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

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 freque...

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Bibliographic Details
Published inTourism management (1982) Vol. 89; p. 104437
Main Authors Zheng, Weimin, Li, Mengling, Lin, Zhibin, Zhang, Yangyu
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.04.2022
Subjects
Core-peripheral
Data mining
Frequent pattern mining
Intra-destination cooperation
Time-space
Tourist mobility
Frequent pattern mining
Intra-destination cooperation
Tourist mobility
Data mining
Time-space
Core-peripheral
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Summary: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.
ISSN:0261-5177
1879-3193
DOI:10.1016/j.tourman.2021.104437