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Publication
Beanstalk: a community based passive wi-fi tracking system for analysing tourism dynamics
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Advisor(s)
Abstract(s)
This paper presents Beanstalk, an interactive platform to
assist communities in easily running systematic analysis of
mobility patterns of tourists at their destinations, contributing
in new ways in visualizing spatio-temporal mobility data for
forecasting, tracking trends, detecting patterns and noticing
anomalies. The approach takes advantage of a combination
of passive Wi-Fi tracking and ground truth data provided by
tourism authorities. By analyzing a large dataset for a
medium sized European island, we provide evidence of the
accuracy and effectiveness of this low-cost method in
inferring topological characteristics of tourist behavior and
relevant typologies of trip itineraries. This helps decision
makers in the touristic sector to plan and manage actions
geared towards improving the sustainability and
competitiveness of their touristic regions. In particular, we
argue that in a world where sensing data is becoming
inexpensive, there is an opportunity to use this approach to
deliver data back to local communities which are empowered
to act and leverage this information.
Description
Keywords
Spatio-temporal data Community-analytics Human-data interaction Activity tracking . Faculdade de Ciências Exatas e da Engenharia
Citation
Nunes, N., Ribeiro, M., Prandi, C., & Nisi, V. (2017, June). Beanstalk: a community based passive wi-fi tracking system for analysing tourism dynamics. In Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems (pp. 93-98).
Publisher
ACM