A Study on the Spatial Distribution Pattern and Influencing Factors of Gold Medal Tourism Villages in Yunnan Province
Rural tourism villages are of great significance in promoting rural revitalization and meeting the diversified demands of different groups of people for tourism.Revealing their spatial patterns and influencing factors can provide a scientific basis for improving the service quality of rural tourism and rationally planning the rural tourism industry.This study focuses on the first batch of 100 gold medal tourism villages in Yunnan Province,ArcGIS software was used to analyze their spatial distribution characteristics and influencing factors by kernel density analysis,nearest neighbor index,unbalance index and geographical linkage rate,and puts forward some suggestions.The results show that the spa-tial distribution characteristics of gold medal tourist villages in Yunnan Province show an agglomeration to a certain extent,and there is a high-density agglomeration area between Kunming city and Yuxi cit-y.Based on this core,the spatial distribution trend of gold medal tourists is gradually descending and radiating to the surrounding cities via a ring form further.However,in terms of quantity,the distribu-tion of these tourist villages in various cities shows an uneven trend.94％of the gold medal tourist vil-lages in Yunnan Province are located in the low hills and middle mountains,and their altitude is all below 2400 m.The geographical correlation rates of the gold medal tourist villages in Yunnan Province with population,economy and 5A scenic spots were:Vp was 99.84,VEwas 99.75 and V5A was 99.41,indicating that they had strong geographical correlation with their population,economic level and 5A scenic spots.The gold medal tourist villages are generally distributed along the main highways,and 84％of tourist villages are located within a 20 km radius of the highways.However,the city with the highest density of highways does not have the highest number of tourist villages.
Gold medal tourism villagespatial distribution characteristiesinfluencing factorsYun-nan Province
万方数据
维普
