With the acceleration of urbanization and the vigorous rise of tourism, smart tourism, as an emerging business format, is playing an increasingly important role in the sustainable development of cities. This study aims to explore how smart tourism can promote urban sustainable development through spatial optimization and verify its application effect through empirical analysis. The research background covers the current challenges cities face, such as tight space resources, increasing environmental pressure and diversified tourism demand. The urban tourism space is refined and dynamically managed by constructing a smart tourism space optimization model combined with GIS technology, big data analysis, and artificial intelligence algorithm. The experimental results show that after implementing the smart tourism strategy, the utilization efficiency of urban tourism space has increased by 25%, tourist satisfaction has increased by 30%, and carbon emissions have decreased by 15%. In addition, smart tourism has also promoted the coordinated development of the urban economy, society and environment and promoted the transformation and upgrading of the tourism industry. This study not only provides new ideas and methods for urban sustainable development but also provides scientific basis and reference cases for the practical application of smart tourism.
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