基于模糊综合评价法的乡村旅游发展适宜性实证研究

IF 3.1 Q1 Mathematics Applied Mathematics and Nonlinear Sciences Pub Date : 2024-01-01 DOI:10.2478/amns-2024-0119
Binbin Zhang, Shiheng Yang
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引用次数: 0

摘要

近年来,乡村旅游发展迅速,已成为乡村旅游经济发展的重要增长点。本文基于模糊综合评价法构建乡村旅游发展适宜性评价指标和评价等级,以Z地2016-2020年乡村旅游发展适宜性为研究对象,结合灰色关联分析和灰色模糊综合评价计算得到各年度的指标权重、综合得分和等级结果,对Z地15个村的旅游适宜性进行打分分析,并将这些乡村旅游适宜性分别划分为不同等级。2016-2020年Z地乡村旅游发展适宜度得分总体呈上升趋势,2018年上升幅度为6.76%,提升速度最快。一级指标中经济发展权重最高,为0.837,其次是旅游资源、基础设施和人力资源,分别为0.758和0.734。从综合得分来看,2016-2020年旅游适宜度整体提升,2017年、2018年综合得分均大于0.7,评价等级为 "中",2018-2020年综合得分均大于0.8,评价等级为 "良"。
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Empirical research on the suitability of rural tourism development based on fuzzy comprehensive evaluation method
In recent years, rural tourism has developed rapidly and has become an important growth point for rural tourism economic development. This paper is based on the fuzzy comprehensive evaluation method to construct the evaluation indexes and evaluation levels of rural tourism development suitability, taking the rural tourism development suitability of place Z from 2016 to 2020 as the research object, combining the analysis of gray correlation and gray fuzzy comprehensive evaluation calculation to get the weights of the indicators, the comprehensive scores and the level results of each year, and scoring and analyzing the suitability of the tourism of the 15 villages of place Z, and dividing these rural tourism suitability were divided into different levels. The score of rural tourism development suitability in Land Z during 2016-2020 showed an overall increasing trend, and the rate of increase in 2018 was 6.76%, which was the fastest rate of improvement. Economic development receives the highest weighting among first-level indicators with 0.837, followed by tourism resources, infrastructure, and human resources with 0.758 and 0.734, respectively. In terms of the overall composite score, the tourism suitability of 2016-2020 has increased as a whole, and the composite scores of 2017 and 2018 are both greater than 0.7, with an evaluation grade of “medium”, and the comprehensive scores of 2018-2020 are all greater than 0.8, with an evaluation grade of “good”.
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来源期刊
Applied Mathematics and Nonlinear Sciences
Applied Mathematics and Nonlinear Sciences Engineering-Engineering (miscellaneous)
CiteScore
2.90
自引率
25.80%
发文量
203
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