Stolen Dnipro

Stolen Dnipro

Organisation: (Ukraine)

Publication Date: 04/05/2016

Size of team/newsroom:small


The Dnipro River splits Kyiv, the capital of Ukraine, into the West and the East sides. For many year its beauty attracts not only ordinary citizens and tourists who want to walk along the banks of the river, but also those ones who wants to have a privileged access to the river. During last years such privileged access in part of riverbanks became a rule and therefore today the area surrounding water is powdered with high fences and private property. We’ve made an investigation of the banks of the Dnipro in Kyiv using a motor boat, a bicycles and a camera, and also using data from official registry of landowners. In such a way we’ve discovered that only 15% of the territory of the banks are available to the public. The essential part of it is stolen by landowners who build fences and prevent access, despite the fact that building new houses near (generally 100 m) from a beach and/or shoreline is prohibited by Ukrainian laws. This application is an scrollitelling with interactive map, video, photo and text from our investigation. It shows all the problems with access to the river. Three main categories of the territory of the banks have been visualized: 1) comfortable 15% of the territory with full access, 2) problematic 55% of the banks which are usually blocked up with infrastructure and/or cluttered up with shrubs and plants 3) closed 30% of the territory that is occupied illegally

What makes this project innovative? What was its impact?

The issue of the access to the banks of the Dnipro river have been ignored for a long time despite the attempts of local activists to defend the river. To make this problem sufficient and transparent we used the visualization tools and self-created maps of the riverbanks. Our approach to the old problem has already brought the results: our maps and investigations were discussed on the level of local authorities of the capital.

Technologies used for this project:

We used QGIS to analyze collected geo-data and data from OSM. We made custom tiles for interactive map with Tilemill. Map was created with leaflet.js. D3.js visualization library was used for interactive parts of this long-read and for modelling a pedestrian flow.
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