Revisiting Tourism Destination Image: A Holistic Measurement Framework Using Big Data

Bui, V, Alaei, AR, Vu, Huy Quan, Li, Gang and Law, R 2021, Revisiting Tourism Destination Image: A Holistic Measurement Framework Using Big Data, Journal of Travel Research, pp. 1-21, doi: 10.1177/00472875211024749.

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Title Revisiting Tourism Destination Image: A Holistic Measurement Framework Using Big Data
Author(s) Bui, V
Alaei, AR
Vu, Huy Quan
Li, GangORCID iD for Li, Gang
Law, R
Journal name Journal of Travel Research
Start page 1
End page 21
Total pages 21
Publisher Sage Publications
Place of publication London, Eng.
Publication date 2021-07-05
ISSN 0047-2875
Keyword(s) BEHAVIORS
big data
destination image
destination management
Hospitality, Leisure, Sport & Tourism
multimodal TDI model
Social Sciences
Social Sciences - Other Topics
user-generated content
Summary Understanding and being able to measure, analyze, compare, and contrast the image of a tourism destination, also known as tourism destination image (TDI), is critical in tourism management and destination marketing. Although various methodologies have been developed, a consistent, reliable, and scalable method for measuring TDI is still unavailable. This study aims to address the challenge by proposing a framework for a holistic measure of TDI in four dimensions, including popularity, sentiment, time, and location. A structural model for TDI measurement that covers various aspects of a tourism destination is developed. TDI is then measured by a comprehensive computational framework that can analyze complex textual and visual data on a large scale. A case study using more than 30,000 images, and 10,000 comments in relation to three tourism destinations in Australia demonstrates the effectiveness of the proposed framework.
Notes In Press
Language eng
DOI 10.1177/00472875211024749
Indigenous content off
Field of Research 1504 Commercial Services
1505 Marketing
1506 Tourism
HERDC Research category C1 Refereed article in a scholarly journal
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