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
Reads0
Chats0
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
More filters
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
More filters
Journal ArticleDOI
Understanding Tourist Movement Patterns in a Destination: A GIS Approach:
Gigi Lau,Bob McKercher +1 more
TL;DR: In this article, the authors present preliminary findings of research examining the movement patterns of tourists within a destination, focusing on fully independent individual travellers visiting Hong-Kon, Hong Kong.
Journal ArticleDOI
Social Media in Destination Choice: Distinctive Electronic Word-of-Mouth Dimensions
Aaron Tham,Glen Croy,Judith Mair +2 more
TL;DR: In this paper, the influence of electronic word-of-mouth on destination image and choice is investigated. But, the authors suggest that electronic word of mouth is to be treated as a unique entity and the distinctive characteristics of electronic WOW are little known source-receiver relationships, channel variety and presentation of contents.
Journal ArticleDOI
Mining Travel Patterns from Geotagged Photos
TL;DR: This study aims to leverage the wealth of these enriched online photos to analyze people’s travel patterns at the local level of a tour destination by building a statistically reliable database of travel paths from a noisy pool of community-contributed geotagged photos on the Internet.
Proceedings ArticleDOI
P-DBSCAN: a density based clustering algorithm for exploration and analysis of attractive areas using collections of geo-tagged photos
TL;DR: P-DBSCAN is presented, a new density-based clustering algorithm based on DBSCAN for analysis of places and events using a collection of geo-tagged photos, and two new concepts are introduced: density threshold, defined according to the number of people in the neighborhood, and adaptive density, which is used for fast convergence towards high density regions.
Journal ArticleDOI
Travel photos: Motivations, image dimensions, and affective qualities of places
Steve Pan,Jin Soo Lee,Henry Tsai +2 more
TL;DR: This article explored the relationship among motivations, image dimensions, and affective qualities of places and found that image dimension of natural resources such as "wealth of countryside", "flora and fauna", and "beaches" are frequently associated with "arousing" and "pleasant" feelings toward a destination.