Tourism City Management Optimization Model Based on Sustainable Development Concept

Abstract

In response to the environmental degradation and increasing social pressures caused by over-tourism in some tourist cities in recent years, this paper developed a sustainable tourism optimization model. The model comprehensively considers three major factors: economic, environmental, and social aspects, covering six secondary indicators such as tourism revenue and water pollution index. First, this paper employed the DEMATEL-ANP hybrid method to analyze and calculate the global weights of these six secondary indicators. Next, based on indicator interrelationships, models for tourist numbers, economic development index, environmental & social pressure indices were built. Then, an optimized sustainable tourism development model was constructed using each indicator's global weight. Using the simulated annealing algorithm, this paper derived the optimal solution for the tourism sustainability index and conducted sensitivity analyses on each indicator. Research findings indicate that the impact of tourist volume and taxation is the most significant. Regarding visitor distribution across attractions, this paper developed a tourist flow optimization model and implemented it across five major attractions in Venice, Italy. The results showed that after optimization, the flow imbalance index dropped by about 64%, significantly improving visitor distribution and relieving pressure on individual attractions.