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Smart tourism is the latest achievement of tourism development at home and abroad. It is also an essential part of the smart city. Promoting the application of computer and sensor technology in smart tourism is conducive to improving the efficiency of public tourism services and guiding the innovation of the tourism public service mode. In this paper, we have proposed a new method of using data collected by sensor networks. We have developed and deployed sensors to collect data, which are transmitted to the modular cloud platform, and combined with cluster technology and an Uncertain Support Vector Classifier (A-USVC) location prediction method to assist in emergency events. Considering the attraction of tourists, the system also incorporated human trajectory analysis and intensity of interaction as consideration factors to validate the spatial dynamics of different interests and enhance the tourists' experience. The system explored the innovative road of computer technology to boost the development of smart tourism, which helps to promote the high-quality development of tourism.
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http://dx.doi.org/10.3390/s222410008 | DOI Listing |
Acta Psychol (Amst)
September 2025
UCSI Graduate Business School, USCI University, Kuala Lumpur, Malaysia.
This study examines how green marketing communications by eco-friendly tourism providers influence tourists' intentions to visit sustainable destinations, considering the mediating roles of tourists' eco-friendly attitudes and green destination trust, as well as the moderating role of biospheric values. We adopted a cross-sectional survey of 317 tourists in China's Jiuzhaigou Valley and analyzed the data using SMART-PLS. The results show that green marketing activities significantly increase tourists' pro-environmental attitudes and trust in green destinations, which in turn enhance their intentions to visit eco-friendly destinations.
View Article and Find Full Text PDFPLoS One
September 2025
School of Geographic Information and Tourism, Chuzhou University, Chuzhou, China.
Tourist attractions, as core components of tourism product supply, play a crucial role in regional tourism development. Investigating the spatial relationship between the supply and demand of tourist attractions contributes to optimizing the spatial structure of regional tourism and promoting high-quality, balanced, and coordinated growth of the tourism industry. Taking high-grade tourist attractions in Anhui Province as the research object, this paper first analyzes the characteristics of accessibility using the time cost distance method and the standard deviational ellipse.
View Article and Find Full Text PDFSensors (Basel)
August 2025
School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.
The rapid development of intelligent high-speed railways (HSRs) has significantly improved the transportation efficiency of modern transit systems, while also imposing higher bandwidth demands on mobile communication systems. Free-space optical (FSO) communication technology, as a promising solution, can effectively meet the high-speed data transmission requirements in intelligent HSR scenarios. In this paper, we consider an intelligent HSR system based on beamwidth-adaptive FSO communication and investigate the coverage performance of the system.
View Article and Find Full Text PDFSci Rep
August 2025
School of Smart Tourism, Business Administration, Zhejiang Technical Institute of Economics, Hangzhou, 310018, Zhejiang, China.
The rapid integration of artificial intelligence across industries necessitates systematic AI literacy development in higher vocational education to prepare students for AI-driven professional environments. This study develops and validates a comprehensive competency-based ladder development pathway specifically designed to enhance AI literacy among vocational students. The research employs a mixed-methods approach combining theoretical framework construction, empirical investigation, and practical implementation validation.
View Article and Find Full Text PDFOpen Res Eur
July 2025
RINA Consulting S.p.A., Genova, Italy.
This paper reviews how European islands are taking the lead in the European Union (EU) Clean Energy Transition by reviewing the lessons learned in the EU Bridge initiative and in a number of EU co-funded projects such as NESOI, RE-EMPOWERED, REACT, IANOS, LOCALRES, MASTERPIECE, SINNOGENES, SMHYLES, STEPWISE, and ISLET. Islands encounter significant difficulties in the management of their energy systems, including strong seasonal variations in energy demand, high operational costs and GHG emissions for energy production, weak energy grids, lack of technical skills, and difficult access to finance. However, they also have positive features that make them ideal laboratories for energy transition, including high potential for renewables, small-scale and strong community structures, and high energy prices, which make most solutions cost-effective.
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