TITLE:
A Blockchain-Based Framework for Smart Tourism
AUTHORS:
Chun He, Caijian Hua
KEYWORDS:
Trust, Smart Tourism, Scenic Data Information, Regulation, Decentralization
JOURNAL NAME:
Journal of Computer and Communications,
Vol.11 No.7,
July
28,
2023
ABSTRACT: The rapid development and globalization of modern tourism have brought more and more tourists and tourist attractions, bringing opportunities to the tourism industry. However, challenges also come with it, including the cost of travelers’ trust, the satisfaction of personalized tourism needs, and the supervision and management of tourist attractions. In order to solve these problems and improve the tourism experience, this paper designs a blockchain-based smart tourism platform. First, by adopting blockchain technology, a decentralized database is established to reduce the cost of trust for travelers. Secondly, through the blockchain-based smart tourism platform, travelers can customize personalized travel routes and itineraries according to their preferences and needs. The platform uses the data interaction function of blockchain to visually display various resources and services of tourist attractions, and travelers can choose according to their own preferences to enhance the personalized experience of tourism. Third, the smart tourism platform based on the blockchain can provide the reliability and transparency of data information, and through the decentralized nature of blockchain, the relevant data of tourist attractions can be recorded and stored, and cannot be tampered with, ensuring the authenticity and credibility of the data. Regulatory authorities can easily access and review these data, and more effectively control and supervise scenic spots. Finally, this paper combines DPOS (Delegated Proof of Stake) and PBFT (Practical Byzantine Fault Tolerance) consensus algorithms to improve the on-chain consensus efficiency of blockchain-based smart tourism platforms. The consensus algorithm is the core mechanism to ensure the normal operation and consistency of the blockchain system, and improve the throughput and performance of the system by introducing DPOS and PBFT algorithms.