Multi-objective optimization based on dynamic planning for sustainable tourism modeling

Abstract

In recent years, many areas such as Juneau, Alaska, USA have been affected by over-tourism, which has led to ecological degradation and affected the normal life of residents. This study aims to build a sustainable tourism model, to balance economic and ecological sustainable development, and solve the problem of tourism overdevelopment. This paper researches a business system that balances economic growth and ecological health by building a multi-objective optimization sustainable tourism model based on dynamic planning. To establish a sustainable tourism model, this study takes Juneau as the research object, selects five objective functions and influencing factors, collects data on the number of tourists, annual income, and CO₂ annual emissions in Juneau, to establish the objective equations with constraints. This paper normalizes the data, sets up a dynamic weight adjustment mechanism to assign weights, and uses MATLAB to get the optimal annual results in the five aspects, and visualizes the results. Finally, a sensitivity analysis of the model is performed, and the results show that the number of tourists is the core factor affecting sustainable tourism. Based on this, this paper proposes a revenue expenditure strategy of spending 30% of the additional revenue on infrastructure development and 50% of the additional revenue on environmental protection. The study shows that the model has feasibility and practical significance, and it can effectively analyze the influencing factors of sustainable tourism, provide a basis for tourism development, and is of great significance to sustainable tourism development.