Applied Research Of Urban Tourism Competitiveness Evaluation Index System

With China’s urbanization level and the increase of people’s living standard of increasingly ascension, Tourism in People’s Daily life has from originally of similar luxury consumption to now the tourism development of common practice. For the city tourism, in the process of city formation and developmentm, form the basic characteristics of the city:accumulated strong historical culture atmosphere, highly concentrated the modern material civilization and spiritual civilization, more of the city has its unique tourism attraction, such as urban scenery, amorous feelings, culture, shopping, entertainment, life and other features to visitors to have a strong attraction, urban tourism has become a new social comprehensive phenomenon, more and more people pay attention to it. In the urban tourism in the vigorous development of stage, each city tourism competitiveness increasingly fierce, to the city tourism competitiveness research also is particularly important.Paper based on certain molding theoretical basis, construct a set of evaluation index system of the urban tourism competitiveness, and then expand the research methods, The urban tourism competitiveness index system of a specific index data28of the BP neural network model simulation training. The BP neural network has features of non-linear approximation ability, adaptive ability and learning ability, etc. it is good for the situition of approximation, uncertain to make decision,it can avoid other methods faults that subjective weight Settings and related coefficient calculation and other subjective factors. The urban tourism competitiveness evaluation in solving encountered in the incomplete information, and some indicators more index nonlinearity existing problemssuch as related has unique advantage. Waiting for the BP neural network training after stability, the use of the trained the BP neural network model of urban tourism competitiveness of the key factors influencing the identification, Then can get our country each city tourism competitiveness of restrictive factors, the paper analyzed the limiting factor of the city the influence of tourism competitiveness, and based on this, puts forward can improve our city tourism competitive policy proposal, the hope can for relevant departments according to city tourism development work to make the contribution.The thesis in the base of case study, get the effect on our country’s typical tourist city (Beijing, tianjin, Shanghai, dalian, Qingdao, guangzhou, shenzhen, chongqing) tourism competitiveness of the key factors, this paper summarizes the whole city tourism in China have influence the key factors. Research results with strong practical significance and guiding significance.