The Spatial Visualization And The Attention Model Of Tourism-A Case Study Of The Attention About The Electronic Community

The Inbound tourism is an important part and significant indicator of the tourismdevelopment. International tourist is influenced by series of factors. With thedevelopment of Internet, tourism electronic community is becoming more and moreinfluenced in the selection of travel destination. User-generated content (UGC) hasgradually become the important source of tourism behavior and perception research.This paper is focused on researching of tourism electronic community, and tryingto use the spatial information generalized from the UGC to research the situationabout tourism attention from the foreigners. These can help the researchers realize thevisualization and analysis of the spatial and temporal characteristics in order toprovide a new approach to the inbound tourism quantitative study.Based on web information collection tech, this paper designs an informationcollection process about getting information about Chinese tourism from electroniccommunity, and reconstructs these information to build a tourism text informationdatabase effectively. Three levels toponym database’s designing provides a supportingfor using text mining to obtain the information about toponym frequency.Compared with the method of describing online attention only by using thenumber of search engine keywords, this paper introduces the electronic communityhierarchy as the weighting factor and establishes the model of tourist attention basedon community UGC to adjust the focus of the model expression flexibly and optimizecalculation results.Based on the study of the famous tourist electronic community Tripadvisor, wefind that foreign community of users’ attention to China’s tourism has three typicalcharacteristics:(1) the focus of tourism is in "the Great Wall, mount Taishan, mountHuangshan, Jiuzhaigou vally, Zhangjiajie" and other small number of touristattractions, and a small amount of destination cities like "Beijing, Hong Kong,Shanghai, Guilin"; a large number of attractions and destination awareness is low with the "the long tail phenomenon" and polarization characteristics.(2) the attention spacebetween the attractions and destination cities has obvious coupling. The attractionswith high attention are near or affiliated to the cities with high attention, such asYangshuo in Guilin, the Great Wall in Beijing, Dujiangyan and Jiuzhaigou in Chengdu,the West Lake in Hangzhou.(3) the tourism attention space has shown globally thepattern of “east-central-west” from high to low and is consistent with the gradientpattern of “east-central-west” of China’s regional economy; the focus such as Beijing,Hong Kong, Guangzhou, Shenzhen, Shanghai, Chengdu is also consistent with theregional economic center.(4) In the temporal and spatial analysis, this paper focuseson the direction and scope of the attention level development, finding that the trend ofTripadvisor focusing level development is from east to west, huge to small, center tosurrondings. The tourism resources endowment, the dissemination pattern ofelectronic word-of-mouth, the geographic location and economic level are the mainfactors influencing the tourists’ attention and its spatial pattern.This paper designed a new data collection processes to realize an effectivemanagement of the toponym database and tourism text database and set up ae-community tourism attention-degree model that aims to solve the problem ofquantitative calculation of the Internet users’ attention to the regional tourism and toprovide a new thought for tourism geography study based on the UGC from theInternet. In the visualization study, the author analyzed the spatial attentiondistribution characteristics and temporal variation in the method provides a new wayfor inbound tourism research.