Abstract
Against the backdrop of rapid technological advancement, big data has emerged as a pivotal force driving transformation across various industries, including traditional cultural tourism. This study delves into the application of big data technologies within this sector, focusing on innovative practices such as smart conservation at the Dunhuang Mogao Caves, refined management strategies at Suzhou Gardens, and immersive experiences offered by the “Chang'an Twelve Hours” project. Through multidimensional analysis and case studies, the authors illustrate how big data optimizes operational efficiency, enhances visitor satisfaction, and promotes cultural dissemination. The findings reveal that big data not only improves tour route planning and infrastructure layout but also enables customized services that significantly elevate the visitor experience. The paper concludes with specific contributions to the field, proposing practical solutions for leveraging big data to foster high-quality, sustainable development in traditional cultural tourism.
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CITATION STYLE
Cao, R., & Cao, F. (2025). The Digital Transformation of Traditional Cultural Tourism Driven by Big Data. International Journal of Agricultural and Environmental Information Systems, 16(1). https://doi.org/10.4018/IJAEIS.392307
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