Document Type : Origional Article
Authors
1
Professor of Geomorphology, Department of Natural Geography, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran
2
Bachelor of Business Administration student, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran.
3
Phd student of geomorphology, Faculty of Social Sciences, University of Mohaghegh Ardabili. Ardabil, Iran
4
Bachelor of Business Administration student, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran
Abstract
Background and Aim: Tourism as a modern phenomenon has an economic nature and has a special role and importance for countries that have this capacity. Geotourism is a combination of the words "geo" meaning earth and "tourism" meaning tourism. The purpose of this research is to evaluate geotourism potentials and its management in the tourist area of Andimeshk township.
Methods and Material: The research method in this study is based on two models: Serrano-Gonzalez-Truba and Kubalikova. The Serrano-Gonzalez-Truba model is suitable for evaluating geosites located in protected areas. Geosites are evaluated in this method based on three main criteria that help evaluate scientific and management values and are considered a suitable method for the studied area. In the Kubalikova model, the criteria are classified into five groups: scientific and intrinsic values, educational values, economic values, conservation values, and other values, which cover almost all geotourism features.
Results and Discussion: The results of the evaluation based on the Serrano-Gonzalez-Truba model showed that the geomorphosite of the Chehelpa region has obtained the highest score. Also, in the cultural evaluation, the Dez Dam has the highest score, and in the field of geomorphosite usability and management capabilities, the Valfajr coastal tourism area has received the highest score. The results of the Kubalikova model evaluation also indicate that the Dez Dam and the Karkheh Dam have obtained the highest score in terms of geosite valuation, and Qaleh Razeh has the lowest score. Therefore, based on the validation of the models, it can be concluded that the Dez geotourism area in Khuzestan has a great potential for development by obtaining the highest score. Finally, it is suggested that in future studies, artificial intelligence should be used to evaluate the geotourism areas under study and achieve more accurate results.
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