A Sequential Pattern Mining Approach to Tourist Movement: The Case of a Mega Event
使用四种序列模式挖掘算法，通过推特数据分析黄金海岸英联邦运动会期间国际游客的移动轨迹，揭示复杂旅行模式，帮助目的地管理者和活动组织者了解活动对游客本地游览的贡献。
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.