Leveraging tourist trajectory data for effective destination planning and management: A new heuristic approach

Zheng, W.; Li, M.; Lin, Z.; Zhang, Y.

Abstract

Understanding tourist movements provides insights for destination planning, service design and marketing. The key challenge is to develop a tool that can capture the value in the tourist mobility data. This study presents a new heuristic approach that combines adaptive spatial clustering with frequent pattern mining to improve the performance and efficiency of trajectory data analytics. The aim is to fully leverage the semantic information in the tourist data and the duration that tourists stay at an attraction. Anonymous mobile positioning data from 741 tourists to one of China’s leading destinations are used to illustrate the application of the new analytical approach. The results reveal a four-level destination spatial structure ranging from core to peripheral areas. The findings provide practical implications for facilitating intra-destination cooperation and optimizing destination resource allocation and service design.

Citation

Zheng, W., Li, M., Lin, Z., & Zhang, Y. (2022). Leveraging tourist trajectory data for effective destination planning and management: A new heuristic approach. Tourism Management, 89, Article 104437. https://doi.org/10.1016/j.tourman.2021.104437

• Journal Article Type: Article
• Acceptance Date: Sep 19, 2021
• Online Publication Date: Oct 4, 2021
• Publication Date: 2022-04
• Deposit Date: Sep 21, 2021
• Publicly Available Date: Oct 5, 2023
• Journal: Tourism Management
• Print ISSN: 0261-5177
• Electronic ISSN: 1879-3193
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 89
• Article Number: 104437
• DOI: https://doi.org/10.1016/j.tourman.2021.104437
• Public URL: https://durham-repository.worktribe.com/output/1239530