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1000 Titel
  • A dataset of the food self-sufficiency assessment of Bristol and Vienna based on a foodshed approach
1000 Autor/in
  1. Vicente Vicente, José Luis |
  2. Doernberg, Alexandra |
  3. Zasada, Ingo |
  4. Piorr, Annette |
1000 Erscheinungsjahr 2021
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-09-28
1000 Erschienen in
1000 Quellenangabe
  • 38:107434
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.dib.2021.107434 |
1000 Ergänzendes Material
  • https://www.sciencedirect.com/science/article/pii/S2352340921007162?via%3Dihub#sec0008 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • The food self-sufficiency assessment of Bristol and Vienna was developed by applying the Metropolitan Foodshed and Self-sufficiency scenario (MFSS) model [1] in the proposed respective foodsheds. In the case of Vienna 25 surrounding districts (i.e. Niederösterreich region) were selected, whereas for Bristol 5 districts surrounding the city were included. The model takes the consumption patterns as well as the available area for agriculture in the proposed foodsheds as the main inputs. Intermediate calculations are developed using data on population and yields. The outputs after applying the MFSS model are: (1) the area demand (i.e. surface needed to meet the population´s dietary requirements) in terms of surface and radius, and (2) the potential food self-sufficiency, at district level and for the whole foodshed area. The outputs are shown for 12 scenarios resulting after combining four variables: (1) production system (conventional vs organic), (2) dietary shifts (domestic vs current diet), (3) reducing food losses and waste, and (4) population growth 2015–2050. The analytical outputs from the MFSS model are converted in spatial data after applying GIS software. Whereas some of the supporting information on the inputs are shown spatially, the spatial outputs are shown in the co-submitted publication [2], as well as a summary of the datasets shown here. These data can be used to develop food policies in both city-regions as well as to test whether a specific policy is feasible. The data might be especially useful for policymakers and governance actors (e.g. food policy councils) when developing or assessing the food policies for both cities. The data can be used also by policymakers in other cities developing foodshed assessments. Furthermore, other stakeholders (e.g. education, NGOs) might use the data to increase the awareness of the impact of dietary patterns on the food land footprint.
1000 Sacherschließung
lokal Food modeling
lokal Food land footprint
lokal Regional food system
lokal Sustainable food system
lokal Self-reliance
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-3554-9354|https://orcid.org/0000-0003-2909-2327|https://frl.publisso.de/adhoc/uri/WmFzYWRhLCBJbmdv|https://orcid.org/0000-0002-6936-5118
1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung |
  2. Österreichische Forschungsförderungsgesellschaft |
  3. Economic and Social Research Council |
1000 Fördernummer
  1. 033WU003
  2. 730254
  3. ES/S002286/1
1000 Förderprogramm
  1. -
  2. -
  3. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm -
    1000 Fördernummer 033WU003
  2. 1000 joinedFunding-child
    1000 Förderer Österreichische Forschungsförderungsgesellschaft |
    1000 Förderprogramm -
    1000 Fördernummer 730254
  3. 1000 joinedFunding-child
    1000 Förderer Economic and Social Research Council |
    1000 Förderprogramm -
    1000 Fördernummer ES/S002286/1
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6430394.rdf
1000 Erstellt am 2021-11-23T09:04:11.364+0100
1000 Erstellt von 317
1000 beschreibt frl:6430394
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Tue Nov 23 09:05:44 CET 2021
1000 Objekt bearb. Tue Nov 23 09:05:01 CET 2021
1000 Vgl. frl:6430394
1000 Oai Id
  1. oai:frl.publisso.de:frl:6430394 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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