| With the rapid development of Internet and tourism,the Internet is widely applied into tourism industry.Tourism enterprises use the Internet to publish travel information and tourists obtain these travel information from the Internet.As a new type of tourism activity,research tourism combine the tourism and education together.Then it is gradually caused attention and loved by tourists.In early 2016,the National Ministry of Culture and Tourism(National Tourism Administration)awarded Tianjin Binhai aircraft Carrier theme Park,the Xibaipo Memorial Hall and other eighteen units as the "National Research Tourism demonstration Base." Tourists hunt for the information of research tourism on the network,leaving the trace of search.Thus it forms the network attention of the research tourism.This paper uses Excel statistical and ArcGIS spatial analysis method to study the spatial and temporal distribution of the online attention of twenty research tourism bases in China from the January to December of 2016.The paper also discusses the influencing factors of the research tourism network attention by using the gray relational analysis method.At the end,the paper puts forward some suggestions to enhance the network attention of the research tourism.The purpose is to expand the application of information geography in tourism and enrich the research content of research tourism.On the one hand,it provides guidance for the development and construction of the tourism base along with the marketing management and the forecast of the actual passenger flow.On the other hand,it can grasp the relationship between the realistic development of tourism and the demand of tourists,which helps promote the experience of tourists and the rapid development of high-quality tourism.The main conclusions are as follows:(1)The temporal distribution characteristics of research tourism network attention.Firstly,from month's perspective,according to the distribution characteristics,twenty research tourism bases are divided into four types.One is "gentle" type,which has no obvious peak period.There are seven bases belong to the "single peak" types with peak periods in July or August.Eight bases are "double peaks" with peak periods in April and October,or April and August,or August and October.There are four bases are "three peaks",which the main peaks are in July and August,the secondary peaks are in March,April and October.The characteristics vary by months.We can find the peak seasons are the spring,the summer and the autumn,the weak season is the winter.We can also discover that the peak season is long and the weak season is short.Secondly,from the point view of the inter week features,there are twelve research tourism bases belonging to the types of "high working days,low weekends" and eight bases vesting in the "low working days,high weekends".Finally,from the perspective of holidays,the peak period of research tourism network attention is synchronized with the change of holiday days,which means the longer the holiday period,the longer the peak period.The peak period appears before the festival,and the peak of attention is earlier than the peak of real travel.(2)The spatial distribution characteristics of research tourism network attention.Firstly,on the whole,the focus of research tourism network attention is in the southwest of Henan Province and the northwest-southeast direction is higher than the northeast-southwest direction.Secondly,the research tourism network attention present the circle distribution characteristic:the mid-west attention than the eastern,southern than northern.The high value areas are in the central region and the southwest region.The low value areas are in the northeast,north China,northwest and the South China.Finally,according to the tourism resources,the research tourism bases belong to six main categories:biological landscape,geo-landscape,water scenery,ruins,construction facilities and tourist commodities.There are nine bases belong to the building facilities.The building facilities have the largest concern and the ruins are ranked second.The water scenery's average concern is higher and tourism commodity's concern is the lowest.There is still a lack of human activities and celestial climate bases.(3)This paper summarizes the influencing factors of research tourism network concern into seven aspects:the level of research tourism development,the level of tourism development,the level of economic development,the level of Internet,population factors,traffic conditions and supporting facilities.Then we select eighteen factors.According to the gray correlation analysis,the correlation of each factor is obtained.In terms of single index,the correlation degree of study tourism base's grade is the highest and the correlation degree of transportation route length is the least.By calculating the average value of the various indicators,we can get the correlation degree of the seven influencing factors.In general,the level of research tourism development has the greatest influence and the influence degree of traffic condition is very little.The correlation degree of the other five aspects is very close.(4)Based on the analysis of the spatial and temporal distribution characteristics and the influencing factors of the research tourism network attention,this paper puts forward some suggestions to help enhance the research tourism network attention degree:Each region should make full use of the local tourism resources,deeply dig out the characteristics,and actively apply for the national research tourism base.Paying attention to the construction of tourism supporting facilities and creating a good environment for tourism and study.In the east area,the construction of research tourism network should be developed in the direction of specialization,theme,brand and depth experience.The central region should focus on the different base features and should pay attention to the network differentiation marketing.The western region ought to gradually perfect the construction of network infrastructure and tourism website platform.Then the network marketing should pay attention to the seasonality and difference to help launch the products and carry on the targeted propaganda to the different market. |
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