SHS Web Conf.
Volume 151, 20223rd International Symposium on Economics, Management, and Sustainable Development (EMSD 2022)
|Number of page(s)||8|
|Published online||16 December 2022|
Evaluation of rural tourism development conditions of typical villages in qilian county based on ahp-fce
School of Geography ScienceQinghai Normal University Xining, China
Through the evaluation of the rural tourism development conditions of typical villages in Qilian County, the rural tourism level of Qilian County is divided at the current stage, and it provides reference suggestions for the promotion of rural revitalization of rural tourism in Qilian County. Based on the two perspectives of tourism basic conditions and tourism participation, the index evaluation system is constructed, the hierarchical analysis method is used to calculate the weights of each indicator, and the fuzzy comprehensive evaluation method is used to calculate the rural tourism development condition level of 17 typical villages in Qilian County. The tourism development conditions of typical villages in Qilian County are generally good, and they are divided into 3 types, 2 excellent-level villages, 13 better-level villages, and 2 general-level villages. Among them, the score of infrastructure conditions is 1.665 to 2.212 points, the gap is small, and the difference in tourism participation status score is 1.103 to 1.935 points, and the gap is significant. The overall tourism development conditions of Qilian County are better and the future development potential is large; the tourism development conditions of its typical tourist villages show a decreasing distance trend with Zhuoershan-Amidongsuo as the core; the rural tourism service system in the county is gradually improved but the endogenous development capacity is weak, and it is appropriate to establish a development route according to the spatial layout and the classification of each village.
Key words: Analytic hierarchy process / fuzzy comprehensive evaluation / rural / tourism development evaluation / Qilian County
© The Authors, published by EDP Sciences, 2022
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