Cluster analysis of China's inbound tourism market: A new multi-attribute approach based on association rule mining of tourist preferences at scenic spots

被引：9

作者：

Li, Chunxiao ^{[1
]}

Gao, Lanfei ^{[1
]}

Liu, Yanzheng ^{[2
]}

Li, Hui ^{[1
]}

机构：

[1] Nankai Univ, Coll Tourism & Serv Management, Tianjin 300350, Peoples R China

[2] Renmin Univ China, Sch Business, Beijing, Peoples R China

来源：

ASIA PACIFIC JOURNAL OF TOURISM RESEARCH | 2021年 / 26卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Inbound tourism; conjoint preference; multi-attributes; tourism online reviews; association rule mining;

D O I：

10.1080/10941665.2021.1887305

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This study adopts association rules to identify the co-occurrence of attributes concerned by inbound tourists visiting scenic spots and further make a cluster analysis. In total, 72,890 online reviews of 218 scenic spots in China from inbound travelers from TripAdvisor used for analysis. It is found that the tourists could be clustered into three groups: view-sensitive travelers, crowding-sensitive travelers, and price-sensitive travelers. This study makes an early attempt to cluster travelers according to their conjoint preference patterns based on the co-occurrence of destination attributes, and provides a new multi-attribute approach to the investigation of tourist preferences and market segmentation.

引用

页码：654 / 667

页数：14