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Study On Spatial Distribution Characteristics And Influencing Factors Of Health And Wellness Tourism Destinations In Wuhan

Posted on:2019-12-10Degree:MasterType:Thesis
Country:ChinaCandidate:W C XieFull Text:PDF
GTID:2429330548968379Subject:Regional tourism and the environment
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At present,tourists have changed from purely sight-seeking“eye-raising”tourism to“well-being”and“nourishing heart”combined physical and mental tourism,health and wellness tourism is showing a booming trend,Wuhan city holds close attention to the new situation of tourism development,actively develop health and wellness tourism,however,there are few researches about this in Wuhan.In view of that,50 health and wellness tourism destinations in Wuhan City are taken as the research samples,the spatial distribution and its influencing factors are discussed,and the optimization research is put forward.to reveal the spatial distribution rule of health and wellness tourism destination in Wuhan,it will provide theoretical basis for the development of Wuhan's health and wellness tourism.This paper is based on ArcGIS to study the spatial distribution characteristics of health and wellness tourism in Wuhan,the main contents of the research include:The first part is the introduction.It mainly expounds the background of the topic,the significance of the research,the summarization of research on the health and wellness tourism in the country and abroad,the research content,methods,and the technical route.The second part is the theoretical basis and the case study.The main contents include the concepts of health and wellness tourism and it's destination,and basic conditions for the selection of health and wellness tourism destination,the theoretical basis of this study,and a case study for the health and wellness tourism destination.The third part is the research method and data source.the main content includes ArcGIS spatial analysis method,as well as the source of the data and the reliability and validity test of the data.The fourth part is the spatial distribution characteristics of health and wellness tourism in Wuhan.Firstly,based on spatial distance distribution characteristics,through the use of the nearest neighbor index,Gini coefficient,and nuclear density analysis methods,the research shows that the overall spatial distribution of Wuhan's health and wellness tourism destination is clustered;the spatial distribution of health and wellness tourism in various administrative regions is also uneven;the interior of the space is in a distribution pattern of“large dispersion and small concentration”;from the difference of spatial distribution,the size of the main city is generally greater than the Wuhan city average at the same time is greater than the new city.Finally,the research on the distribution characteristics based on the time distance can be achieved,most of the health and wellness tourism destination have good accessibility,moreover,it has obvious characteristics along the distribution of traffic trunk.The fifth part is the study on the influence factors of the spatial distribution of health and wellness tourism in Wuhan.Use correlation analysis and ArcGIS spatial analysis methods to study its influencing factors,the research results show that it is mainly influenced by five factors:rivers and lakes,resource endowments,traffic conditions,policy guidance,and medical conditions.The sixth part is the research on the spatial optimization of the health and wellness tourism in Wuhan.Based on the spatial distribution characteristics and its influencing factors,the author puts forward some suggestions,the new urban area and the main urban area will play their respective advantages and strengthen exchanges and cooperation with each other,ultimately realize the sustainable development of the health and wellness destination in Wuhan.The seventh part is the conclusion and prospect.the main conclusions of this paper are summarized,and research also needs to be improved in the future.
Keywords/Search Tags:health and wellness tourism, the spatial distribution, influence factors, Wuhan city
PDF Full Text Request
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