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"Explore Gansu with One Mobile App"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 self-driving 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.
国家科技期刊平台
NSTL
万方数据
维普
