Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos

Vu, Huy Quan, Li, Gang, Law, Rob and Ye, Ben Haobin 2015, Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos, Tourism management, vol. 46, pp. 222-232, doi: 10.1016/j.tourman.2014.07.003.

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Title Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos
Author(s) Vu, Huy Quan
Li, GangORCID iD for Li, Gang orcid.org/0000-0003-1583-641X
Law, Rob
Ye, Ben Haobin
Journal name Tourism management
Volume number 46
Start page 222
End page 232
Total pages 11
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2015-02
ISSN 0261-5177
Keyword(s) Science & Technology
Social Sciences
Life Sciences & Biomedicine
Environmental Studies
Hospitality, Leisure, Sport & Tourism
Management
Environmental Sciences & Ecology
Social Sciences - Other Topics
Business & Economics
Data mining
Geotagged photo
Travel behavior
Global positioning system
VISITOR MOVEMENT PATTERNS
GEO-TAGGED PHOTOS
DESTINATION
RECOMMENDATION
SYSTEM
Summary Insight into tourist travel behaviors is crucial for managers engaged in strategic planning and decision making to create a sustainable tourism industry. However, they continue to face significant challenges in fully capturing and understanding the behavior of international tourists. The challenges are primarily due to the inefficient data collection approaches currently in use. In this paper, we present a new approach to this task by exploiting the socially generated and user-contributed geotagged photos now made publicly available on the Internet. Our case study focuses on Hong Kong inbound tourism using 29,443 photos collected from 2100 tourists. We demonstrate how a dataset constructed from such geotagged photos can help address such challenges as well as provide useful practical implications for destination development, transportation planning, and impact management. This study has the potential to benefit tourism researchers worldwide from better understanding travel behavior and developing sustainable tourism industries.
Language eng
DOI 10.1016/j.tourman.2014.07.003
Field of Research 080109 Pattern Recognition and Data Mining
150603 Tourism Management
1506 Tourism
1505 Marketing
1504 Commercial Services
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30076108

Document type: Journal Article
Collections: School of Information Technology
2018 ERA Submission
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