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      • Open Access Article

        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 - Assessing Users’ Recreational Demand in Urban Parks in Tehran with the Help of the Artificial Neural Network
               
        The advantages of public green spaces are clear. However, it is hard to estimate which parks provide higher standards for users’ (both tourists and citizens) recreational demands. This study provided a model to assess recreational demands in urban parks with the help of More
        The advantages of public green spaces are clear. However, it is hard to estimate which parks provide higher standards for users’ (both tourists and citizens) recreational demands. This study provided a model to assess recreational demands in urban parks with the help of the artificial neural network. The aim was to clarify the rules of satisfaction among the users’ recreational demands in urban parks. In 22 districts of the city of Tehran, 104 local urban parks (with a high diversity of the quality of welfare services and design) were selected. Using the user-centered viewpoint, we assessed the recreational demand. A field study from 1395 to 1396 helped to investigate the role of the urban district and park service variables in increasing the demand for urban parks. Results of trained networks showed that the artificial neural network created the best function of topology optimization with a higher coefficient of determination in three categorists of training, validation, and test data. Sensitivity analysis showed that the number of urban district parks, sports areas, cultural areas, and the quality of landscape with a sensitivity coefficient of 183.5, 58.1, 52.7, and 30.4, respectively, had the highest effect on the users’ recreational demand in urban parks. The suggested model would be a decision support system in designing urban parks. Such an approach would help improve urban development based on tourism attractions and would develop urban tourism on a broader scale. Manuscript profile
      • Open Access Article

        3 - The situation of ecotourism demand Gilan province with an emphasis on social and economic factors
        mehdi hesam hasan oroji mahdi cheraghi
        Ecotourism has attracted much attention in recent years. A critical issue in ecotourism is to understand the state of demands. Demand is typically measured in terms of the tourism market. The tourism market is linked to the region of tourism products, and the characteri More
        Ecotourism has attracted much attention in recent years. A critical issue in ecotourism is to understand the state of demands. Demand is typically measured in terms of the tourism market. The tourism market is linked to the region of tourism products, and the characteristics and preferences of their representatives. Noting ecotourism, this study analyzed the demand situation of ecotourism in Gilan province. The statistical population of all tourists entering Gilan province was 384 individuals. Wilcoxon, Binomial, and T-test were used to analyze the data. The results showed that the role of geo-touristic attractions such as coasts and forest areas was essential for the present and future travel of tourists to Gilan. However, the goal of many tourists to these attractions was mere fun. Thus, they suggested little ecotourism motives. The services of the indigenous people and lodging in indigenous resorts did not have high effects on the travel of tourists and did not create much incentive for them. Manuscript profile
      • Open Access Article

        4 - Assessing the Elasticity of Health Tourism Demand from Middle Eastern Countries
        hamid  asayesh mahdi kamali hadi rahmani fazli
        Comprising medical and health (prevention) types of tourism, health tourism is of great importance for Iran, considering the country’s potential medical capabilities (the presence of qualified practicing physicians and extensive medical and treatment facilities) and app More
        Comprising medical and health (prevention) types of tourism, health tourism is of great importance for Iran, considering the country’s potential medical capabilities (the presence of qualified practicing physicians and extensive medical and treatment facilities) and appropriate natural health resources (such as hot springs, salt domes, salt lakes, and Mud therapy facilities). Moreover, the capacity of health tourism in terms of foreign exchange earnings is more than three times than that of ordinary international tourism. However, despite its great capacities, Iran has a modest share of the health tourism market, the increase in which requires the assessment of the elasticity of health tourism demand from the Middle East in terms of the relevant effective factors. Therefore, this study sought to find answers to the following basic questions: 1- What are the factors affecting the demand for health tourism? 2- What is the elasticity of the demand for health tourism in terms of such factors? To this end, this study assessed the demand for health tourism using the Almost Ideal Demand System (AIDS) and the simultaneous equation Model. Moreover, a questionnaire was administered to 182 tourists coming from the Persian Gulf countries to express their opinion regarding health tourism and estimate the elasticity of health tourism demands in terms of relevant effective factors. The results of the AIDS estimations revealed that the price elasticity of health tourism demand was greater than one, while the price elasticity of other products and accommodation services was less than one. Moreover, it was found that the elasticity of health tourists' demand from Iran belonged to significant variables such as the tourist’s income level, visa validity, expenses, exchange rate variations, and the inflation rate. Manuscript profile
      • Open Access Article

        5 - The Impact of Travel and Tourism Competitiveness Indicators on Foreign Tourism Demand in the Middle East and North Africa (MENA)
        Fatemeh Rahmani Ali Rahnama
        Today, the role of the tourism industry has been accepted as a category in creating fields of interaction between the countries of the world. Tourism in developed and developing countries is one of the basic approaches in creating sustainable employment, increasing per More
        Today, the role of the tourism industry has been accepted as a category in creating fields of interaction between the countries of the world. Tourism in developed and developing countries is one of the basic approaches in creating sustainable employment, increasing per capita income, and diversifying sources of income. Various indicators affect the development of this industry and the number of tourists attracted by countries. Due to the importance of this issue, this study examines the effect of travel and tourism competitiveness indicators on foreign tourism demand in the Middle East and North Africa. The panel data model was used to measure the impact of these indicators for 15 countries in the Middle East and North Africa (MENA) for the years 2011-2019, whose information is available in the Travel and Tourism Competitiveness Report. According to the results of this study, the three variables "air transport infrastructure", "labor market and human resources" and "price competitiveness" had the highest impact on attracting foreign tourists to the surveyed countries. Manuscript profile
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        6 - Investigating the Factors Affecting the Demand for Medical Tourism in Mashhad
        Fatemeh Rahmani pejman avazpoor
        As one of the largest and most profitable sub-sectors of tourism worldwide, Medical Tourism is considered an economic activity involving service exchanges, representing the link between at least medicine and tourism sectors. Therefore, this study sought to investigate t More
        As one of the largest and most profitable sub-sectors of tourism worldwide, Medical Tourism is considered an economic activity involving service exchanges, representing the link between at least medicine and tourism sectors. Therefore, this study sought to investigate the factors affecting the demands for medical tourism in Mashhad using the Multinomial Logit Model, which was estimated by Stata 16 software. The statistical population of the study comprised of domestic medical tourists who visited Mashhad in 2021, out of whom 150 people were selected as the participants. The dependent variable of the study was the demand for medical tourism in Mashhad, that was divided into low, high, and medium classes, and the required data was collected by administering a questionnaire. Accordingly, it was found that an increase in the quality of medical and urban services, low medical costs, and an increase in the tourists’ income would increase the demand for medical tourism in Mashhad. Moreover, the quality of medical services’ sub-indices and urban factors were also evaluated separately by the tourists who participated in this study. Manuscript profile