| In the era of mobile Internet,The emergence and development of "big data" has profoundly affected many fields of social economy,changing traditional consumption patterns and accelerating social transformation,and has become a booster for innovation and transformation in social and economic activities.In recent years,the emerging social networking methods represented by geo-tagged photos have developed rapidly,making "Internet+Tourism" a unified entity of rapid integration.With the rise of current Internet big data and deeper understanding of geospatial,an increasing number of scholars have begun to expand the attributes and connotations of geospatial gradually,The transformation of the "network paradigm" and the scientific cognition of "flow space" continue to heat up.The study of tourism destination is no longer limited to a certain city internal analysis,rather,it focuses more on portraying and analyzing the network systems and their internal relationships generated by"streaming data" from multiple time and space scales.The flow of tourists is not only an important premise for obtaining accurate trajectories of tourists based on the internal scale of spatial organization,but also the original dynamic and core expression based on the regional scale closely related to social economy and tourism activities.The growth and formation of the tourist flow network system further explains the characteristics of social mobility.It is changing in the form of flow and constantly changing the characteristics,functions,structure and relationship of the destination network system,which has become the focus of current academic circles.With the increasing function of urban agglomeration,the connection between the scenes becomes closer and more complex within the geographically adjacent area,forming a nonlinear complex network relationship.It is the formation of such a complex network that produces a broader spatial influence,focusing scenic spots of different natures,levels and scales on different spatial and temporal scales,and exerting the functions and values of their respective nodes under the guidance and action of flow space.The study follows the research ideas of finding problems,analyzing problems and solving problems,synthesizing multi-disciplinary theories and research methods,revolving around the research line of "characteristic analysis-process analysismechanism discussion-model refinement",focusing on the scientific issues of the multiple temporal and spatial scale characteristics and evolution patterns of the tourist mobile network structure.The research content is divided into three parts,The first part is the basic research,including the first chapter and the second chapter,mainly elaborated the research background,research goal and the research significance,research ideas and research contents,research methods and technical route,the general situation and the research object,it also defines the related concepts of tourism network,multiple temporal and spatial scale,as well as reviews and prospects related research at home and abroad,and gives the theoretical basis of this research.The second part is the empirical part,including chapters 3 to 6,which is the core part of this study.In this part,the data of the excavated tourists will be processed and calculated,and the ideas and methods of network construction will be given to provide materials for the orderly development of the research.On this basis,the multiple temporal and spatial scale evolution analysis of tourists’ flow is carried out from multiple time and space,and the results are summarized and refined in typical model.The third part is the conclusion and prospect,namely chapter 7,which concludes the main research conclusions,innovations,shortcomings and future research prospects of this study.Based on geo-tag images,with a variety of analysis techniques and methods,such as data mining technology,social network analysis technology,GIS spatial analysis technology and DBSCAN clustering algorithm,This study analyzed the multiple temporal and spatial scale evolution process and its model of the tourist mobile network structure,and tentatively constructed the typical model of tourist flow under different time and space scales,providing a theoretical reference for the complex network evolution of tourism flow.The research found that:①from the perspective of the level of flow nodes,for Suzhou,Humble Administrator’s Garden,Liuyuan Garden,North Temple Tower,Pingjiang Road Historic District,Guanqian Street,Hanshan Temple,Tiger Hill and Lion Forest constitute the core nodes of the tourist mobile network,and occupy the dominant position in the urban internal flow network.For SuXiChang area,Humble Administrator’s Garden,Liuyuan,Huqiu,Guanqian Street,Jinji Lake,Pingjiang Road Historic District,Lingshan Shengjing,Lion Forest,Hanshan Temple,Qilishantang,Panmen Scenic Area and other scenic spots constitute the core node of SuXiChang area,and dominated The direction of change in the mobile network.For the Yangtze river delta region,Shanghai Disneyland,West Lake,Confucius Temple—Qinhuai Scenic Belt,Oriental Pearl,Humble Administrator’s Garden,Shanghai Bund and Zhongshan Scenic Area constitute the core nodes in the regional tourism network.②By analyzing the daily,monthly,and annual flow,as well as flow constraints and different distance constraints for 2010,2014,and 2018 in Suzhou,SuXiChang,and the Yangtze River Delta,it found that,in the day of scale,for Suzhou,The tourism flow presents radioactive features obviously that extend from the central scenic spot of the ancient city to the peripheral nodes in the city.For SuXiChang,The traffic between the internal nodes of Suzhou city always occupies a large proportion.Although the scale has been expanded from the original Suzhou city to the SuXiChang area,the internal core nodes of Suzhou can still form an impact on the cross-city nodes,forming a radioactive feature that extends from the internal central node of Suzhou to the peripheral nodes of the city and the external nodes of the city.For the Yangtze river delta region,it is not only reflected in the significant increase in the number of scenic spots within the city over time,but also the links between the nodes across cities are significantly enhanced.Compared with the daily scale flow network,the monthly and annual scale flow network becomes relatively stable but more complex,but the overall flow characteristics are similar to the daily scale.③ Mainly reflected in the internal nodes of Suzhou City,due to the constraints of traffic,the path between nodes has changed greatly,however,the ’core—periphery’structure always existed.The mobile network of the internal nodes in Suzhou always took the central node of Gusu district as the core,and established the connection with the divergence of the surrounding radioactivity,forming a spatial structure pattern of’awl’ type in space.Compared with Suzhou,the SuXiChang area presented a radioactive feature that extended from the central central scenic spot of Suzhou to the peripheral nodes and the external nodes of the city under the constraint of flow,forming a’one core—multiple point’ spatial structure pattern.Relative to Suzhou and SuXiChang regions,for the Yangtze river delta region,the constraints of traffic made its internal structural features more and more clear,and the inter-city connections within nodes in the city were close.As time went by,the flow of traffic between cities become more and more obvious.In the process of this game,the traffic between nodes within the city always played a dominant role,controlling the stability of the mobile network,a "polygonal" spatial structure model was formed with internal nodes in Shanghai,Nanjing,Hangzhou,Suzhou,Ningbo and other cities as the core,and internal nodes and cross-city nodes closely connected. |
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