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Search Engine Traffic as Input for Predicting Tourist Arrivals

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Information and Communication Technologies in Tourism 2018

Abstract

Due to the perishable nature of tourism services and the limited capacity of tourism firms in serving customers, accurate forecasts of tourism demand are of utmost relevance for the success of tourism businesses. Nowadays, travellers extensively search the web to form expectations and to base their travel decision before visiting a destination. This study presents a novel approach that extends autoregressive forecasting models by considering travellers’ web search behaviour as additional input for predicting tourist arrivals. More precisely, the study presents a method with the capacity to identify relevant search terms and time lags (i.e. time difference between web search activities and corresponding tourist arrivals), and to aggregate these time series into an overall web search index with maximal effect on tourism arrivals. The study is conducted at the leading Swedish mountain destination, Åre, using arrival data and Google web search data for the period 2005–2012. Findings demonstrate the ability of the proposed approach to outperform traditional autoregressive approaches, thus, to increase the predictive power in forecasting tourism demand.

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Author information

Authors and Affiliations

  1. University of Applied Sciences Ravensburg-Weingarten, Weingarten, Germany

    Wolfram Höpken & Tobias Eberle

  2. The European Tourism Research Institute (ETOUR), Mid-Sweden University, Östersund, Sweden

    Matthias Fuchs & Maria Lexhagen

Authors
  1. Wolfram Höpken
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  2. Tobias Eberle
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  3. Matthias Fuchs
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  4. Maria Lexhagen
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Corresponding author

Correspondence to Wolfram Höpken .

Editor information

Editors and Affiliations

  1. School of Hospitality and Tourism Management, University of Surrey, Guildford, United Kingdom

    Brigitte Stangl

  2. Business School, Centre for Tourism Studies, University of Eastern Finland, Kuopio, Finland

    Juho Pesonen

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Höpken, W., Eberle, T., Fuchs, M., Lexhagen, M. (2018). Search Engine Traffic as Input for Predicting Tourist Arrivals. In: Stangl, B., Pesonen, J. (eds) Information and Communication Technologies in Tourism 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-72923-7_29

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