Spatial analysis of indicators affecting the development of tourism in rural areas (Study case: Gilan province)

The present study was carried out with the aim of analyzing the indicators affecting the development of tourism in the rural areas of Gilan province. This research was done in terms of methodology, descriptive and analytical, and in terms of data collection, it was done in a documentary and survey way. To achieve the goal, by data mining of regional documents related to the research topic in the province, 268 subcategories were extracted in the form of eight explanatory categories effective on the development of rural tourism in the region. According to the content of the questions, a group of 35 people composed of experts from seven organizations in Gilan province was considered to answer the questionnaire. In order to determine the effective indicators in the development of rural tourism in the province, the results of the final weights of the categories obtained from the average methods of fuzzy, critical, savia, kilos and entropy hierarchical analysis showed that the categories of economy and agricultural products, cultural and natural capabilities, respectively, have the largest share in this respect. assigned to themselves In order to measure and stratify the cities of the province in terms of rural tourism development, five multi-indicator decision making models such as Fuzzy TOPSIS, Fuzzy Vicor, Fuzzy Electr, Fuzzy Vaspas, and Fuzzy Aras were used. After extracting the initial coefficients and ranks from each technique, they were determined based on the matrix of aggregation methods of the coefficients and ranks of the cities. The results of this section, along with spatial analysis with the help of geographic information system, showed that Rasht and Lahijan are among the best regions of the province in terms of rural tourism development, while Shaft, Masal and Fuman were recognized as three cities with an unfavorable situation.