Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos

Vu, Huy Quan; Li, Gang; Law, Rob; Ye, Ben Haobin

doi:10.1016/j.tourman.2014.07.003

Cited by 301 publications

(208 citation statements)

References 21 publications

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“…Thus, the exact local time of activities can be determined. This condition is not the case for previous studies using social media data such as geotagged photos (Vu et al 2015;Leung et al 2016), because the times that the photos were taken are based on the clock of photo-capturing devices. Tourists might not adjust to the local time when they travel to a destination in a different time zone.…”

Section: Discussionmentioning

confidence: 95%

“…However, the proposed travel diaries are large scale and contain more contextual information about tourist activities than pure GPS information in previous studies (Versichele et al 2014;Vu et al 2015;Chua et al 2016, Vu et al 2017. Inferring tourist activities based on venue check-ins is more convenient than depending on other contents, such as photos, and textual comments.…”

Section: Discussionmentioning

confidence: 99%

“…The tourists were categorized based on their cultural backgrounds (Vu et al 2015), such as Asian and Western tourists, to explore the differences in the tourist behavior of these groups. Detailed statistical results of the obtained data are shown in Table 2.…”

Section: Data Collectionmentioning

confidence: 99%

“…The tourist's 20 check-ins provided us with a comprehensive understanding of the tourist's activities and behaviors in Hong Kong, such as the visited places, dining places, activities, and transportation uses. Prior works using GPS technology provided the spatial (latitude/longitude) and temporal information (date and time) (Castro-Nuno et al 2013;Onder et al 2014;Vu et al 2015) but not the detailed information on the visited venues, venue types, and activities. The venue information and the GPS coordinates are available; thus, check-in information can be integrated into a geographical information system for visual analysis.…”

Section: Analysis Of a Travel Diarymentioning

confidence: 99%

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Tourist Activity Analysis by Leveraging Mobile Social Media Data

Law

et al. 2017

Journal of Travel Research

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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 samples. Online social network platforms have been used as alternative data sources for capturing the movements and travel patterns of tourists at a large scale. However, they fail to provide detailed contextual information on tourist activities for further analysis. In this paper, we present 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. Our case study focuses on the inbound tourism in Hong Kong using a data set comprising of 17,355 check-ins generated by 600 tourists. We demonstrate how the proposed travel diary can provide useful practical implications for applications in location management, transportation management, impact management, and tourist experience promotion among others.

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Section: Discussionmentioning

confidence: 95%

Section: Discussionmentioning

confidence: 99%

Section: Data Collectionmentioning

confidence: 99%

Section: Analysis Of a Travel Diarymentioning

confidence: 99%

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Tourist Activity Analysis by Leveraging Mobile Social Media Data

Law

et al. 2017

Journal of Travel Research

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“…As an example, Kisilevich et al (2010) exploit Google Earth to produce interactive visualizations of tourist sites based on geotagged photos from Panoramio and Flickr. Similarly, Vu et al (2015) make use of Google Earth to visualize Flickr photos for exploring tourists' travel behaviour. Both examples lack time filtering of data.…”

Section: Virtual Globes For the Exploration Of Crowdsourced Geo-datamentioning

confidence: 99%

New Generation Platforms for Exploration of Crowdsourced Geo-Data

Brovelli

Minghini

Zamboni

2018

Earth Observation Open Science and Innovation

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This chapter addresses two recent topics in the field of geo-information, the former more technological and the latter more scientific. On one side, there is an emerging trend of visualizing data and their changes in space and time through multidimensional geospatial clients and/or virtual globes. In the most advanced cases, these are not simply plain viewers but also allow analysis of the data by acting as "multidimensional intelligent geo-viewers". On the other side, citizen science is providing a great momentum to the possibility of lay people taking part in scientific development. It is a new, citizen-centred paradigm which, in most cases, takes advantage of the individual and collective augmented capability of sensing the surrounding world through the sensors that we wear. The "citizen sensors" will consciously contribute to this development, either through volunteered geographic information or by being themselves an unconscious part of the data analytics, which makes use of geo-crowdsourced data to extract information in order to create a higher level understanding of natural and manmade phenomena. This chapter seeks to outline the Web technological solutions for visualizing and analyzing such data, through a summary of the current state of the art and the original applications developed by the authors.

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Tourist versus resident movement patterns in open scenic areas: Case study of Confucius Temple Scenic area, Nanjing, China

Chen

2021

Journal of Tourism Research

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This article aims at exploring various pedestrian movement patterns and their interactions in open scenic areas. Spatial influence from road networks is also considered by using Space syntax. The results caught three types of movement patterns and two significant interactions. Spatial influence has a strong connection to pedestrians, but differs due to pedestrian type. Prediction models based on random forest were built and showed better performance for resident pedestrians. The results can enhance the walking comforts of tourists and residents in open scenic areas, and give practical suggestions for scenic management, attraction planning and internal road improvement.

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Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos

Cited by 301 publications

References 21 publications

Tourist Activity Analysis by Leveraging Mobile Social Media Data

Tourist Activity Analysis by Leveraging Mobile Social Media Data

New Generation Platforms for Exploration of Crowdsourced Geo-Data

Tourist versus resident movement patterns in open scenic areas: Case study of Confucius Temple Scenic area, Nanjing, China

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