A Sequential Pattern Mining Approach to Tourist Movement: The Case of a Mega Event. (July 2023)

• Record Type: Journal Article
• Authors: Cheng, Mingming; Jin, Xin; Wang, Ying; Wang, Xiaowei; Chen, Jinyan
• Is Part Of: Journal of travel research. Volume 62:Number 6(2023)
• Page Start: 1237
• Page End: 1256
• Publication Date: 2023-07
• Subjects: gold coast -- sequential pattern mining -- Twitter -- tourist movement -- mega event; Travel -- Research -- Periodicals; Tourism -- Periodicals; Tourism -- Research -- Periodicals; 910.72
• DOI: 10.1177/00472875221126433
• Languages: English
• ISSNs: 0047-2875

Abstract

The movement of tourists has important economic and social implications for destination management. However, tracking and analyzing such movement can be a challenge both conceptually and methodologically. Using four different sequential pattern mining algorithms, this study investigates the movement of international visitors during the Gold Coast Commonwealth Games (GC2018) at the level of a specific destination through Twitter data. Results indicate that sequential pattern mining is a powerful technique to reveal complex travel patterns and provides insights into the potential associated destinations of visitors beyond the current point-to-point analysis. This approach can assist destination management and event organizers in identifying the event's contribution to tourists' local visitation.