The Transformation of Intelligent Tourism Planning through the "Zibo Barbecue" Craze
DOI: https://doi.org/10.62517/jbdc.202401107
Author(s)
Guo Yu, Jing Qin*, Ziqian Cheng, Zihao Li, Saiyu Quan
Affiliation(s)
School of Accountancy, Shandong Youth University of Political Science, Jinan, Shandong, China
*Corresponding Author.
Abstract
This article discusses the application and development of intelligent tourism planning in the barbecue frenzy in Zibo. Intelligent tourism planning offers advantages such as personalized customization, real-time accuracy, recommendation suggestions, and provides tourists with a more convenient and efficient travel experience. In the context of the barbecue frenzy in Zibo, intelligent guided services, recommendation systems, and booking services have become essential components, offering tourists a more intelligent and personalized tourism experience. In this background, intelligent tourism planning continues to evolve, utilizing precise recommendations, interactive experiences, and intelligent marketing promotion to further enhance the travel experience and meet the needs of tourists. In conclusion, intelligent tourism planning demonstrates immense potential and development opportunities within the barbecue frenzy in Zibo, injecting new vitality and possibilities into the tourism industry. With the continuous progress and application of intelligent technologies, it is believed that intelligent tourism planning will become an important trend in the travel industry, providing tourists with a richer and more convenient travel experience.
Keywords
Zibo Barbecue Frenzy; Intelligent; Tourism Planning; Tourist Experiences; Sustainable Tourism; Destination Development
References
[1] Jiao, W., Li, Q., & Yang, J. (2022). Implicit Knowledge of Tourism Planning and Its Transmission Strategies. Journal of Leshan Normal University, 37 (06), 65-70+124.
[2] Yu, Q., Hu, B., & E, X. (2020). Application of Intelligent Route Planning Algorithm in Tourism Products. China Press, (19), 22-23.
[3] Wang, J. (2020). Application of Artificial Intelligence Technology in Smart Tourism. SME Management and Technology (First Issue), (09), 173-174+177.
[4] Jiang, Z., & Lai, H. (2019). Research on AI Deep Learning-based Tourism Route Planning. E-commerce, (08), 12-14.
[5] Zhong, L., Zhang, T., Zhang, J., & Li, S. (2019). Multi-agent-based Model of Tourism Cloud Service Composition. Practice and Understanding of Mathematics, 49 (11), 59-67.
[6] Huang, Y., Pan, J., Chen, D., & Li, W. (2019). Exploration and Research on Intelligent Itinerary Planning System for Independent Travel from the Perspective of Smart Tourism. Journal of Taiyuan Urban Vocational College, (02), 35-37.
[7] Guo, Y., Li, Z., Zheng, S., & Dong, K. (2017). Research on the Model Mechanism of the Influence Path of Technical Acceptance on Satisfaction of Intelligent Tourism Itinerary Planning Software under the Background of Smart Tourism. Journal of Taishan University, 39 (06), 1-11.
[8] Ye Tiewei. Smarter tourism: Tourism industry second revolution (part 1). China Tourism News, 2011: 05: 25 (11).
[9] Wu Xuean. “Smarter tourism” makes travel into “touch time”. People’s Daily Overseas Edition, 2011: 06: 09 (08).