Tourists visit and photo sharing behavior analysis: a case study of Hong Kong temples
01 Jan 2016-pp 197-209
TL;DR: A study of extracting geotagged photos uploaded by tourists to one of the popular social media sites, Flickr, for tourists’ visit and sharing behavior analysis of Hong Kong temples, which indicates four popular temples that attracted most tourists taking photos.
Abstract: Travel statistics report published by the tourism board was one of the important sources that attraction managers used to plan for marketing strategies. However, only a limited number of famous attractions were involved in such reports, therefore rare information was gathered for 2nd or 3rd tier attractions, such as temples. These small attractions were kept away from many tourists’ knowledge or travel plan so that it is also a difficulty to explore their visit behaviors. Fortunately, social media sites have been rapidly developed and widely used in our lives, to fill this blank with a large number of active users, who shared their travel experiences by writing textual comments and uploading travel photos. This provides scholars and managers with opportunities to understand tourists’ behaviors and the potential attractions they are interested in, by analyzing the photos they uploaded and shared online. In this paper, we report a study of extracting geotagged photos uploaded by tourists to one of the popular social media sites, Flickr, for tourists’ visit and sharing behavior analysis of Hong Kong temples. The results indicate four popular temples that attracted most tourists taking photos. The behavior analysis shows the difference preferences of tourists from various locations and the trend changes of their visits in the past 5 years.
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01 Jan 2016
TL;DR: Wang et al. as mentioned in this paper used content analysis and social network analysis methods to examine 500 online trip diaries and analyze overseas tourist movement patterns in Beijing during the Olympics, finding that tourists were most interested in famous traditional attractions, and their movements were focused in the central city area of Beijing.
Abstract: The 2008 Beijing Olympic Games had a great impact on the tourism industry in Beijing, especially on tourism flows and movements. This study used content analysis and social network analysis methods to examine 500 online trip diaries and analyze overseas tourist movement patterns in Beijing during the Olympics. The result revealed that overseas tourists were most interested in famous traditional attractions, and their movements were focused in the central city area of Beijing. The study identified the diversity of tourist attractions and the expansion of main visiting areas as the two main changes during the Olympics. Copyright © 2011 John Wiley & Sons, Ltd.
81 citations
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Abstract: Approaches to traditional travel diary construction rely on tourist participation and manual recording; hence, they are not only time-consuming but also limited in the scale and the number of sampl...
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Abstract: The emergence of social media and Web 2.0 has a notable impact upon the tasks of destination managers as these platforms have developed into influential mechanisms affecting tourist behaviour. This...
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Cites background from "Tourists visit and photo sharing be..."
...Focal point: hot spots and cold spots Geographic clustering of digital footprints left behind by tourists on UGC is finding its way into tourism studies (Leung et al., 2016)....
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...Geographic clustering of digital footprints left behind by tourists on UGC is finding its way into tourism studies (Leung et al., 2016)....
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References
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TL;DR: Wang et al. as mentioned in this paper used content analysis and social network analysis methods to examine 500 online trip diaries and analyze overseas tourist movement patterns in Beijing during the Olympics, finding that tourists were most interested in famous traditional attractions, and their movements were focused in the central city area of Beijing.
Abstract: The 2008 Beijing Olympic Games had a great impact on the tourism industry in Beijing, especially on tourism flows and movements This study used content analysis and social network analysis methods to examine 500 online trip diaries and analyze overseas tourist movement patterns in Beijing during the Olympics The result revealed that overseas tourists were most interested in famous traditional attractions, and their movements were focused in the central city area of Beijing The study identified the diversity of tourist attractions and the expansion of main visiting areas as the two main changes during the Olympics Copyright © 2011 John Wiley & Sons, Ltd
124 citations
01 Jan 2016
TL;DR: Wang et al. as mentioned in this paper used content analysis and social network analysis methods to examine 500 online trip diaries and analyze overseas tourist movement patterns in Beijing during the Olympics, finding that tourists were most interested in famous traditional attractions, and their movements were focused in the central city area of Beijing.
Abstract: The 2008 Beijing Olympic Games had a great impact on the tourism industry in Beijing, especially on tourism flows and movements. This study used content analysis and social network analysis methods to examine 500 online trip diaries and analyze overseas tourist movement patterns in Beijing during the Olympics. The result revealed that overseas tourists were most interested in famous traditional attractions, and their movements were focused in the central city area of Beijing. The study identified the diversity of tourist attractions and the expansion of main visiting areas as the two main changes during the Olympics. Copyright © 2011 John Wiley & Sons, Ltd.
81 citations
TL;DR: The use of Global Positioning System (GPS) technology enables the study of tourists' activities and movement patterns in real time But what does this information tell us about tourists' subjective as discussed by the authors.
Abstract: The use of Global Positioning System (GPS) technology enables the study of tourists’ activities and movement patterns in real time But what does this information tell us about tourists’ subjective
69 citations
TL;DR: This paper explored how members of Flickr, the world's most popular photo community, share and respond to travel photographs of Arab countries and observed that the images conveyed in the online photos that generated most audience response differ from those in official travel and tourism documentation.
Abstract: This research note explores how members of Flickr, the world's most popular photo community, share and respond to travel photographs of Arab countries. As photo-sharing becomes commonplace, researchers could use audience responses to photos to examine destination image. This note also extends the offline Visitor Employed Photography technique online, by including shared photographs and audience response. We observe that the images conveyed in the online photos that generated most audience response differ from those in official travel and tourism documentation. This result benefits both destination image research and practice in the analysis of audience response to online travel photos.
16 citations
TL;DR: Wang et al. as discussed by the authors compare usergenerated photo postings and the travel agency photo postings collected from Sina microblog, one of the most popular Chinese social media platforms, revealing differences in posted images between Chinese domestic tourist destination users and travel agencies.
Abstract: The development of social media has produced many user-generated photographs, and it has also provided a new platform for tourism agencies to use photographs to promote their tourism products. This study aims to compare usergenerated photo postings and the travel agency photo postings collected from Sina microblog, one of the most popular Chinese social media platforms. Study results reveal differences in posted images between Chinese domestic tourist destination users and travel agencies. This study provides practical information for travel agencies to develop their promotion strategies for use on social media.
7 citations