Construction of Big Data Security Early Warning Visualization Model for Smart Tourism Oriented Rural Ecological Scenic Spots

Abstract

Rural tourism is a double-edged sword, which not only promotes the rapid development of rural economy, but also produces a series of security problems, which affect the sustainable development of rural tourism. Based on the analysis of rural tourism safety accident cases and related literature, combined with tourism safety theory, the concept of rural tourism safety is defined. From three aspects of the subject, object and media of rural tourism, this paper systematically analyzes the influencing factors of rural tourism security, and constructs the influencing factor diagram of rural tourism subject, object and media security. In this paper, the objective weights of 10 factors (evaluation indexes) affecting three aspects of tourism safety are determined by using the method of big data. In this paper, the importance of each evaluation index is sorted, so as to put forward effective measures and suggestions to improve tourism safety. The study of two sample data shows that the evaluation results of the method are reliable and effective, which not only verifies the existing research samples, but also correctly identifies new samples. At the same time, this paper gives the value range of different tourism security levels, which is simple and practical.