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

Food 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.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-08-12
DOI
https://doi.org/10.1038/s41598-025-12943-2
Primary Topic
Food Waste Reduction and Sustainability
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Ainhoa Alonso‐Vicario, María Virginia Vargas-Viedma, Manuel Amador Cervera, Begoña Untzizu Olano-Oteiza
Scientific Reports
Food Waste Reduction and Sustainability
article

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

Ainhoa Alonso‐Vicario, María Virginia Vargas-Viedma, Manuel Amador Cervera, Begoña Untzizu Olano-Oteiza
article en

Abstract

Food 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.

Scientific ReportsVol. 15(1)
Universidad de Deusto (ES)
European Commission, Eusko Jaurlaritza, Diputación Foral de Gipuzkoa, Universidad de Deusto, Horizon 2020
Zero hunger
Openalex Percentile: Top 76%
Food Waste Reduction and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Advanced food waste quantification at municipal level to strengthen the assessment of prevention actions — Ainhoa Alonso‐Vicario, María Virginia Vargas-Viedma, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS