A review of indicators for the characterization of urban food systems using a socio-ecological and urban indicator framework

Data and Resources

Interoperability


Groups


Additional Info

Field Value
Identifier http://hdl.handle.net/10261/372891
Author
Project
Name A review of indicators for the characterization of urban food systems using a socio-ecological and urban indicator framework
Description

This dataset compiles the results of a literature review and analysis that enabled the development of an indicator framework for the characterization of urban systems from a socio-ecological and urban perspective. It is part of the project FOODTRANSITIONS - Transitions towards Global Sustainability and Food Security: Assembling Sustainable and Just Cities TED2021-129660A-I00, funded by the MCIN/AEI/10.13039/501100011033 y and the European Union under “NextGenerationEU”/PRTR. It contains 38 documents analyzed, identified through Boolean searches on Scopus and grey literature complemented by the professional experience of the authors. The selected indicators were organised and prioritised based on their frequency and relevance, allowing their subsequent validation through a Delphi process. The files include the list of reviewed documents, the analysis results in Atlas.ti, and the first iteration of the indicator framework.

Themes Economy
Tags
Creation date 2024-11-26T00:00:00
Last updated 2024-11-26T00:00:00
Refresh rate
Languages
  • Spanish
  • English
Geographic coverage
    Geographic coverage (International)
    Time coverage
    • From 2023-11-01 01:00 to 2023-11-30 01:00
    Effective resource
    Related resources
      Normative
        Institute
        Publisher Publicador - Digital.CSIC
        Observations

        Recommended citation for this dataset: Zerbian, Tanya; Berti, Lorenzo; Flomesta, José; Moragues-Faus, Ana; López-García, Daniel; (2024); A review of indicators for the characterization of urban food systems using a socio-ecological and urban indicator framework [Dataset]; DIGITAL.CSIC; DOI https://doi.org/10.20350/digitalCSIC/16685