Analysing spatiotemporal patterns of tourism in Europe at high-resolution with conventional and big data sources
Filipe Batista e Silva,Mario Marin Herrera,Konstantin Rosina,Ricardo Ribeiro Barranco,Sergio Freire,Marcello Schiavina +5 more
TLDR
In this paper, the authors presented a novel, complete and consistent dataset describing tourist density at high spatial resolution with monthly breakdown for the whole of the European Union, which is achieved thanks to the integration of data from conventional statistical sources with big data from emerging sources, namely two major online booking services containing the precise location and capacity of tourism accommodation establishments.About:
This article is published in Tourism Management.The article was published on 2018-10-01 and is currently open access. It has received 128 citations till now. The article focuses on the topics: Tourism & European union.read more
Citations
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Journal ArticleDOI
The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use
Stefan Leyk,Andrea E. Gaughan,Andrea E. Gaughan,Susana B. Adamo,Alex de Sherbinin,Deborah Balk,Sergio Freire,Amy Rose,Forrest R. Stevens,Forrest R. Stevens,Brian Blankespoor,Charlie Frye,Joshua Comenetz,Alessandro Sorichetta,Kytt MacManus,Linda Pistolesi,Marc A. Levy,Andrew J. Tatem,Martino Pesaresi +18 more
TL;DR: A set of large-scale gridded datasets representing population counts or densities is presented, compares and discusses and focuses on data properties, methodological approaches and relative quality aspects that are important to fully understand the characteristics of the data with regard to the intended uses.
Journal ArticleDOI
Discovering the tourists' behaviors and perceptions in a tourism destination by analyzing photos' visual content with a computer deep learning model: The case of Beijing
Kun Zhang,Ye Chen,Chunlin Li +2 more
TL;DR: The field of how to apply AI technology into tourism destination research was explored and extended by this trial study, and 35,356 Flickr tourists' photos in Beijing were identified into 103 scenes by computer deep learning technology.
Journal ArticleDOI
Changes in air passenger demand as a result of the COVID-19 crisis: using Big Data to inform tourism policy
Inmaculada Gallego,Xavier Font +1 more
TL;DR: In this article, the authors developed a methodology for the early detection of reactivation of tourist markets to help mitigate the effects of the COVID-19 crisis, using Skyscanner data on air passenger searches (>5,000 million) and picks (>600 million), for flights between November 2018 and December 2020, through ForwardKeys.
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Covid-19 and tourism vulnerability
TL;DR: In this article, the authors identify several of the primary factors behind the vulnerability of tourism to COVID-19 (tourism dependency, market structure, the supply of rural accommodation, and health incidence of the pandemic).
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Motivation and satisfaction of Chinese and U.S. tourists in restaurants: A cross-cultural text mining of online reviews
TL;DR: The authors investigated the motivation and satisfaction of restaurant tourist customers coming from China and U.S. by investigating their online ratings and reviews and found that Chinese tourists are less inclined to assign lower ratings to restaurants, and are more strongly fascinated by the food offered.
References
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Proceedings ArticleDOI
Big data: Issues, challenges, tools and Good practices
TL;DR: The various challenges and issues in adapting and accepting Big data technology, its tools (Hadoop) are discussed in detail along with the problems Hadoop is facing.
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Geo-located Twitter as proxy for global mobility patterns
Bartosz Hawelka,Izabela Sitko,Euro Beinat,Stanislav Sobolevsky,Pavlos Kazakopoulos,Carlo Ratti +5 more
TL;DR: This article analyses geo-located Twitter messages in order to uncover global patterns of human mobility and reveals spatially cohesive regions that follow the regional division of the world.
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Using social media to quantify nature-based tourism and recreation
Spencer A. Wood,Anne D. Guerry,Anne D. Guerry,Jessica M. Silver,Jessica M. Silver,Martin Lacayo +5 more
TL;DR: Using the locations of photographs in flickr to estimate visitation rates at 836 recreational sites around the world, and using information from the profiles of the photographers to derive travelers' origins concludes that the crowd-sourced information can indeed serve as a reliable proxy for empirical visitation rates.
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Generating Surface Models of Population Using Dasymetric Mapping
TL;DR: Eicher et al. as mentioned in this paper proposed a methodology for generating a surface-based representation of population that mitigates the arbitrary nature of areal unit partitioning by incorporating areal weighting and empirical sampling techniques.