The Analyses Of Optimizing The Kaifeng Tourist Industrial Structure

As a tourist city with long history and deep cultural connotation, Kaifeng unique culture of northern song dynasty and chrysanthemum made it has a certain impact in the province and the country. After nearly30years of development, Kaifeng tourism have begun to take shape, occupied the important position in Henan province. But in recent years, though the number of the tourist was growing constantly, but its total tourist revenue and per capita consumption did not growth in the same pace, presented very low status. Not only fell behind in Zhengzhou and Luoyang, but also Jiaozuo. The reasonable tourist industrial structure is necessary condition of tourism’development, so, in order to understand the reason of the "low status", it is necessary to research the tourist industrial structure of Kaifeng.The article puts the Kaifeng tourist industrial structure as the research object, on the basis of surveying its current situation, uses of "shift—hare " method to analysis the rationality of tourist industrial structure. Then uses the method of "Grey Relational Analysis" to analysis the relevancy between scenic spot, traffic, repast, lodging, amusement, shopping, post and telecommunications, and the total tourist revenue, finds the factors of impacting the tourist revenue. In view of the results, analysis the problem of Kaifeng tourist industrial structure, trying to find the reason of effecting tourist industrial structure being in low status, exploring its goal and principle, and proposing optimized measures from the "uppermost factor","secondary factor","least factor" of leading Kaifeng tourist industrial structure being in low status, helping Kaifeng adjusting industrial structure, making it developing bigger industrial benefit and progressing better.Exploring:firstly, used some theories to the research of Kaifeng tourist industrial structure, changed previous study, combined the research of Kaifeng tourist industrial structure with other factors; secondly, used date analyse into the research of Kaifeng tourist industrial structure; thirdly, divided the factors of impacting the number of the tourist into three levels, respectively presenting optimizing structure.