, and Semi-structured interviews. Birjand was chosen as the research field and a statistical sample was chosen at descriptive statistics using purposive and snowball sampling methods. Accordingly, 19 subjects were selected from urban experts, and 381 tourists were chosen at the quantitative step using simple random sampling. findings obtained from interviews implied that some points should be considered for the city branding of Birjand. The factors include the significant militarily and academic impact of Birjand on historical aspect and service-based economy of the city, cultural capitals, and the arts that are forgetting, immigration, and implementing the development-driving plans. The research model indicated that city development plans had the highest positive effects on the landscape and mental image regarding city branding plans. Moreover, According to the correlation between components, the highest relationship was between mental image and landscape (0.66).