Washing with (con)science — Combining psychology and life cycle assessment to better understand the environmental impacts from domestic laundering
Doctoral thesis, 2024
Since behaviours are adaptive, they need to be treated as systemic components in LCAs rather than as static values. Failing to do so might otherwise result in compensatory behaviours and burden shifting. By using insights from psychology and sociology as a starting point for the analysis, LCAs can offer a more nuanced assessment of the environmental impacts of consumer products and services. A social perspective also permits a more comprehensive assessment of societal trends, such as the rebound effect. With a more holistic understanding of why people engage in certain behaviours, LCAs can better guide interventions and policies towards targeting motivations rather than focusing on the consequences of behaviours. As such, a social perspective in an LCA is critical for the success of any policy or initiative aimed at reducing environmental impacts where the use phase is a significant contributor.
behaviour
LCA
environmental psychology
domestic laundering
Author
Erik Klint
Chalmers, Technology Management and Economics, Environmental Systems Analysis
Sharing is caring - the importance of capital goods when assessing environmental impacts from private and shared laundry systems in Sweden
International Journal of Life Cycle Assessment,;Vol. 26(2021)p. 1085-1099
Journal article
No stain, no pain – A multidisciplinary review of factors underlying domestic laundering
Energy Research and Social Science,;Vol. 84(2022)
Review article
Mind the (reporting) gap—a scoping study comparing measured laundry decisions with self-reported laundry behaviour
International Journal of Life Cycle Assessment,;Vol. 28(2023)p. 1211-1222
Journal article
Pro-environmental behaviour is undermined by disgust sensitivity: The case of excessive laundering
PLoS ONE,;Vol. 19(2024)
Journal article
Klint, E., Peters, G., Ekvall, T., Loads of trouble – Assessing the rebound effect of domestic laundering using LCA
Estimations of environmental impacts from consumer behaviours often rely on a technical perspective that emphasises numbers and units. However, in real life, the reason why we choose to consume many products and services might not be captured by a quantified value. For example, we visit a restaurant because we enjoy the exciting new tastes and good atmosphere, not because of the caloric content of the food. Likewise, which clothes we choose to wear are motivated by style and how well they fit rather than the materials that the garment consists of.
This thesis focuses on domestic laundering. It shows that how often we wash our clothes is better motivated by social fears of being seen as unclean than environmental concerns. While this might seem obvious to some, such psychological aspects are seldom accounted for when trying to estimate environmental impacts.
A contemporary technical perspective offers many advantages but falls short when trying to analyse socially motivated societal trends. The main conclusion of this research is that in order to understand the impacts of consumer behaviour, we need to expand the technical perspective with a social one. By doing this, we can better explain why emissions from laundering are growing steadily even though washing machines are becoming increasingly energy efficient. This expansion not only improves the analysis but also allows for the identification of more suitable initiatives that try to reduce environmental impacts.
The Future of the Laundry
HSB Living Lab (HSB Living lab forskningsfond), 2017-03-02 -- 2019-02-28.
Driving Forces
Sustainable development
Subject Categories
Psychology
Environmental Management
Environmental Analysis and Construction Information Technology
Environmental Sciences
Climate Research
Computer Science
Areas of Advance
Energy
Infrastructure
HSB living lab
ISBN
978-91-8103-082-2
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5540
Publisher
Chalmers
Vasa A, Vera Sandbergs Allé 8
Opponent: Wencke Gwozdz, Justus Liebig University of Giessen, Germany
Related datasets
Domestic laundering behaviours in Sweden [dataset]
DOI: 10.5878/cnaf-v548 ID: 2023-237