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60 city of China's inbound tourism flow network characteristics and regional evolution research

Author: LinZhiHui
Tutor: MaYaoFeng
School: Shaanxi Normal University
Course: Human geography
Keywords: inbound tourism economic ties complex network spatial structure topologystructure China
CLC: F592.6
Type: Master's thesis
Year: 2013
Downloads: 99
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Abstract


The tourism industry in China is under the background of reform and opening to the society development,inbound tourism is the main body of the entry tourism market.Since opening to the outside world,Chinese inbound tourism develop rapidly, at the same time, Chineses cities, which are the destination of inbound tourism,got rapid development.However,every city has different tourist resources,economic base and geographical location,they get different economic benefits, forming the complex relationship of both competition and cooperation, which is important to the research of inbound tourism urban system. But limited by statistics, it is difficult to research urban spatial structure in nation layer.This paper based on urban tourism economic linkage model to build national level inbound tourism city network,and used GIS spatial analysis,social network analysis method,deeply analysize the space structure,level structure and topological structure characteristic of Chinese inbound tourism cities.This study extends in theory and indepth application of social network analysis method in tourism geography.In the viewpoint of practice,this paper would provide the basis for tourism development strategy,determine the sequence of tourism resources development,optimization of tourism spatial structure and compile the relevant tourism planning for the formulation of national tourism.In the aspect of regional tourism coopration,the role and position of each city can be clear in the network,to play their own advantages for the city,improve the transport network,select the correct partners,has a positive role in promoting the regional tourism combined development.This thesis reaches several conclusions:①the main city of inbound tourism in geographic space by"eastern and western area are strong,middle area is weak"horseshoe distribution evolved into the current" eastern area is strong, middle and western area are weak"distribution.Three typical economic zones in1997,tourism scale in Bohai maximum and minimum in the Yangtze River,but in2010the situation is contrary.②There are four growth poles in the network,Beijing,Shanghai,Guangzhou and Shenzhen,which are most important tourist destination in China,the tourist amount accounted for about50%of the60cities.Beijing and Shenzhen’s market share have declined,but Shanghai and Guangzhou’s have increased③The study finds out,based on tourism economic linkage,in2010compared with1997,the city number is decreased which has great contact with other cities,but the average contact strength increased obviously,Guangzhou and Shenzhen are two most close economic ties in inbound tourism cities.④The Chinese Inbound Tourism City is a network of the average path length between1.7-2, clustering coefficient at about0.7of the "small world" networks, path length of tourism economic link between each city can be relatively short, relatively easy to become a tourist economic partner.⑤The cities in the network of tourism economic link have large development space. The overall density of Chinese Inbound Tourism City network is relatively small, but in2010compared to1997increased significantly.From the region internal, internal density of the eastern region is largest and the most closely linked, the middle region is minimum, or even less than the contact between eastern and western region; From the links between the region, Eastern has closely contact with the central and western regions. According to the E-I index can be seen, the eastern region cluster phenomenon is obvious, the western region is next, while the central area of contact point to areas outside the outgoing links, significantly larger than the area of inner relationship.⑥There are some close small groups in the network, a large number of small groups, but only occurs between a few important cities, and more to Beijing, Shanghai and Guangzhou as the center, many cities repeatedly appear in different factions.⑦This paper studies the Top10network belongs to the "core-periphery" structure, the core degree is the highest in Shanghai in1997, Shenzhen and Guangzhou, Beijing ranked fourth;In2010, the core of the four cities is basically the same, formed the situation of tripartite confrontation with four; four cities as the core, the Pearl River Delta,Bohai and Yangtze River Delta region has a core of similar, more balanced development pattern; the lowest city core degree are Xining and Lhasa, the two city not only far from the inbound tourism core cities in the geographical location, but its tourism abundance, transportation accessibility are poor, resulting in contact with other city is less, the core is low. Through the central index further analysis of the inbound tourism city in China is divided into4levels:the core city, the secondary core city, general city and edge city.The innovations of this study are:①in the research scale, general inbound tourism research, due to data limitations, research scale most confined to the provincial administrative units, and dozens of city tourism flow research in China are relatively rare. This paper breaks through the limitations of the data, on the basis of the statistical data, by means of mathematical model, built a network of60cities nationwide inbound tourism flow, and analysize the network structure.②In the research perspective, this paper breaks through the traditional revivification theory mainly to individual research paradigm, based on structuralism and holistic perspective,make the relationship between members as the research object, using the complex network theory to study the city network of inbound tourism in china.③In the research content, this paper research about comprehensive system from point, line, the whole network of three levels of Chinese Inbound Tourism City network structure in1997and2010,which is relatively long time period of the study, each level for mutual confirmation and supplement.

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