| With the rapid development of the Internet and tourism,network technology has been widely used in tourism.More and more tourists use the Internet platform to publish and obtain tourism information,and provide reference for their own or others' tourism decisions.As an emerging tourism project,MICE tourism is growing rapidly,and the MICE city as the carrier of its activities has been receiving attention from tourists in recent years.In 2018,the China Conference and Exhibition Economy Research Association of the Ministry of Commerce announced 142 MICE cities and their competitiveness evaluation systems.MICE visitors share and query the information of the exhibition city on the network platform,and provide the basis for their own and others' participation decision-making.In the process of inquiry and sharing,they form a network attention to the exhibition city.Analysis and research of the network attention of the exhibition city,has a certain guiding significance for the city's construction and development and management,exhibition network marketing and publicity.Based on the Sina Weibo platform,based on 142 convention cities across the country,we use the web crawler software to count the daily microblog travels of the various conference cities in 2011-2017,in order to obtain the daily network attention of the national convention and exhibition city in the past 7 years.degree.Through the spatial analysis of ArcGIS,SPSS mathematical statistics,gray correlation analysis and other analysis methods to study the temporal and spatial variation characteristics of network attention in China's exhibition cities and its influencing factors,and finally put forward the countermeasures and suggestions for the improvement of the network attention of the exhibition city.In order to provide guidance and help for network marketing and publicity,network public opinion monitoring,construction development and management of the exhibition city.The main conclusions are as follows:(1)The time characteristics of network attention in the exhibition city.In terms of inter-annual changes,the attention of China's MICE cities in 2011-2017 showed a trend of volatility.Under the interannual index measurement,interannual fluctuations were stable.On the inter-monthly changes,the attention of the MICE city network showed a trend of “double peaks and one valley” in the past seven years.The peak period appeared in March to November,the peak was March,and the trough was from December to the next year February,the trough was in January.Under the seasonal index measure,the seasonal characteristics are not obvious,and the inter-month fluctuations are stable.During the week,there was a uniform distribution within the week,and the overall attention remained stable throughout the day.(2)The spatial distribution characteristics of the network attention of the exhibition city.In terms of overall characteristics,through the analysis of the standard deviation ellipse and center of gravity,the spatial convergence of China's exhibition city network in 2011-2017 is in the northeast-southwest direction;the center of gravity is located near Anhui Province and Henan Province,and the center of gravity gradually turns to the southwest.The trend of shifting.In the spatial distribution change,using the inverse distance weight interpolation analysis,the spatial pattern of China's exhibition city network attention in 2011-2017 is changed from “multi-core” to “three groups and one belt” spatial structure,and the aggregation characteristics are obvious.On the difference of spatial distribution,the spatial distribution of attentional degree of network between China's exhibition cities is obviously uneven,showing a situation of “local concentration and overall dispersion”,and the situation of uneven spatial distribution will continue to be maintained.(3)The factors affecting the network attention of China's exhibition cities.Through the combing of the literature,the influencing factors are summarized into seven aspects of the development level of the exhibition industry,the level of Internet development,the level of tourism development,the level of economic development,the population factor,the traffic conditions and the supporting facilities,and 16 quantitative indicators of influencing factors are selected.Through the gray correlation analysis,the correlation degree of each indicator is obtained.Among them,the number of city exhibitions is the highest,and the passenger traffic volume is the least.The arithmetic mean of the correlation degree of each index is calculated,and the degree of relevance of the influencing factors is obtained.Generally speaking,the development level of the exhibition industry has the greatest influence on the network attention of the exhibition city,the traffic condition has the least influence,and the other factors have similar influence.On this basis,this paper proposes corresponding countermeasures:(1)optimize the environment,improve the facilities;(2)platform construction,build the brand;(3)regional linkage,focus on seasonality;(4)special local festivals to create. |
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