Analysis Of The China's Inbound Tourism Flow's Spatial Distribution And Evolution

Having developed over 20 years, the international tourism of china, grows out of nothing, from infancy to maturity, has turned out to be one of the fastest growing markets in the world. Both the person-time of the tourists and the foreign exchanges gained from the tourism show that China has become a big tourism country. At the same time, there are many differences and uneven development among different regions in the inbound tourism. So researches on evolution of the inbound tourism flows and exploring its dynamic rules, discovering the new traits and rules among provinces, cities and municipalities are of profound theoretical and practical significance to establish development stratagem of the region tourism, promote the development of the region's inbound tourism, enhance the management of the tourism, implement the macro-control international tourism, enact tourism layout, explore tourism resources and develop the tourism market, etc.The Chinese inbound tourism includes two layers: one is in the general layer, describing the inbound tourism flow coming from different countries; the other is in the microcosmic layer, describing the tourism flow's running in the mainland after entry.Based on the predecessor's research conclusions, the author systematically analyzes the Chinese inbound tourism flow in a spatial angle. Firstly, the paper primarily explains the background of subjects and the domestic and foreign research status and why Choosing the theme and how to resolve it. Then, the paper explains the tourism theory research. It expatiated the meaning, formation and influencing factors of the tourism flow.Secondly, it is the Chinese inbound tourism flow's spatial analysis. It analyzes the international background and dynamic changes of the Chinese inbound tourism flow. Further, it separates the mainland into 7 big regions and 31 small regions. The big regions are North China tourism flow region, East China tourism flow region, Northeast China tourism flow region, Central China tourism flow region, South China tourism flow region, Southwestern China tourism flow region, and Northwest China tourism flow region.31 small regions (excluding Hong Kong, Macao and Taiwan) are provinces, cities and municipalities of china. On this basis, we analyze the spatial distribution, spatial construction and differences.Thirdly, it is about inbound tottrism flow's analysis of hot cities. It tries to select tourism flows' fluxes and directions of 12 hot cities (Beijing, Shanghai, Nanjing, Suzhou, Hangzhou, Xiamen: Guangzhou, Shenzhen, Guilin, Chengdu, Kunming, and Xi'an) and analyzes the rules of the flows.Finally, the paper analyzes the net of inbound tourism flow. It divides inbound tourism flow into 6 classes and 3 layers. Meanwhile, it transfers the data into image by using the GIS technology and tries to construct tourism flows net.The paper attempts in the following aspect to have the innovation:(1)The research method is mathematical analysis combined with geo-analysis, using GIS technology, map analysis and so on, starting by researching inbound tourism flow and analyzing the spatial distribution, spatial construction and differences.(2)The paper selects the inbound tourism flows' fluxes and directions of our country's tourism-hot cities as the research content and it tries to find the inner relationship, spatial distribution and transference rules among tourism flow by fuzzy clustering analysis and correlation analysis.(3)The data for spatial analyzing is creditable, timely and authoritative. All of the information is Cited from Tourism Statistics Yearbook of China and Sampling Survey Of Oversea Travelers published by China National Tourism Administration, So it is really authoritative.(4)This paper strictly analyzes the collected information and data, and sums up the rules behind them. And it has a close relationship with realism, so it has both scientific value and operation significance.This paper has following deficiencies and expectation:(1)Affected by many factors like the data collection and the limitations of the statistic the difference analysis of inter-province and inter-region is not fully discussed.(2)Research method stilt needs to improve. In the analysis of flux and direction of hot cities, it can do better if it had adopted more professional software and better statistic model, which need more time to study.(3)The spatial-net analysis of the china inbound tourism isn't detailed and deep enough.