A novel machine-learning approach for evaluating rebounds-associated environmental footprint of households and application to cooperative housing

Shinde, Rhythima; Froemelt, Andreas; Kim, Aleksandra; Hellweg, Stefanie

doi:10.1016/j.jenvman.2021.114205

Cited by 8 publications

(6 citation statements)

References 51 publications

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“…Indirect, income‐related rebounds were calculated using the model by Shinde et al. (2021). For example, if a sufficiency measure leads to reduced expenses, the money saved may be spent on other consumption.…”

Section: Case Studiesmentioning

confidence: 99%

“…Those delayed impacts are not considered by Shinde et al. (2021) but could theoretically be included in an extended scenario analysis. For more details on the indirect rebound calculations, see supporting information SI1, section 3.2.2.…”

Section: Case Studiesmentioning

confidence: 99%

“…Rebound effects of the different scenarios for furniture were modeled in the same way as for clothing, using the model by Shinde et al. (2021). See section 4.2.1 in supporting information SI1 for a more detailed explanation of the rebound modeling.…”

Section: Case Studiesmentioning

confidence: 99%

“…The model assumes that some of the money is not immediately spent on consumption but saved, leading to a delayed impact. Those delayed impacts are not considered by Shinde et al (2021) but could theoretically be included in an extended scenario analysis. For more details on the indirect rebound calculations, see supporting information SI1, section 3.2.2.…”

Section: Development Of Waste Prevention Scenariosmentioning

confidence: 99%

“…In this paper, rebounds were calculated for households with median income. As shown in Shinde et al (2022), rebounds can vary depending on income class and other properties. Further insights could be obtained by assessing the suitability of the different scenarios to different income groups, since these are differently impacted by the rebound effect.…”

Section: Waste Prevention Assessment Approachmentioning

confidence: 99%

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Turning trash into treasure: An approach to the environmental assessment of waste prevention and its application to clothing and furniture in Switzerland

Wiprächtiger

Rapp²,

Hellweg

et al. 2022

J of Industrial Ecology

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According to the waste hierarchy, waste prevention is environmentally superior to recycling or recovery, hence its inclusion in government policy. The assessment and prioritization of waste prevention strategies are impeded, inter alia, by ambiguous definitions and the lack of a sound environmental assessment method. In this study, a systematic approach to the environmental assessment of waste prevention activities (WPAs), covering the whole life cycle of products, was developed. The approach combines material flow analysis and life cycle assessment with a sustainable circular system design framework whilst giving special consideration to pivotal factors such as diffusion factor (share of population engaging in WPA), substitutability (degree to which a new product is replaced), effects on use‐phase impacts, and rebound effects. The application of the approach to the case studies of clothing and household furniture in Switzerland revealed lower impact saving potential than assumed initially, due to lack of participation, low substitutability, or high rebounds. For example, reusing clothing locally, instead of exporting it to low‐income countries, as currently done, displayed no or even negative impact savings since secondhand clothing in high‐income countries is often consumed in addition to new clothing. Drastic scenarios for clothes led to only moderate impact reductions of less than 15%, whereas a take‐back scheme for furniture reduced impacts by 70%. Concluding, the four factors (diffusion rate, substitutability, effects on use‐phase impacts, and rebounds) proved crucial in the assessment of waste prevention strategies and the approach presented was able to pinpoint improvement potentials of the waste prevention scenarios investigated.

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Section: Case Studiesmentioning

confidence: 99%

Section: Case Studiesmentioning

confidence: 99%

Section: Case Studiesmentioning

confidence: 99%

Section: Development Of Waste Prevention Scenariosmentioning

confidence: 99%

Section: Waste Prevention Assessment Approachmentioning

confidence: 99%

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