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

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

Authors

W. Zheng

M. Li

Y. Zhang



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 Mar 29, 2024
Journal Tourism Management
Print ISSN 0261-5177
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

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