Tourism cloud management system: the impact of smart tourism.

Yin, Fang; Yin, Xiong; Zhou, Jincheng; Zhang, Xinli; Zhang, Ruihua; Ibeke, Ebuka; Iwendi, Marvellous GodsPraise; Shah, Mohammad

Abstract

This study investigates the possibility of supporting tourists in a foreign land intelligently by using the Tourism Cloud Management System (TCMS) to enhance and better their tourism experience. Some technologies allow tourists to highlight popular tourist routes and circuits through the visualisation of data and sensor clustering approaches. With this, a tourist can access the shared data on a specific location to know the sites of famous local attractions, how other tourists feel about them, and how to participate in local festivities through a smart tourism model. This study surveyed the potential of smart tourism among tourists and how such technologies have developed over time while proposing a TCMS. Its goals were to make physical/paper tickets redundant via the introduction of a mobile app with eTickets that can be validated using camera and QR code technologies and to enhance the transport network using Bluetooth and GPS for real-time identification of tourists' presence. The results show that a significant number of participants engage in tourist travels, hence the need for smart tourism and tourist management. It was concluded that smart tourism is very appealing to tourists and can improve the appeal of the destination if smart solutions are implemented. This study gives a first-hand review of the preference of tourists and the potential of smart tourism.

Citation

YIN, F., YIN, X., ZHOU, J., ZHANG, X., ZHANG, R., IBEKE, E., IWENDI, M.G. and SHAH, M. 2022. Tourism cloud management system: the impact of smart tourism. Journal of cloud computing: advances, systems and applications [online], 11, article number 37. Available from: https://doi.org/10.1186/s13677-022-00316-3

• Journal Article Type: Article
• Acceptance Date: Aug 12, 2022
• Online Publication Date: Sep 5, 2022
• Publication Date: Dec 31, 2022
• Deposit Date: Aug 24, 2022
• Publicly Available Date: Aug 24, 2022
• Journal: Journal of cloud computing
• Electronic ISSN: 2192-113X
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 11
• Article Number: 37
• DOI: https://doi.org/10.1186/s13677-022-00316-3
• Keywords: Smart tourism; Tourism; Tourism apps; Computing and tourism; Data visualisation; Tourists; Tourist displacement
• Public URL: https://rgu-repository.worktribe.com/output/1740578