Research on Sustainable Tourism Development Path Based on Dynamic Regulation and Multi-Objective Optimization

Abstract

The rapid development of the tourism industry brings economic benefits but also triggers environmental and social issues. This study addresses problems such as glacier retreat and ecological destruction caused by over-tourism, constructing a system dynamics model that integrates environment, economy, and society to comprehensively tackle key challenges in the tourism development of Juno City. The research employs various methods, including systems dynamics, nonlinear optimization, and sensitivity analysis, to quantify visitor numbers. This not only provides scientific and reliable decision-making support for Juno City's sustainable tourism development but also has significant potential for application and promotion, offering valuable insights for tourism development in other regions. The results indicate that seasonal visitor numbers should be dynamically regulated, adjusting investment structures through changes in environmental protection investments, community project investments, and tax rates to control visitor numbers and achieve sustainable tourism goals.