基于大数据技术的甘肃智慧旅游系统

doi:10.11959/j.issn.2096-0271.2024020

Abstract

Abstract:

With the continuous evolution of tourists' travel preferences, the traditional tourism management and service models are no longer able to satisfy modern tourists' desire for personalized and high-quality travel experiences.To address this issue, the Gansu Province Smart Tourism System has been developed.The relevant research is reviewed firstly, followed by a detailed description of the system's composition and implementation process, including the construction of the Gansu Smart Tourism Big Data Center and the design of the ＆quot;Explore Gansu with One Mobile App＆quot; comprehensive service platform.Using a layered architecture and logical framework, the system achieves the correlated mapping of tourism data and visitor behavior, along with the fusion computation of diverse data.Finally, taking examples such as the highway selfdriving traffic prediction model, the image selection model based on tourism destination impressions, and the analysis model of factors influencing sentiment in tourism reviews, the comprehensive service platform's provision of intelligent services to government, industry, and tourists is elaborated.The application results demonstrate that the system's implementation effectively enhances the quality of tourism services and visitor satisfaction in the Gansu region, further propelling the rapid development of smart tourism in Gansu.

Key words: smart tourism, big data, system application, tourism management, visitor experience

CLC Number:

TP315

Liang GUO, Yi YANG, Bingfeng QIN, Jianwen CAO, Min LI, Wei YUAN, Caihong LI, Juntao WANG. Gansu smart tourism system based on big data[J]. Big Data Research, 2024, 10(1): 157-169.

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