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28 December 2022 Real-time value of tourist big data: a case study of Red River Canyon rafting scenic spot
Jun Li, Qi Cheng, Huanyu Zuo, Bo Yu
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Proceedings Volume 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022); 1250642 (2022) https://doi.org/10.1117/12.2661969
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2022), 2022, Beijing, China
Abstract
With the acceleration of the process of “smart tourism”, the development of tourist attractions is increasingly inseparable from the support of tourist big data. In the management practice of scenic spots, the big data of tourists has become an important basis for scenic spot managers to make timely decisions. This article analyzes the real-time significance of tourist big data from the relevant perspective of the Information Theory. In terms of evidence, this article takes the Redriver Canyon Rafting scenic spot as a case to investigate its information construction, and expounds the contribution of big data in its economic benefits. Empirically, this article uses regression analysis, causal model and other methods to study the data before and after the information construction of scenic spots, and discusses the important value of real-time big data of tourists for the safety management of tourist scenic spots.
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Jun Li, Qi Cheng, Huanyu Zuo, and Bo Yu "Real-time value of tourist big data: a case study of Red River Canyon rafting scenic spot", Proc. SPIE 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022), 1250642 (28 December 2022); https://doi.org/10.1117/12.2661969
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KEYWORDS
Data modeling
Safety
Information theory
Internet of things
Radon
Telecommunications
Data acquisition
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