Yin Fang, Yin Xiong, Zhou Jincheng, Zhang Xinli, Zhang Ruihua, Ibeke Ebuka, Iwendi Marvellous GodsPraise, Shah Mohammad
Business School, Sichuan University, Chengdu, 610065 China.
Business School, Geely University of China, Chengdu, 641400 China.
J Cloud Comput (Heidelb). 2022;11(1):37. doi: 10.1186/s13677-022-00316-3. Epub 2022 Sep 5.
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.
本研究探讨了利用旅游云管理系统(TCMS)在异国他乡为游客提供智能支持,以提升和改善其旅游体验的可能性。一些技术通过数据可视化和传感器聚类方法,使游客能够突出显示热门旅游路线和环线。借助于此,游客可以访问特定地点的共享数据,了解当地著名景点的位置、其他游客对这些景点的感受,以及如何通过智能旅游模式参与当地节庆活动。本研究调查了游客中智能旅游的潜力以及此类技术随时间的发展情况,同时提出了一个旅游云管理系统。其目标是通过引入一款带有电子门票的移动应用程序,使实体/纸质门票不再必要,该电子门票可使用摄像头和二维码技术进行验证,并利用蓝牙和全球定位系统(GPS)增强交通网络,以实时识别游客的行踪。结果表明,大量参与者进行旅游出行,因此需要智能旅游和游客管理。研究得出结论,智能旅游对游客极具吸引力,如果实施智能解决方案,可提升目的地的吸引力。本研究对游客的偏好和智能旅游的潜力进行了第一手评估。