Urban Ecological Footprint of the City of Vaasa with Open Access Data
Braun, Sebastian (2021)
Braun, Sebastian
2021
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2021092117928
https://urn.fi/URN:NBN:fi:amk-2021092117928
Tiivistelmä
This thesis was commissioned by Novia University of Applied Sciences. The aim of this thesis was to calculate the Urban Ecological Footprint (UEF) of the city Vaasa and to develop a repeatable methodology for future assessment of other cities in Finland.
With respect to the methodology, input-output analysis was conducted, and the identified data were computed into a value representing the UEF of Vaasa. Data was collected from FAOstat, LUKE, SYKE, Statistics Finland, and the Corine Land Cover (CLC) 2018 database and processed with equations provided by the Global Footprint Network.
The assessment resulted in an Ecological Footprint of 4.24 gha/cap. Due to the available Biocapacity of 1.27 gha/cap the assessment concluded an Ecological Deficit of -2.97 gha/cap. The results suggest that the Ecological Footprint of an average Vaasa citizen is more sustainable than the Ecological Footprint of an average Finnish person. Finally, limitations of the methodology are identified, and improvements are suggested with more consistent data sources for future application in UEF calculations in Finland.
With respect to the methodology, input-output analysis was conducted, and the identified data were computed into a value representing the UEF of Vaasa. Data was collected from FAOstat, LUKE, SYKE, Statistics Finland, and the Corine Land Cover (CLC) 2018 database and processed with equations provided by the Global Footprint Network.
The assessment resulted in an Ecological Footprint of 4.24 gha/cap. Due to the available Biocapacity of 1.27 gha/cap the assessment concluded an Ecological Deficit of -2.97 gha/cap. The results suggest that the Ecological Footprint of an average Vaasa citizen is more sustainable than the Ecological Footprint of an average Finnish person. Finally, limitations of the methodology are identified, and improvements are suggested with more consistent data sources for future application in UEF calculations in Finland.