通过分析游客数字足迹的质与量，揭示兴趣网络下的行为动态。
Tourists Profiling by Interest Analysis
- 融合质性与量化分析数字足迹
- 揭示景点间关联的行为规律
- 适合旅游规划与个性化推荐研究者
随着数字革命的发展，旅游行为分析及其相关研究领域发生了深刻变化。如今，利用游客旅行过程中留下的数字痕迹，可更便捷地分析其行为特征。现有研究多聚焦于数字痕迹的量化分析以得出结论。本文提出一种结合质性与量化分析的方法，旨在深入理解游客行为背后的动态机制，特别是与景点网络相关的行为模式。
原文摘要 · Abstract (English)
With the recent digital revolution, analyzing of tourists' behaviors and research fields associated with it have changed profoundly. It is now easier to examine behaviors of tourists using digital traces they leave during their travels. The studies conducted on diverse aspects of tourism focus on quantitative aspects of digital traces to reach its conclusions. In this paper, we suggest a study focused on both qualitative and quantitative aspect of digital traces to understand the dynamics governing tourist behavior, especially those concerning attractions networks.
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