文章基本信息

标题：Construction and Design of a Smart Tourism Model Based on Big Data Technologies
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作者：QiaoRan Jia ; YiLin Cui ; E. N. X. U. A. N. LIU 等
期刊名称：Mobile Information Systems
印刷版ISSN：1574-017X
出版年度：2022
卷号：2022
DOI：10.1155/2022/1120541
语种：English
出版社：Hindawi Publishing Corporation
摘要：With the continuous advancement in technology, the tourism sector has developed to become one of the most important sectors globally in the modern period. These factors have given rise to the concept of “smart tourism,” which can be described as a step forward from conventional tourism. To achieve a true smart tourism experience, the appropriate services must be supplied to the correct user at the right time and in the most efficient and feasible manner. Keeping the importance of technology and tourism in consideration, the proposal and penetration of innovation-driven development strategies and smart tourism have become the focus of attention in the tourism industry at this stage. Smart tourism is comprised of a large number of tourists, devices, and operational processes which generate an enormous volume of tourism data. Handling such large amounts of tourism data in an effective and accurate manner is indeed an important thing to consider. To handle this issue, this study focuses on the construction and design of a smart tourism model based on big data technologies. This study explains in detail the relationship between smart tourism and big data and explores the construction of smart tourism applications in the context of big data. By explaining the relationship between smart tourism and big data, it is pointed out that the development of smart tourism needs to rely on the construction of a smart tourism application model under the background of big data. To this end, the role of smart tourism, building smart tourism platforms, improving information sharing mechanisms, exploring the implementation path of smart tourism application models, and further promoting the development of smart tourism, is of a great interest for the enterprises, scholars, and tourists. The proposed model is expected to be of a great help for the tourism industry.