Academic Journal of Business & Management, 2024, 6(11); doi: 10.25236/AJBM.2024.061112.
Ruiqi Zhou1, Yiqiao Zhang2, Shi Zhou3
1School of Finance, Southwestern University of Finance and Economics, Chengdu, China
2School of Insurance, Central University of Finance and Economics, Beijing, China
3School of Engineering, Beijing Forestry University, Beijing, China
With the implementation of the 144-hour visa-free transit policy in China, more and more tourists from different countries are willing to try to travel to China. The goal of this paper is to plan the best excursion routes within 144 hours by combining time, money, and other resources to provide tourists with the optimal travel experience. First, this paper uses the TOPSIS method and gray correlation analysis to calculate the weights and rankings of each city. The results of these analyses will help determine which cities have higher priority in tourists' travel plans. Subsequently, in the planning model, different travel routes are calculated based on the constraints such as the best overall travel experience and the lowest cost for tourists, respectively, to meet the needs of different tourists. Through this approach, this study provides scientific tools and methods for foreign tourists' travel planning and provides valuable references for other path planning problems.
entropy weight-TOPSIS-GRA grouping, traveling salesman problem, optimization model
Ruiqi Zhou, Yiqiao Zhang, Shi Zhou. Research on Tourism Strategies in China Based on Planning Models. Academic Journal of Business & Management (2024) Vol. 6, Issue 11: 81-87. https://doi.org/10.25236/AJBM.2024.061112.
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