Tourism Management Studies

Artificial Intelligence and Rural Tourism: An Applied Study in Tourism Sample Areas

Document Type : Research Paper

Authors

Davood Jamini 1
Farhad Javan 2
Ramin Atashbahar 3

1 Assistant Professor, Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran

2 Assistant Professor, Department of Tourism Management, Faculty of Cultural Heritage, HandiCrafts and Tourism, University of Mazandaran, Babolsar, Iran.

3 Master's student, Department of Remote Sensing and Geographic Information Systems, Faculty of Geography, University of Tehran, Tehran, Iran

https://doi.org/10.22054/tms.2025.85190.3055
Abstract
The main goal of the present research is to conduct an applied study on the use of machine learning algorithms as a subset of artificial intelligence and to compare their performance in locating eco-camps for tourism, which was conducted as a case study in the Shamshir tourism sample area. In order to achieve the main goal of the research, ten criteria (altitude, slope, slope direction, distance from the fault, angle of solar radiation, distance from the waste landfill, land use, distance from the river, distance from the road, and distance from the village and facilities) were used. The required data was extracted from various sources such as satellite images, OSM site, and digital elevation models, and initial data processing was performed in Arc GIS Pro software. Two algorithms, RF and GTB, and GIS software were used to analyze the data. The overall results of the research indicate the remarkable accuracy.

Keywords

Rural tourism
artificial intelligence
machine learning algorithms
Ecocamp
Paveh
Subjects
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