A Text-Mining Approach to Compare Impacts and Benefits of Nature-Based Solutions in Europe

Leydy Alejandra Castellanos, Pierre-Antoine Versini, Olivier Bonin and Ioulia Tchiguirinskaia
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Leydy Alejandra Castellanos: HM&Co Lab, Ecole des Ponts ParisTech, 77455 Champs sur Marne, France
Pierre-Antoine Versini: HM&Co Lab, Ecole des Ponts ParisTech, 77455 Champs sur Marne, France
Olivier Bonin: LVMT, Ecole des Ponts ParisTech, Université Gustave Eiffel, 77455 Champs sur Marne, France
Ioulia Tchiguirinskaia: HM&Co Lab, Ecole des Ponts ParisTech, 77455 Champs sur Marne, France

Sustainability, 2020, vol. 12, issue 18, 1-19

Abstract: Worldwide, a large set of initiatives have been carried out aiming to understand the benefits offered by Nature-Based Solutions (NBS) in urban areas. The European Commission (EC) has founded different projects that have performed scientific literature reviews regarding this topic. To objectively compare their results and consolidate the consensus about the impacts and benefits of NBS, we performed a text mining analysis. This methodology coupled with a visual representation of the data allowed to convert the EC funding projects reports (corpus) into a meaningful structured analysis. This method demonstrated that despite the different literature review methodologies of each report, there are common trends exhibited by the results, e.g., the NBS installation as a strategy of urban resilience, the recognition of ecosystem services (ESS) delivered by nature in urban spaces, or the importance of the EC’s supporting role in the promotion of NBS. In addition, some network specific trends have also emerged and complemented the analysis: the assessment of the NBS performance with indicators, the participatory planning approach to NBS (involving citizen and local communities) and the economic value of their services.

Keywords: text-mining analysis; European project; nature-based solutions; urban resilience (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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