Understanding tourists' travel behavior before, during, and after the trip with data from social media platforms

被引:3
|
作者
Mou, Naixia [1 ]
Wang, Yanci [1 ]
Zheng, Yunhao [2 ]
Zhang, Lingxian [1 ]
Makkonen, Teemu [3 ]
Jiang, Qi [1 ]
Yang, Tengfei [4 ]
机构
[1] Shandong Univ Sci & Technol, Coll Geodesy & Geomatics, Qingdao 266590, Peoples R China
[2] Peking Univ, Inst Remote Sensing & Geog Informat Syst, Sch Earth & Space Sci, Beijing 100871, Peoples R China
[3] Univ Eastern Finland, Karelian Inst, Joensuu 80101, Finland
[4] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China
基金
中国国家自然科学基金;
关键词
INFORMATION SEARCH; DESTINATION IMAGE; LEARNING-MODEL; HONG-KONG; BIG DATA; PATTERNS; ONLINE; REPRESENTATION; SATISFACTION; TRACKING;
D O I
10.1111/tgis.13051
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Analyzing tourists' travel behavior at different stages of a trip can help to better understand their travel demands, providing valuable suggestions for destination management. In this article, we propose a research framework that can help in comprehensively analyzing tourists' travel behavior from the perspective of the three main stages: before, during, and after the trip. A case study was conducted based on user-generated content data from the Old Town of Lijiang to verify the feasibility of the proposed research framework. The results show that: (1) before the trip, tourists inquire about destinations and optimal stay; (2) during the trip, tourists are attracted to natural sceneries; (3) after the trip, tourists discuss experience and services. Travel behavior in stages provide detailed (inter-, intra-, and individual attractions) guidance (from tourists) for destinations. The proposed framework provides a novel perspective for exploring the spatiotemporal behavioral features of tourists at different stages of their trips.
引用
收藏
页码:1043 / 1067
页数:25
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