Rapid Prediction Algorithm for Economic Development Trend of Tourism Using Markov Chain

Abstract

The environment for tourist development will be increased further if the people-centered development concept is fully implemented, and people’s desire for a colorful tourism life will be boosted. This includes the new kinetic energy of digitalization and networking, which has contributed more and more to economic development. The people-centered development concept also includes the sudden new crown pneumonia outbreak that has had a major influence on the tourism sector; the tourism industry’s robust expansion will not change as a result. There is a reason to assume that tourism will become a key business that contributes to the long-term economic and social growth of China. With the Markov chain to forecast the development tendency of the tourism economy, this paper constructs characteristic indicators such as the number of duty-free shopping on outlying islands, the per capita spending of outlying island rabbit tax shopping, and the number of ecological civilization villages, using the era of free trade ports as a backdrop. The experimental results shows that the proposed idea of this paper is realistic and can have a significant impact towards designing a national ecological civilization pilot zone, international tourism consumption center, and the creation of tropical rainforest national parks.