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Embracing Nature: An Optimization Model for Sustainable Tourism Development
DOI: https://doi.org/10.62381/ACS.ATSS2025.15
Author(s)
Kaixuan Ni
Affiliation(s)
Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China
Abstract
Juneau is a small city with a population of only 32,000, close to Canada. Due to the glacial mountains, the only way to get to Juneau from the rest of Alaska is by boat or airplane. The Mendenhall Glacier, located locally, is a well-known attraction and is visited by a large number of tourists during the cruise season, which runs from early April to the end of October each year. However, the growth of the tourism industry has had negative impacts there, such as the receding glacier and a decline in the quality of life for residents. In order to make the tourism industry in Juneau sustainable, we constructed an optimization model to give suggestions for specific measures. Additionally, we further generalize the model. Among the over-tourism regions, we choose Beijing as the research object. The ecological footprint and sustainable development indicators of the region are considered and measures are proposed to fit Beijing's own situation. Besides, among the regions with few tourists, we choose Qinghai as the target. The data were also processed and analyzed, and the final results show that its tourism industry is declining due to the decrease in the number of tourists. Our suggestion is to promote the natural beauty of the area to attract tourists and thus to see the sustainable development of the tourism industry.
Keywords
Ecological Footprint; Linear Regression; Fuzzy Comprehensive Evaluation; Optimize; Analytic Hierarchy
References
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