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The tree structure: A general framework for food waste quantification in food services
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Food, Nutrition and Dietetics.
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2018 (English)In: Resources, Conservation and Recycling, ISSN 0921-3449, E-ISSN 1879-0658, Vol. 130, p. 140-151Article in journal (Refereed) Published
Abstract [en]

Food waste in the food services industry has been identified as an important unsustainability hotspot, but standardised methods for food waste quantification are lacking. Existing studies on waste quantity assessments have several limitations, such as short and infrequent quantifications times, large methodological variations ranging from physical measurements to visual observations, and lack of comparability across catering unit types. Since lack of comparable waste figures can lead to error-prone analysis, a general framework is needed for waste quantification in food services. This paper presents one such framework that allows data comparisons when overlapping observations are included. The framework was tested in six case studies in professional (public and private) catering units in Sweden. Data were collected from different schools, elderly care homes and hotels and fitted into the framework. The results from these case studies indicate that the framework enables catering units to focus waste quantification on their individual problem areas. It also provides the possibility to extend waste quantification over time without any loss of generalisability. A graphical representation of the framework fits the traditional tree structure and was found to act as a suitable foundation for food waste quantification in food services by structuring collected data. In order to fully utilise the potential of the tree structure, it should be supplemented with precise definitions to create a catering food waste quantification standard.

Place, publisher, year, edition, pages
2018. Vol. 130, p. 140-151
National Category
Environmental Sciences related to Agriculture and Land-use
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URN: urn:nbn:se:uu:diva-335487DOI: 10.1016/j.resconrec.2017.11.030ISI: 000423005400018OAI: oai:DiVA.org:uu-335487DiVA, id: diva2:1163062
Available from: 2017-12-05 Created: 2017-12-05 Last updated: 2018-03-06Bibliographically approved

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Persson Osowski, Christine

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