Wisdom Tourism Management Mode in the Background of Big Data of the Internet of Things

Abstract

Since the rapid development of the global economy, tourism has become an indispensable entertainment and relaxation item in people’s lives. However, the traditional tourism management mode is slow in conveying tourism information, and there is no reasonable planning of tourism projects for tourists, and it is even more difficult to accurately locate the travel preferences of travelers and make specific travel plans, so that travel resources cannot be fully utilized. Therefore, the Internet of Things big data technology and travel management are combined. For this reason, a wisdom tourism management model based on the big data background of Internet of Things (IoT) is developed. In order to timely arrange and adjust work and travel plans, wisdom tourism makes use of cloud computing, IoT, and other new technologies, with the help of portable mobile terminal devices, so that the tourists can receive timely information about tourism resources, tourism activities, and tourism surroundings to achieve intelligent perception of tourism information, timely arrangement effect. Wisdom tourism can make use of undeveloped tourism resources as much as possible and drive the development of surrounding industries, and promote the economic development of tourist areas. This paper mainly compares the smart tourism management mode with the traditional tourism management mode. The experiment shows that the development degree of the wisdom tourism management mode accounts for 82.8% of the total tourism resources. The traditional tourism management model is only 70.1%, and the GDP of the economy around the tourist area in the wisdom tourism management model in one year is 1.4 times higher than that of the traditional tourism management model. In terms of tourism experience, the wisdom tourism management model is also much better than the traditional tourism management model. And the lower the average age of the experimenter, the higher the favorability of wisdom tourism, up to 98%. It highlights the advantages of the wisdom tourism management model in personalized tourism, tourism development, and surrounding economic growth.

Exploring the Landscape of Smart Tourism: A Systematic Bibliometric Review of the Literature of the Internet of Things

“…The Internet of Things (IoT) empowers any object to connect to the Internet from any location and at any time, resulting in a complex structure involving various technical infrastructures, ranging from sensors to terminal servers and computers. Huang et al (2022) elaborate on the division of IoT infrastructure into four layers: application, service, transport, and perception layers, as illustrated in Figure 8. The perception layer, situated at the system's bottom structure, comprises sensors and identification equipment used to detect external information.…”

“…The perception layer, situated at the system's bottom structure, comprises sensors and identification equipment used to detect external information. The transport layer involves multiple gateways transmitting data through the IP/TCP protocol (Huang et al 2022;Liu and Guan 2022). It transmits and uploads data to the service layer, which subsequently processes, analyzes, and stores the information (Zeng 2022).…”

“…These invaluable insights empower businesses to adopt tourist-centric strategies, prioritizing customer needs and expectations. Additionally, destination managers and service providers leverage big data in smart tourism to extract actionable insights, identify patterns, and make well-informed decisions (Huang et al 2022;Sun et al 2016).…”