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Title: Design of intelligent management system for tourist attractions based on IoT information technology

Authors: Xiaohu Shen

Addresses: Business School, Nantong Institute of Technology, Nantong, 226002, Jiangsu, China

Abstract: With the rapid growth of tourism, traditional scenic area management struggles to meet increasing demands. This paper proposes an intelligent management system for tourist attractions based on Internet of Things (IoT) technology to optimise crowd control, enhance service quality, and improve visitor satisfaction. By integrating IoT with cloud and edge computing, the system enables real-time monitoring, efficient flow allocation, and personalised services. Experimental results show tourist satisfaction rose from 58% to 83% after implementation. The system also improves attraction capacity and operational efficiency, demonstrating the potential of IoT in smart tourism. The study highlights the synergy between information devices and mobile applications, offering a reference for future intelligent scenic area development.

Keywords: tourism industry; intelligent management system; IoT; Internet of Things; scenic area management; service quality; tourist satisfaction; cloud computing; edge computing; mobile application.

DOI: 10.1504/IJDS.2025.151188

International Journal of Data Science, 2025 Vol.10 No.7, pp.242 - 255

Received: 15 May 2025
Accepted: 23 Jul 2025
Published online: 16 Jan 2026 *