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Research On The Structure Of Tourist Flow Network In Urban Scene Based On Network Travel

Posted on:2017-10-16Degree:MasterType:Thesis
Country:ChinaCandidate:X C LiFull Text:PDF
GTID:2359330518489969Subject:Tourism Management
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With the acceleration of urban tourism process,research on tourism flows in the urban areas is increasingly significant.Digging through the big data of urban visitors'flow is the key to tourism development at present.In this study,Suzhou City is taken as a case,with the in-depth analysis of Ctrip and Mafengwo's Internet travel notes at specific time.After further processing,a Suzhou urban resorts flow network has been constructed.Via social network analysis method and GIS spatial analysis law of tourists' flow characteristics,five factors influencing the flow network has been summarized and suggestions for optimizing the network from the dimension of overall network,network nodes,regional integrations has been put forward.Main conclusions of this study:(1)Density of Suzhou urban resorts tourists'flow network and city central potential is relatively in a low level and the network presented in a looser structure and imbalanced development.There is still a space for future optimization and integration(2)The 52 scenic nodes selected in the study differs a lot in ccentrality and structural holes.A clear hierarchy of nodes has been presented.Core edge nodes should have a leading role.(3)Suzhou urban resorts tourists' flow network exhibits certain differences in' different time and space and the network structure is growing complete and mature.,links between nodes is closer.Competition and cooperation mechanism between the attractions is growing,forming a virtuous circle.(4)factors influences the structure formation of Suzhou's urban scenic tourist flow network are:tourism resource endowments,basic infrastructure,urban transport accessibility,scenic spots' visibility and marketing level,the resorts'spatial proximity factors.These factors interact thereby forming a flow network with a certain structural features.In this study,by digging online large data,integrated the use of social network analysis method and GIS spatial analysis to study structure characteristics and factors of visitors flow,making up for the previous data deficiencies which only rely on statistical yearbooks and questionnaires,also plays a complementary role in the study of small scale urban tourism flows at present.It offers optimization proposals at different levels,providing scientific evidences for urban planning,tourism resources development,tourism spatial structure optimization of the city in the case,promoting cooperation between the resorts within the city,strengthening the tourism agglomeration effect,promoting urban tourism to develop with characterization,differentiation and cooperation.
Keywords/Search Tags:Internet travel notes, Flow network, social network analysis, Structure characteristic, Suzhou
PDF Full Text Request
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