Analysis on Spatial Distribution and Influencing Factors of Rural Tourism Characteristic Villages in Henan Province

Feng Yunchao, Du Jiusheng, Yu Wang, Zhao Beibei
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Abstract

: In this paper, the spatial distribution situation and influencing factors of 585 rural tourism characteristic villages in Henan Province are analysed based on global autocorrelation index, average nearest neighbor index, kernel density analysis and Geodetector, and the following conclusions are drawn: (1) The spatial autocorrelation index of rural tourism characteristic villages in Henan Province is 0.224, the average nearest neighbor index is 0.636, and the coefficient of variation is 241.5%. The agglomeration characteristic of northern Henan, central Henan and southern Henan are obvious. It has the spatial distribution characteristic of ' near mountains, around cities and along roads '. (2) The results of factor detector show that the number of road mileage, tourism income, number of A-level scenic spots, expenditure on agriculture, forestry and water affairs and air quality have a great influence on the spatial distribution of rural tourism characteristic villages. (3) The results of interaction detector show that the interaction results of influencing factors are all enhanced, and the interaction between GDP and tourism income is the strongest. (4) The results of ecological detector show that the influence of river system ( 𝑋 2 ), the number of road miles ( 𝑋 5 ), the number of A-grade scenic spots ( 𝑋 6 ) and income from tourism ( 𝑋 11 ) are significantly different from the other factors.
河南省乡村旅游特色村空间分布及影响因素分析
基于全球自相关指数、平均近邻指数、核密度分析和地理探测器等方法,对河南省585个乡村旅游特色村的空间分布现状及影响因素进行了分析,得出以下结论:(1)河南省乡村旅游特色村空间自相关指数为0.224,平均最近邻指数为0.636,变异系数为241.5%。豫北、豫中、豫南地区集聚特征明显。具有“临山、环城、沿路”的空间分布特征。(2)因子检测结果表明,道路里程、旅游收入、a级景区数量、农林水务支出和空气质量对乡村旅游特色村空间分布有较大影响。(3)交互检测器结果显示,各影响因素的交互结果均增强,其中GDP与旅游收入的交互作用最强。(4)生态探测器结果表明,河流水系(𝑋2)、道路里程(𝑋5)、a级景区数量(𝑋6)和旅游收入(𝑋11)的影响显著不同于其他因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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