Human travel patterns are commonly studied as networks in which the points of departure and destination are encoded as nodes and the travel frequency between two points is recorded as a weighted edge. However, because travelers often visit multiple destinations, which constitute pathways, an analysis incorporating pathway statistics is expected to be more informative over an approach based solely on pairwise frequencies. Hence, in this study, we apply a higher-order network representation framework to identify characteristic travel patterns from foreign visitor pathways in Japan. We expect that the results herein are mainly useful for marketing research in the tourism industry.

人们通常将人类出行方式研究为网络，其中将出发点和目的地点编码为节点，并将两点之间的旅行频率记录为加权边。但是，由于旅行者经常访问构成路径的多个目的地，因此与仅基于成对频率的方法相比，合并路径统计信息的分析有望提供更多信息。因此，在这项研究中，我们应用了一个高阶网络表示框架，以从日本的外国访客路径中识别出特征性旅行模式。我们希望本文的结果主要可用于旅游业的市场营销研究。