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Estimating tourism statistics with Wikipedia page views

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Alis, Christian M., Letchford, Adrian, Moat, Helen Susannah and Preis, Tobias (2015) Estimating tourism statistics with Wikipedia page views. In: WebSci '15 Web Science Conference, Oxford, 28 Jun - 1 Jul 2015. Published in: WebSci '15 Proceedings of the ACM Web Science Conference (33). pp. 1-2. ISBN 9781450336727 . doi:10.1145/2786451.2786925

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Official URL: http://dx.doi.org/10.1145/2786451.2786925

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Abstract

Decision makers depend on socio-economic indicators to shape the world we inhabit. Reports of these indicators are often delayed due to the effort involved in gathering and aggregating the underlying data. Our increasing interactions with large scale technological systems are generating vast datasets on global human behaviour which are immediately accessible. Here we analyse whether data on how often people view Wikipedia articles might help us to improve estimates of the current number of tourists leaving the UK. Our analyses suggest that in the absence of sufficient history, Wikipedia page views provide an advantage. We conclude that when using adaptive models, Wikipedia usage opens up the possibility to improve estimates of tourism demand.

Item Type: Conference Item (Paper)
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Social Sciences > Warwick Business School > Behavioural Science
Faculty of Social Sciences > Warwick Business School
Library of Congress Subject Headings (LCSH): Wikis (Computer science) , Forecasting, Computational complexity, Tourism -- statistics
Journal or Publication Title: WebSci '15 Proceedings of the ACM Web Science Conference
Publisher: ACM
ISBN: 9781450336727
Book Title: Proceedings of the ACM Web Science Conference on ZZZ - WebSci '15
Official Date: 28 June 2015
Dates:
DateEvent
28 June 2015Published
7 May 2015Accepted
Number: 33
Page Range: pp. 1-2
DOI: 10.1145/2786451.2786925
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: Research Councils UK (RCUK)
Grant number: EP/K039830/1
Conference Paper Type: Paper
Title of Event: WebSci '15 Web Science Conference
Type of Event: Conference
Location of Event: Oxford
Date(s) of Event: 28 Jun - 1 Jul 2015
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