Using a market basket analysis in tourism studies
Damjan Vavpoti\v{c}, Karmen Knavs, Ljubica Kne\v{z}evi\'c Cvelbar

TL;DR
This paper introduces a novel market basket analysis approach using geo-location data to identify tourism service bundles and demand patterns, aiding smart tourism planning and decision-making.
Contribution
It presents a new method applying market basket analysis to geo-location data for understanding tourism consumption patterns at the destination level.
Findings
Effective identification of tourism service bundles
Insights into tourism demand patterns in Vienna
Potential for enhancing smart tourism strategies
Abstract
Understanding tourist visitation patterns is crucial for decision makers in order to create smart tourism industry. A growing body of tourism research uses geo-location data in order to better understand tourism demand. In this paper, we present a new approach based on a market basket analysis. This approach uses geo-location data shared by tourists on tourism platforms in order to bundle the range of available tourism services and understand which experiences are consumed together. The approach was tested on the case of Vienna, Austria. Based on our analyses we argue that the proposed approach has potential for use at the destination level and provides relevant information on tourism demand patterns important for smart tourism decision-making.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
