We seek to compute utilization information for public spaces, in particular forests: which parts are used by how many people. Our contribution is threefold. First, we present a sound model for computing this information from publicly available data such as road maps and population counts. Second, we present efficient algorithms for computing the desired utilization information according to this model. Third, we provide an experimental evaluation with respect to both efficiency and quality, as well as an interactive web application, that visualizes our result as a heat-map layer on top of OpenStreetMap data.
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