Published Paper Details:

Our holiday amusement parks have not yet evolved to the level of Disneyland resorts, and this framework focuses on addressing this gap. This solution was developed based on the real-life needs of a specific adventure park and the combination of existing technologies using an interdisciplinary approach. It provides real-time mapping merged with dynamic weather monitoring, self-updating smart queue systems, and tailored itinerary generation. Furthermore, it allows integrating gateways for weather APIs and payment processing systems along with other necessary services such as Virtual Queues, smart payment processing, and comprehensive weather API integration. The React and Spring frameworks are utilized for the frontend and backend, respectively, allowing for seamless optimization of operations in a unified system. Anticipatory computing combined with edge computing enables meeting the set tasks improving performance metrics like 28% enhanced visitor satisfaction, 35% more actively participated activities, and 40% lesser waiting time. The paper showcases the methods, system design blueprint, system framework, and empirical data from the initial testing. The study adds to the already existing scholarship on digital transformation in experiential tourism with practical implications for park operators contemplating the adoption of new technologies.