Structural Analysis and Explanation of Factors Affecting the Sustainable Regeneration of Khorramabad Urban Tourism

The sustainable regeneration of urban tourism is one of the most important opportunities allocated in order to make proper use of the specific and neglected capabilities of a land to achieve a balanced and balanced urban development. Considering the applicability of the goals of this article, explaining the effects of effective factors such as social , economic, cultural and management on the sustainable regeneration of urban tourism is the target of this research. In this regard, the strategic question is which of the aforementioned factors have been effective on the sustainable regeneration of urban tourism and to what extent. To answer the research question, a comparative strategy based on quantitative methodology has been used. In this regard, the statistical population of the research includes experts and scientific-executive elites working in the field of urban issues, and 40 people were selected as a sample using a systematic and logic-based sampling method. The method of data collection is in the field and using the questionnaire tool, as well as the data analysis tool, using the inferential method based on the fit indices of the measurement model and the structural model and using the Smart PLS software. The results of the research have shown that the indicators of the measurement model are social factor (5 indicators), cultural factor (3 indicators), economic factor (4), managerial factor (3), physical factor (4) and the dependent variable of urban regeneration (5 indicators). ) has a factor load higher than 0.40 and the data confirms the measurement model of the research. In the structural model of the research, the correctness of the relationship between the structural variables/subject of the research was measured based on the statistic (T-value), which is higher than 1.96, and the correctness of this relationship was confirmed. In addition, based on the coefficient of determination (R2) and the intensity effect size criterion (F2), the intensity and effect of the relationship between the independent variables and the dependent variable is confirmed with a value of (0.68). Also, the overall model fit index (GOF) with a numerical value of 0.47 shows that the model has a strong fit and the data confirm the empirical model of the research.