| With the rapid development of the modern tourism industry, there are more andmore people selected the Eco-tourisim style to relax and enjoy the nature. But, theblindfold exploitation of entironment and the excessive traveler have affected theentironment seriously. Therefore, how to explore the ecosystem resources reasonablyand how to handle the relation between the Eco-tourisim resources and the tourisimmarket became one important research topic.The paper is consist of three aspects: the capacity analysis of the Eco-tourismresources,the relevant analysis of the market demand factors as well as forecastingresearch of the future traveler number with gray system theory, and drew conclusionsas follows:1st, based on the filed investigation, the dissertation has systematically analyzedthe capacity of the scenic area, calculated the daily average traveling capacity of thethree traveling routes respectively: Hegu ecological route 321 person every day, theforest ecology line 963 person every day;Hua Shijian route 843 person every day, thetotal traveler capacity of the Baotianman Nature Preservation Zone 2689 person everyday.2nd, according the studies of Eco-tourism resources, the dissertation establishedthe market demand factor framework and analyzed these factors with the graypertinency analysis method and got the relative importance of the factors is in turn:the attraction of the Eco-tourisim resources, the education of tourists' coming area,the tourguide's quality, the transportation condition as well as the economy of thetourists' coming area, the controlled income of average per person, the populationproportion of urban which occupies in this local total population, the sex, theoccupation and the scenic area propaganda.3rd, by the pertinency analysis of the influence factors, the dissertationintroduced the the gray system theory method and established the GM (1, N)forecasting model using the factors which correlation coefficient is relative large toforecast the future traveler number from 2006 to 2009:77066,107867,150979,211322.4th, according the contrast analysis between the capacity of eco-tourismresources and the forecasted traveler number, some reasonable proposal for theeco-tourism sustainable development of research area were put forward. |