Advanced food waste quantification at municipal level to strengthen the assessment of prevention actions

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dc.contributor.authorOlano Oteiza, BegoƱa Untzizu
dc.contributor.authorAmador Cervera, Manuel
dc.contributor.authorVargas Viedma, Virginia
dc.contributor.authorAlonso Vicario, Ainhoa
dc.date.accessioned2025-09-26T10:41:30Z
dc.date.available2025-09-26T10:41:30Z
dc.date.issued2025-08-12
dc.date.updated2025-09-26T10:41:30Z
dc.description.abstractFood loss and waste (FLW) demands urgent attention: over 58 million tonnes wasted annually in the EU, while 828 million people face hunger worldwide. SDG 12.3 targets a 50% reduction in FLW by 2030, requiring rigorous quantification. Governments must quantify FLW, especially at the consumption stage, where most of FLW is generated. However, the limited granularity of existing data emphasises the need for improved quantification methods that enable reliable comparisons and set solid basis to measure the impact of future FLW prevention actions. This paper proposes a FLW quantification methodology at municipal and regional scales aligned with the existing urban waste management requirements. The methodology involved experts and stakeholders to define the optimal FLW quantification framework and measurement method. It was validated in 6 Basque municipalities with a common waste characterisation matrix to compare waste fractions, generator types and waste collection systems. A cartographic analysis, from regional to street level, demonstrates how data granularity shapes FLW pattern interpretation. As in the case of Zamudio, where data at container level permits detailed insights. This approach enables improved waste collection and the design of ad-hoc FLW prevention actions (like economic instruments) according to the generator profile and type of FLW.en
dc.description.sponsorshipThis study has received funding from: (1) the European Union Horizon 2020 research and innovation program under grant agreement no. 101000617 (FOODRUS project); (2) The Provincial Council of Gipuzkoa; (3) the Basque Government grant for Research Groups, ā€œGrupos de investigaciĆ³n del Sistema Universitario Vasco, Departamento de EducaciĆ³n, Universidades e InvestigaciĆ³nā€ (Research group: IT1677-22); (4) the financial support provided by the the FormaciĆ³n de Personal Investigador (FPI grant) from the University of Deusto; (5) the European Union Horizon 2020 research and innovation program under grant agreement no. 101059849 (TONOWASTE project)en
dc.identifier.citationOlano-Oteiza, B. U., Amador-Cervera, M., Vargas-Viedma, M. V., & Alonso-Vicario, A. (2025). Advanced food waste quantification at municipal level to strengthen the assessment of prevention actions. Scientific Reports, 15(1). https://doi.org/10.1038/S41598-025-12943-2
dc.identifier.doi10.1038/S41598-025-12943-2
dc.identifier.eissn2045-2322
dc.identifier.urihttps://hdl.handle.net/20.500.14454/3758
dc.language.isoeng
dc.publisherNature Research
dc.rightsĀ© The Author(s) 2025
dc.subject.otherCircular economy
dc.subject.otherFood waste
dc.subject.otherFood waste quantification
dc.subject.otherSustainability
dc.subject.otherWaste management
dc.subject.otherWaste prevention
dc.titleAdvanced food waste quantification at municipal level to strengthen the assessment of prevention actionsen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.issue1
oaire.citation.titleScientific Reports
oaire.citation.volume15
oaire.licenseConditionhttps://creativecommons.org/licenses/by-nc-nd/4.0/
oaire.versionVoR
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