Study On Evaluation And Management Of Tourism Resources In Mountain Jiuhua Scenic Area

In recent years, with the improvement of people’s living standard, the tourism industry has got unprecedented development. Tourism industry is a service industry, as the manager must understand the quantity and timely needs of tourists, in order to develop good long-term planning for the scenic tour. Therefore, how to accurately predict the number of tourist scenic resorts and evaluate the current tourism resources are the two important issues affect the future development of scenic spots. This article summarizes the research status of tourism management.Taking the Mount. Jiuhua scenic area as an example, the current situation of the current scenic spot is evaluated,and the number of tourists in the next few years is predicted, and the main problems are solved in the light of the evaluation results.The main work of this paper is as follows:1. This section evaluates the tourism resources of Mount.Jiuhua scenic area. First of all, to determine the impact factors of tourism in Mount. Jiuhua Scenic Area.By using the analytic hierarchy process, a framework of evaluation index system consisting of 1target layers, 3 criteria layers and 11 content layers was constructed.Then take the form of questionnaire survey, evaluate the tourism resources of Mount Jiuhua scenic area and analyze the results.2. Tourists number prediction is an important part of tourism development planning,this section in Jiuhua Mountain Scenic Area in recent ten years the number of tourists as the basis, using BP neural network and the GM(1,1) model to the prediction of Jiuhua Mountain scenic area tourist arrivals respectively. Experimental results show that the BP neural network to predict the number of visitors is more accurate, and in order to predictthe next five years, the number of Mount Jiuhua Scenic Area.3. According to the results of the evaluation of tourism resources, the main problem currently exists is to be scenic holiday traffic problems, this section presents a tourism-based network traffic theoretical maximum flow control model, by controlling the lines on the number of visitors, so that visitors do not feel crowded, and bringing the total number of reception maximized.