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        1 - Modeling for Predicting Domestic Demands for Recreational Tourism in Tehran
              ebtehal zandi
        Recreational tourism is an important form of domestic tourism in Tehran, based on the statistics of the National Center of Statistics and the views of the experts. This paper tried to propose models for predicting effective variables on predicting domestic demands for r More
        Recreational tourism is an important form of domestic tourism in Tehran, based on the statistics of the National Center of Statistics and the views of the experts. This paper tried to propose models for predicting effective variables on predicting domestic demands for recreational tourism in Tehran. The study used the monthly information between 2001 and 2015. The independent variable was the number of domestic recreational tourists in Tehran, and the dependent variables were selected based on Delphi and Fuzzy DEMATEL techniques. The model framework was a combination of regression, the fuzzy neural network, and SVR algorithm. The combinations of these methods helped measure prediction errors and compare methods. Results showed that the proposed hybrid approach of regression and Adaptive Neuro-Fuzzy Inference System (ANFIS) could have a better prediction compared to other methods for predicting domestic recreational tourism. Manuscript profile
      • Open Access Article

        2 - Identifying and Prioritizing Factors Affecting Tourism Competitiveness in Tehran
        Hossein Farhadikhah Keramatalah Zayyari saeed zanganeh Nasser Rezaei
        While enjoying great tourism potential, Tehran has failed to attract tourists in proportion to such potential, making it necessary to identify, enhance, and introduce the potential. In this regard, as developing tourism and improving Tehran’s tourism competitiveness cou More
        While enjoying great tourism potential, Tehran has failed to attract tourists in proportion to such potential, making it necessary to identify, enhance, and introduce the potential. In this regard, as developing tourism and improving Tehran’s tourism competitiveness count as the main prerequisite for putting such potentials into practice, this applied study sought to identify the key factors involved in the tourism competitiveness of Tehran using the mixed method approach. To this end, the study identified, with the help of 15 experts in the relevant field, the most important factors involved in Tehran’s tourism competitiveness based on the indicators defined by the World Economic Forum using the Delphi technique. Then, a cross-impact questionnaire was applied to identify the main driving forces that influence the future of tourism in Tehran and its competitiveness. Finally, the collected data were analyzed using the MICMAC software. According to the study’s results, out of the 35 examined factors, 12 factors were selected as the key factors affecting Tehran’s tourism competitiveness which are as follows: developing state-backed prioritization of travel and tourism, enjoying international openness, revising prevailing laws and regulations to enhance tourism, improving the status of human resources and tourism labor market, making better use of cultural and natural resources, fostering communications with the world media, publicizing Tehran’s tourism attractions, branding Tehran in terms of tourism potentials, and introducing Tehran’s tourism potentials. . Manuscript profile