| Recent decades have witnesses a great change in tourism industry. As has been a multipleprocessing industry, tourism has gradually become one of the majoring forces for thedevelopment of whole society. With the growing expansion of the tourism industry,3A andplus national tourist attractions could be the representatives of the high level tourism industryof China. As a consequence, spatial distribution and accessibility of the tourist attractionshave been the main projects for the researches of the tourism economics as well as geography.For the improvement of the tourism industry, public transportation might play an importantrole as part of the supporting industry. Comparing the researches focusing on the spatialdistribution and accessibility of the tourist attractions in China and broad, this thesis mainlyconcentrate on the accessibility of the3A and plus national tourist attractions in31provincesand municipalities exclude Hong Kong, Macao and Taiwan which based on publictransportation with the support of geographical information systems (GIS).GIS appliance ArcGIS10.0, which has helped processing the geospatial data including spatialcoordinate information, population on province basis, national elevation, airport distributionand public transportation network with the3A and plus national tourist attractions in order toresearch into the relationship within them. Firstly,3A and plus national tourist attractionsmainly distributed in coastal cities comparing with inland cities. Secondly, the expansion oftourist attractions are normally based on population which means that higher population mightpromote the development of tourism. Thirdly, most of the tourist attractions are usuallydistributed on flat terrain while rarely in high altitudes areas. Finally, the spatial distributionof airport might have consistency with the tourist attraction, while stronger connection couldbe indicated between the public transportation network and the spatial distribution of thetourist attractions.This thesis mainly analyses the weight of the throughout capacity of the airport includingpassengers and aircrafts and the quantity of the airports, and the capacity of main railwaystations with public transportation network density based on each province, from whichranking of the accessibility of3A and plus tourist attractions in each province could becalculated with the public transportation circumstances. With the analysis of the overalloverlay results and analytic hierarchy process, comprehensive evaluation of the accessibilityof3A and plus tourist attractions could be shown.31provinces and municipalities have beendivided into three accessibility levels. The first of which includes Shanghai, Beijing, Tianjin,Liaoning province, Henan province, Shandong province, Hebei province, Jiangsu province, Guangdong province; the second level contains Shanxi province, Anhui province, Hubeiprovince, Jilin province, Zhejiang province, Shanxi province, Fujian province, Chongqing,Hunan province, Jiangxi province, Guangxi autonomous region; the third accessibility levelincludes Sichuan province, Heilongjiang province, Guizhou province, Yunnan province,Neimenggu autonomous region, Hainan province, Gansu province, Xinjiang autonomousregion, Ningxia, Qinghai and Xizang autonomous region.The results of which could show the accessibility and the spatial distribution of national3Aand plus tourist attractions as well as the relation with the economic development. Higherpopulation with convenient public transportation and protected environment could indicate ahigh level development. For instance, Beijing, Shanghai, two internationalised cities in Chinashow superior accessibility of the tourist attractions while Tibet, with lower population, andundeveloped natural resources and public transportation might indicate a lower accessibility. |
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