论文标题
识别外国访客旅行道路中的宏观特征
Identifying macroscopic features in foreign visitor travel pathways
论文作者
论文摘要
人类旅行模式通常被研究为将出发点和目的地编码为节点的网络，并且将两个点之间的行进频率记录为加权边缘。但是，由于旅行者经常访问构成途径的多个目的地，因此，在仅基于成对频率的方法上，预计包含途径统计数据的分析将更具信息性。因此，在这项研究中，我们应用了一个高阶网络表示框架来确定日本外国访客途径的特征旅行模式。我们预计此处的结果主要对旅游业的营销研究有用。
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.
