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231225s2018 xx |||||o 00| ||eng c |
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|a 10.1016/j.wasman.2018.03.031
|2 doi
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|a pubmed25n0940.xml
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|a (PII)S0956-053X(18)30173-9
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Elimelech, Efrat
|e verfasserin
|4 aut
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| 245 |
1 |
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|a What gets measured gets managed
|b A new method of measuring household food waste
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|c 2018
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Completed 13.08.2018
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|a Date Revised 02.12.2018
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Copyright © 2018 Elsevier Ltd. All rights reserved.
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|a The quantification of household food waste is an essential part of setting policies and waste reduction goals, but it is very difficult to estimate. Current methods include either direct measurements (physical waste surveys) or measurements based on self-reports (diaries, interviews, and questionnaires). The main limitation of the first method is that it cannot always trace the waste source, i.e., an individual household, whereas the second method lacks objectivity. This article presents a new measurement method that offers a solution to these challenges by measuring daily produced food waste at the household level. This method is based on four main principles: (1) capturing waste as it enters the stream, (2) collecting waste samples at the doorstep, (3) using the individual household as the sampling unit, and (4) collecting and sorting waste daily. We tested the feasibility of the new method with an empirical study of 192 households, measuring the actual amounts of food waste from households as well as its composition. Household food waste accounted for 45% of total waste (573 g/day per capita), of which 54% was identified as avoidable. Approximately two thirds of avoidable waste consisted of vegetables and fruit. These results are similar to previous findings from waste surveys, yet the new method showed a higher level of accuracy. The feasibility test suggests that the proposed method provides a practical tool for policy makers for setting policy based on reliable empirical data and monitoring the effectiveness of different policies over time
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|a Journal Article
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|a Avoidable food waste
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|a Food waste composition
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|a Food waste generation rate
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|a Food waste quantification
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|a Household food waste
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1 |
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|a Ayalon, Ofira
|e verfasserin
|4 aut
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|a Ert, Eyal
|e verfasserin
|4 aut
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|i Enthalten in
|t Waste management (New York, N.Y.)
|d 1999
|g 76(2018) vom: 01. Juni, Seite 68-81
|w (DE-627)NLM098197061
|x 1879-2456
|7 nnns
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| 773 |
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|g volume:76
|g year:2018
|g day:01
|g month:06
|g pages:68-81
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|u http://dx.doi.org/10.1016/j.wasman.2018.03.031
|3 Volltext
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