Research Article
ProbStudy on Factors of Tourism Situation Under COVID-19 Epidemic Situation
@INPROCEEDINGS{10.4108/eai.17-6-2022.2322862, author={Xinlin Yang and Honghao Sheng and Zhechen Liu}, title={ProbStudy on Factors of Tourism Situation Under COVID-19 Epidemic Situation}, proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2022}, month={10}, keywords={covid-19 tourism ahp analytic hierarchy process k-means}, doi={10.4108/eai.17-6-2022.2322862} }- Xinlin Yang
Honghao Sheng
Zhechen Liu
Year: 2022
ProbStudy on Factors of Tourism Situation Under COVID-19 Epidemic Situation
ICIDC
EAI
DOI: 10.4108/eai.17-6-2022.2322862
Abstract
COVID-19 has a significant impact on the tourism industry. This paper collects the longitude and latitude information of the national 5A scenic spots and draws the relative distribution map and scatter plot through the particle swarm optimization algorithm. It is concluded that the distribution of 5A scenic spots is related to their geographical location. After that, we use the DESTEP analysis model and PESTEL analysis model to analyze the factors that may affect the evaluation level of scenic spots and the relationship between them. Then the comprehensive scoring formula of the scenic spot is obtained based on the AHP analytic hierarchy process and entropy method. The index system to measure the reception capacity of the scenic spot is constructed, and the variance and standard deviation are tested. Finally, the method of K-Means cluster analysis is used to classify the scenic spots and determine the comprehensive score of the scenic spots in the collected data. The lower the potential risk of the epidemic in the region, the smaller the scope of the scenic area, the lower the potential risk of the epidemic in the region, the smaller the flow, the greater the maximum instantaneous carrying capacity of the scenic spot; take the government as the main body, put forward differential management schemes for scenic spots with different risk levels.