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Research On Spatial Pattern And Optimization Of Rural Tourism Scenic Spots In Jiangxi Province

Posted on:2020-04-10Degree:MasterType:Thesis
Country:ChinaCandidate:G N SunFull Text:PDF
GTID:2439330575960395Subject:Human Geography
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In recent years,the development of rural tourism in China has greatly enriched the form and content of rural tourism.The scale has expanded rapidly and has become an important growth area for tourism development.With the rapid increase in the number of rural tourist attractions,the impact of economic,policy and transportation changes on rural tourism has deepened,resulting in the continuous change of rural tourism spatial pattern in Jiangxi Province.Therefore,the spatial distribution of rural tourism needs to be comprehensively summarized.This study takes the rural tourist scenic spots of Grade 3A and above in Jiangxi Province as the research sample.Supported by SPSS software and GIS spatial analysis and mathematical statistics analysis method,including the nearest neighbor index,kernel density and spatial autocorrelation,Study and analyze the spatial pattern and optimization of rural tourism scenic spots in Jiangxi Province.Concluded as follow:(1)From the perspective of spatial distribution characteristics: the spatial distribution characteristics of rural tourist attractions of Grade 3A and above in Jiangxi Province are agglomerated;the nuclear density of rural tourism scenic spots varies greatly between cities and towns,forming a spatial layout feature of “regional agglomeration,linear distribution”;the overall spatial distribution structure is centered on the central and northeastern parts of Jiangxi Province.In Jiangxi,the “North-South and East-West” traffic axis constitutes the “well”-shaped rural tourism axis.(2)From the characteristics of the scenic type space: the scenic spots are mainly classified into five types of scenic spots: leisure and sightseeing,farming experience,agricultural science and technology,rural culture,and characteristic villages and towns;leisure tourism is the dominant type of rural tourist attractions,followed by characteristic towns;leisure and sightseeing,rural culture,and agricultural science and technology scenic spots are mainly concentrated in Shangrao City and Fuzhou City;the agricultural experience category is mainly distributed in Yichun City and Fuzhou City.(3)From the perspective of the factors affecting the spatial pattern: this paper mainly analyzes the influencing factors of the spatial layout of rural tourism in Jiangxi from two aspects of nature and humanities.Through analysis,it is known that terrain elevation,lake water system,government policy,location transportation,social economy,and tourist source market all have significant influence on the spatial distribution of scenic spots.(4)From the spatial accessibility pattern of scenic spots: the overall accessibility of rural tourism scenic spots of Grade 3A and above is better,and the regional accessibility has significant internal differences;the accessibility pattern is generally distributed along the high-speed and railway lines along both sides.The spatial pattern of the scenic spot has obvious traffic directivity;the key factor affecting the distribution pattern of the accessibility of the scenic spot is the spatial location traffic conditions and the concentration of adjacent scenic spots in the area.(5)Propose the problem of rural tourism space and optimization strategy,summarize the spatial problems of regional tourism development in 3A and above in Jiangxi Province,such as unbalanced regional tourism development,unreasonable spatial structure of tourism scenic spots,and incomplete coverage of transportation space network;it is pointed out that Jiangxi must first expand tourism resources and optimize the layout of rural tourism.Secondly,the integration of tourism resources in different regions,Finally,improve the network of tourism transportation and optimize traffic allocation.
Keywords/Search Tags:rural tourism scenic spot, spatial distribution, influencing factors, accessibility, Jiangxi Province
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