Abstract
AbstractPeople’s economic level is constantly improving, and many people have joined the wave of tourism. Under the background of the country actively increasing communication with foreign countries, more and more people have joined the ranks of outbound tourism. In order to explore the trend of Chinese tourists’ outbound tourism and the changes of tourism hot spots, this paper uses big data analysis, data envelopment analysis and global spatial autocorrelation to mine information. The results show that the number of outbound tourists has increased in different degrees in the past 20 years, and will fluctuate under the influence of relevant economic policies. In terms of the selection of tourist hot spots, in the early days when Chinese tourists chose to travel abroad, the first choice was the United States, Japan, etc. Later, most people chose to go to Southeast Asia around China. In recent years, the hot spots have become Bali, Africa and other countries or regions. The evolution of tourism hot spots reflects the enhancement of people’s economic strength and the increasing demand for tourism.KeywordsOutbound tourismHot area evolutionBig data analysisGlobal spatial autocorrelation
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