Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/36300
Title: | Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos | Authors: | Vu, HQ Li, G Law, R Ye, BHB |
Issue Date: | Feb-2015 | Source: | Tourism management, Feb. 2015, v. 46, p. 222-232 | Abstract: | 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. | Keywords: | Data mining Geotagged photo Travel behavior Global positioning system |
Publisher: | Pergamon Press | Journal: | Tourism management | ISSN: | 0261-5177 | EISSN: | 1879-3193 | DOI: | 10.1016/j.tourman.2014.07.003 | Rights: | © 2014 Elsevier Ltd. All rights reserved © 2014. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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a0635-n02_paper_Vu_et_al_.pdf | Pre-Published version | 2.1 MB | Adobe PDF | View/Open |
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