Explore this curated selection of data-driven projects, where we show how the power of (Big) Data analysis enables tourism service providers and destinations to gain profound insights into market trends employ predictive analytics for future trends and understand consumer behaviours. Use these insights to develop innovative marketing strategies and optimize your services. Discover how data is reshaping the future of the tourism industry.

Unraveling the Movement Patterns of Tourists through Advanced Data Analysis

In today’s world, where overtourism poses a significant challenge, the key to sustainable and efficient tourism management lies in understanding visitor behavior. This is where the power of data from mobile devices comes into play, offering an unparalleled window into tourist movements and preferences. My current projects are at the forefront of this exciting field, harnessing the vast potential of mobile data to model tourism behavior and visualize visitor flows.

The focus is on dissecting the intricate details of where tourists originate, the specific attractions they flock to, and the variations in preferences across different nationalities. By examining over 1 million data points, I am exploring critical questions like: What are the popular spots and landmarks that captivate tourists? Do tourists from different countries exhibit unique visiting patterns? How long do visitors linger at these attractions, and are there discernible patterns in how they move around the destination?

The analysis, showcasing the movement patterns of German tourists during the summer of 2020 in the picturesque city of Salzburg. This visual representation is not just a map; it’s a story of travel, preferences, and the invisible threads that connect different places within a destination. Through this analysis, visitor guidance emerges as the buzzword of the day, offering a strategic approach to managing tourist flows and enhancing the overall visitor experience. Stay tuned as we continue to unravel the secrets of tourist behavior, one data point at a time.

„Discover the Unseen: Mapping the Multifaceted Tourist Through Images“

Tourists are a kaleidoscope of choices, ever-changing and unpredictable. One day, they might be navigating the rustic routes of Croatia in a camping bus, and the next, they could be luxuriating in a 4-star hotel in Tyrol, carving through snowy slopes. From bustling shopping sprees in London to the reflective pilgrimage along the Way of St. James, their travel personas are as diverse as the destinations they explore. But how can we categorize such hybrid profiles? Our groundbreaking approach offers a solution. By having individuals select images, each encapsulating a myriad of hidden annotations transformed into a 100-dimensional vector, we delve into the heart of this complexity. These vectors are then clustered using the innovative Louvain’s algorithm. The journey doesn’t end here – a dimensional reduction through techniques like t-SNE or UMAP leads to a striking visual representation. This method doesn’t just map out tourist types; it paints a vivid picture of the multifaceted traveler. Join us as we redefine tourist typology through the lens of imagery.

Discover the Hidden Gems of Austria Through Instagram Insights!

Our study for the Austrian National Tourism Office dives deep into 100,000 Instagram posts, revealing a new perspective on tourism hotspots. We’ve meticulously crawled and analyzed images, focusing on Austria-specific hashtags. By employing sophisticated multi-layer k-Means clustering, we’ve mapped these insights onto a dynamic dashboard. Our innovative approach uncovers geographical ‚blind spots‘ in destination marketing, offering a unique view of customer perspectives. Get ready to explore our findings in the upcoming open-access paper, ‚A Machine Learning Approach to Cluster Destination Image on Instagram,‘ soon to be published in ‚Tourism Management‘ journal. Stay tuned for a groundbreaking exploration of Austria’s tourism landscape!“