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Programme:: Jubiläumsfonds der Stadt Wien für die Universität für Bodenkultur Wien

Staff: Borgwardt Florian, Project Staff; Hainz-Renetzeder Christa, Project Staff; Leisch Friedrich, Project Staff; Ortega Menjivar Lena, Project Staff; Wanner Alice, Project Staff; Binder Michael, Project Staff

BOKU Research Units: Institute for Landscape Development, Recreation and Conservation Planning; Institute of Hydrobiology and Aquatic Ecosystem Management (IHG); Institute of Statistics

Abstract: Recreational uses of urban recreation areas are of enormous importance in our society. In the Covid-19 pandemic, this importance led to changed recovery patterns of humans and thus increased pressure on ecosystems, as human activities are also a major contributor to the ongoing rapid global loss of biodiversity. The current management approaches for urban recreation areas, which take into account ecological, recreational but also economic aspects are inadequately linked and harmonized. A better understanding of the interactions between humans and nature is therefore crucial for the conservation and management of ecosystems, but collecting relevant data remains a challenge. In modern times, however, more and more data sets are freely available, which represent an important basis for intrusive questions.
In the #WienerErholungsgebiete project, social media data in the area of Vienna and around are analyzed jointly with data about the status of ecosystems. By bringing together novel research approaches and data sources, we are trying to better understand how leisure activities, freshwater- and terrestrial ecosystems and their use are interrelated.
The results of these analyzes provide important information which can help to make leisure activities in the city of Vienna and its surroundings more sustainable and enable further protection of ecosystems.

Keywords: Data mining; Data science; Hydrobiology; Ecosystem research; Landscape planning; Urban ecology;; Recreational use; Freshwater- and forest ecosystems; Urban recreation areas; Ecological status; Social media data;