| Tourism flow is the foundation of tourism development and an important direction of tourism research,and the use of social network analysis to study the structure of tourism flow network has attracted the attention of scholars.With the advent of the era of tourism big data,the digital footprint of tourism represented by online travelogues provides more real and effective original data for tourism flow research,which can more accurately reflect the flow law of tourism flow.Throughout previous studies,most of the research scales of tourism flow are concentrated at the national scale and regional scale,and more attention is paid to the characteristics of static tourism flow at the macro level,and the quantitative dynamic research of urban research objects needs to be continuously deepened.As the only municipality directly under the central government and one of the national central cities in the central and western parts of China,Chongqing’s unique geographical environment and climatic conditions make it rich in natural resources and human resources,and the space for tourism development is broad.Therefore,this paper takes Chongqing as the research object,and uses the octopus collector to crawl the travelogues of Ctrip.com and Qunar from 2010 to 2021,and obtains 1546 effective online travelogues.ROST CM software is used to select the appropriate number of nodes in the travelogue for subsequent analysis;UCINET was used to analyze the node characteristics and overall characteristics of the tourism flow network structure,and compared and analyzed the three time periods from 2010-2013,2014-2017 and 2018-2021 from a dynamic perspective,and explored the temporal and spatial evolution characteristics of the tourism flow network structure in Chongqing.Finally,QAP correlation analysis is used to quantitatively study the influencing factors of Chongqing’s tourism flow network structure,and put forward targeted suggestions.The results of the study showed that:(1)The structure of Chongqing’s tourism flow network has strong imbalance,hierarchy and cohesion.The density of Chongqing’s tourism flow network is 0.2423,and the network is not closely interconnected.Jiefangbei,Hongya Cave and Ciqikou are the core nodes of Chongqing,which have strong irreplaceability and play a key role in agglomeration,diffusion and intermediary in the network structure.The overall core and edge characteristics of the network show obvious core-edge characteristics,indicating that the radiation range of core nodes is limited and the interconnection with edge nodes is limited.The network forms 8 condensed subgroups,and the density values of 7subgroups and 5,6 and 7 subgroups with 3 core nodes are large,which is basically close to the network density of the subgroup.(2)From 2010 to 2021,the structure of Chongqing’s tourism flow network tends to be decentralized.In terms of network node evolution.With the change of time,the centrality of Chongqing’s tourism nodes generally showed an upward trend,and there was a phenomenon of transformation of distribution capacity in some nodes.The binding nature of each tourism node showed a downward trend on the whole,and some remote nodes still had strong constraint.In terms of overall network evolution.The distribution of tourism flow in Chongqing is uneven,the strength of network connection needs to be improved,and the radiation diffusion capacity of the entire core area and edge area of the network continues to increase.(3)The structure of Chongqing’s tourism flow network is mainly affected by factors such as location and network attention.Finally,relevant optimization suggestions are put forward from four perspectives: improving node functions,strengthening overall network connections,planning characteristic tourism routes and strengthening marketing efforts. |
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