CONSTRUCTION OF JUNEAU’S TOURISM SOCIAL COST-ECONOMIC BENEFIT MODEL AND KEY FACTOR ANALYSIS BASED ON AHP AND MULTIVARIABLE ADJUSTMENT
Keywords:
Sustainable tourism model, Analytic Hierarchy Process (AHP), Economic benefit maximization, Juneau, Multivariable adjustmentAbstract
In 2023, Juneau, Alaska, received a record 1.6 million cruise visitors, bringing significant revenue but severe overcrowding. To address this, this study develops a sustainable tourism model prioritizing economic benefit maximization. It uses linear fitting/trigonometric functions for visitor numbers, logarithmic/linear functions for tourism revenue, differential equations for environmental pressure, and the Analytic Hierarchy Process (AHP) for a constrained social cost model. Analysis shows Juneau’s total economic benefit peaks at ~1,026,453 visitors, with an income-expenditure plan and feedback mechanism proposed. A multivariable adjustment approach further quantifies impacts of variables (e.g., visitor spending, tax rates) and identifies key factors (e.g., visitor numbers, glacier melting rate) to support tourism decision-making.References
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