Digital visitor guidance in the Seefeld region

Since 2022, visitor numbers at selected Points of Interest (POIs) in the Seefeld region have been measured using anonymized mobile phone data. Until now, this data has only been observed and not actively utilized - thus, its potential for active visitor management has remained untapped. At the same time, significant peaks in occupancy and an uneven distribution of visitor flows have been evident during the peak seasons. The aim of the project is to achieve data-driven visitor management and to harmonize nature, quality of experience, and regional value creation.

16 Points of Interest (POIs) have been defined in the region, where visitor numbers are systematically measured. Based on this, a forecasting model has been developed that relies on a 7-day prediction while taking into account weather data and holiday calendars from the most important source markets. Specific visualization ideas for a user-friendly presentation of the data are already in progress.

The technical implementation, especially the training of the machine learning model, is complex. At the same time, the correct interpretation of the data – for instance, the question "When is full?" – poses a challenge. Another hurdle is the user-friendly and visual presentation of the data. Furthermore, it is necessary to reconcile the interests of different stakeholders.

The model is to be further developed and supplemented with additional data such as event dates and the data from a total of seven new weather stations in the region. Additionally, a more precise delineation of the Points of Interest is planned. The goal is to integrate forecasts at several touchpoints – for example, through info screens in hotels.