Google Trends and tourists' arrivals: Emerging biases and proposed corrections

Dergiades, Theologos; Mavragani, Eleni; Pan, Bing

doi:10.1016/j.tourman.2017.10.014

Cited by 113 publications

(90 citation statements)

References 36 publications

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“…Our study found that Google Trends is a useful tool for forecasting future visitation at U.S. National Parks. As with previous studies, which demonstrate that search engine volume is a useful indicator of future tourism arrivals (Bangwayo-Skeete & Skeete, 2015; Dergiades, Mavragani, & Pan, 2018;Yang, Pan, Evans, & Lv, 2015), we show that Google Trends can perform well in the context of U.S. National Parks. This is true despite the factors that make park visitation different from general tourism arrivals, such as limited cellular or internet service, or differences in planning behaviors.…”

Section: Discussionsupporting

confidence: 88%

“…Given that such a high percentage of people use general search engines to plan travel, researchers have started exploring the feasibility of using search engine data to forecast tourism arrivals (e.g. Bangwayo-Skeete & Skeete, 2015; Dergiades, Mavragani, & Pan, 2018;Yang, Pan, Evans, & Lv, 2015). However, no previous study has explored using Google Trends to predict visitation to parks or protected areas.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, Dergiades et al (2018) noted that using search engine data to forecast tourism is often filled with language and platform bias, particularly for destinations that have many international visitors. Not all visitors use the same search engines or search for things in the same languages.…”

Section: Literature Reviewmentioning

confidence: 99%

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Methodological Advances for Understanding Social Connectivity and Environmental Implications in Multi-Use Landscapes

Clark¹

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edits, to hours of always-productive conversation, and even letting me indefinitely "borrow" your climbing gear, sincerely thank you. I would also like to thank the rest of the Human-Environment Systems Faculty at Boise State, as well as my committee members for their unwavering support and enthusiasm. Lastly, I would like to thank my lab mates putting up with me over the last two years and pretending they enjoyed learning 'R' every Friday morning.

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Section: Discussionsupporting

confidence: 88%

Section: Literature Reviewmentioning

confidence: 99%

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Methodological Advances for Understanding Social Connectivity and Environmental Implications in Multi-Use Landscapes

Clark¹

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“…Website addresses were retrieved from the Google search engine (based on what is referred to as organic search) and from the rural tourism directory available at agroturystyka.pl, the website of the Polish Federation of Rural Tourism "Hospitable Farms." The Google search engine was selected because of its great popularity worldwide (Dergiades et al, 2018).…”

Section: Methodsmentioning

confidence: 99%

Potential of image optimization on websites of rural tourism facilities in Poland

Król

Zdonek

2020

J. Agribus. Rural Dev.

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The success of a rural tourism business largely depends on promotional activities. Having developed a tourist product, owners of rural tourism facilities should therefore inform the buyers about it. Usually, they rely on websites and social media for this purpose. However, for a website to fulfill its function, it should be of high quality. The improvement of website quality can be achieved through measures which include search engine optimization (SEO) and content and graphics optimization. The purpose of this paper is to assess the potential of image optimization on websites of Polish rural tourism facilities. The research covered 1000 paid domain websites. The largest part of the sites surveyed were rated good in terms of graphic file optimization. In spite of this, it was possible to reduce the size of graphic files covered by this study and used in the research model by as much as 67% without significantly deteriorating their quality. This research showed that image optimization has no direct impact on the outcome of an SEO audit, and that images can be optimized even for websites with high final scores.

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“…Interested readers can look up the following research in which the online search volume is used to model and/or predict other economic variables. These include tourism demand forecasting (Havranek and Zeynalov 2018;Dergiades et al 2018;Önder 2017); economic state and recession forecasting (Bortoli and Combes 2015;Tkacz 2013); cinema tickets sales (Goel et al 2010); total consumer demand (Vosen and Schmidt 2011; Woo and Owen 2019); gasoline prices (Molnár and Bašta 2017); Bitcoin trading activity (Aalborg et al 2019); foreign exchange markets (Goddard et al 2015); etc. Other applications over the years (more than 650 papers in total) can be found summarized in Jun et al (2018).…”

Section: Related Researchmentioning

confidence: 99%

Time Varying Spillovers between the Online Search Volume and Stock Returns: Case of CESEE Markets

Škrinjarić¹

2019

IJFS

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This research observes a time varying relationship between stock returns, volatilities and the online search volume in regard to selected CESEE (Central, Eastern and South-Eastern European) stock markets. The main hypothesis of the research assumes that a feedback relationship exists between stock returns, volatilities and the investor’s attention variable (captured by the online search volume). Moreover, the relationship is assumed to be time varying due to changing market conditions. Previous research does not deal with the time-varying multi-directional relationship. Thus, the contribution to existing research consists of estimating the aforementioned relationship between return, volatility and the search volume series for selected CESEE countries by using a novel approach of spillover indices within the VAR (Vector AutoRegression) model framework. The results indicate that the Google search volume affects the risk series more than the return series on the selected markets.

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Google Trends and tourists' arrivals: Emerging biases and proposed corrections

Cited by 113 publications

References 36 publications

Methodological Advances for Understanding Social Connectivity and Environmental Implications in Multi-Use Landscapes

Methodological Advances for Understanding Social Connectivity and Environmental Implications in Multi-Use Landscapes

Potential of image optimization on websites of rural tourism facilities in Poland

Time Varying Spillovers between the Online Search Volume and Stock Returns: Case of CESEE Markets

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