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Tourism Big Data and Its Application

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DOI: 10.25236/iiiece.2022.019


Meiwei Tang, Xue Ren

Corresponding Author

Meiwei Tang


This study sketched the basic structure, characteristics, and applications of tourism big data for mobile network operators (MNOs). We discuss the specific impact of big data on tourism statistics and take Nanjing of China as examples to illustrate the application of it in tourism statistics. The innovation of this paper lies in the following two aspects. We theoretically expound the impact of big data from the perspective of tourism statistics. And in terms of application, we put forward the methods of calculating tourist amount by using MNOs. Findings clearly indicate that applying big data to tourism statistics can promote tourism data more timeliness, accuracy and complete.


Big data, Mnos, Tourist flow