Book ChapterDOI
Tourists visit and photo sharing behavior analysis: a case study of Hong Kong temples
Rosanna Leung,Huy Quan Vu,Jia Rong,Yuan Miao +3 more
- pp 197-209
TLDR
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.read more
Citations
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Overseas Tourist Movement Patterns in Beijing: The Impact of the Olympic Games
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.
Journal ArticleDOI
Spatial structures of tourism destinations: A trajectory data mining approach leveraging mobile big data
TL;DR: A large scale mobile phone dataset that captures the cellphone trace of international travelers who visited South Korea is analyzed to understand the spatial structures of tourist activities within three different destinations and reveals multiple “hot spots” in travel destinations and spatial interactions across these places.
Journal ArticleDOI
Tourist Activity Analysis by Leveraging Mobile Social Media Data
TL;DR: This paper presents a new approach to travel diary construction based on the venue check-in data available in mobile social media with rich information on locations, time, and activities and demonstrates how the proposed travel diary can provide useful practical implications for applications in location management, transportation management, impact management, and tourist experience promotion.
Journal ArticleDOI
Distribution of tourists within urban heritage destinations: a hot spot/cold spot analysis of TripAdvisor data as support for destination management
TL;DR: To test the applicability of user-generated content for destination management, this paper analyses restaurant reviews from five Flemish art cities which were retrieved from the Web 2.0 platform TripAdvisor and revealed spatial clusters of frequently and rarely reviewed restaurants in four out of the five art cities.
References
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Proceedings ArticleDOI
Mapping the world's photos
TL;DR: This work uses the spatial distribution of where people take photos to define a relational structure between the photos that are taken at popular places, and finds that visual and temporal features improve the ability to estimate the location of a photo, compared to using just textual features.
Journal ArticleDOI
Modeling Tourist Movements: A Local Destination Analysis
Alan A. Lew,Bob McKercher +1 more
TL;DR: In this paper, the authors developed models depicting the spatial movement patterns of tourists within a destination using an inductive approach based on urban transportation modeling and tourist behavior, to identify explanatory factors that could influence movements.
Journal ArticleDOI
Asymmetric effects of online consumer reviews
Sangwon Park,Juan Luis Nicolau +1 more
TL;DR: In this article, the authors assess the effect of review ratings on usefulness and enjoyment and find that people perceive extreme ratings (positive or negative) as more useful and enjoyable than moderate ratings, giving rise to a U-shaped line with asymmetric effects.
Journal ArticleDOI
Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos
TL;DR: In this paper, the authors present a new approach to this task by exploiting the socially generated and user-contributed geotagged photos now made publicly available on the Internet, focusing on Hong Kong inbound tourism using 29,443 photos collected from 2100 tourists.
Proceedings ArticleDOI
Generating summaries and visualization for large collections of geo-referenced photographs
TL;DR: A framework for automatically selecting a summary set of photos from a large collection of geo-referenced photographs, based on spa-tial patterns in photo sets, as well as textual-topical patterns and user (photographer) identity cues, which can be expanded to support social, temporal, and other factors.