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Food labels are able to support consumers in making more sustainable food choices in out-of-home consumption situations. Thereby, the effect of changing consumption behaviour depends on the format of food labels and on the information it provides. In order to assess the importance of the amount of information as well as the design of food labels displaying sustainability aspects, we test different formats of food labels using a best-worst choice design. So far, no research tested a variation of information depth while keeping label designs fixed. We find clear preferences across both dimensions. Results indicate that consumers regard labels with a higher information depth as more helpful in order to choose a sustainable meal. For the label design it became obvious that the slider-design is preferred over footprints and traffic light label design.
Since human nutrition is responsible for about 30 % of the global natural resource use and in order to decrease resource use to a level in line with planetary boundaries, Lukas et al. (2016) proposed a re-source use reduction in the nutrition sector by a factor 2 (Material Footprint).
The catering sector needs clearly defined indicators to assess their business activities' impact on ecology, social aspects, economic value, and health status. Within the project NAHGAST two sets of indicators, called NAHGAST Meal-Basis and NAHGAST Meal-Pro were developed. The indicator sets are proposed to measure several, with sustainability-associated challenges, such as such as the ecological, social and economical effects, which may come along with the production and the consumption of a meal. Basically, the NAHGAST Meal-Basis deals with qualitative indicators, such as the amount of organic food per serving or the percentage of food wasted. This set is supposed to enable leaders to assess the sustainability of their meals and to visualize future improvements on a simplistic level. The NAHGAST Meal-Pro deals with a more sophisticated set of indicators, such as the carbon and material footprint or the cost recovery per meal. Both sets are underpinned with sus-tainable targets and elaborated as an Excel-based assessment tool, which is tested within a one-year case study. The usefulness and the limits of the tool, as well as current results of the implementation including pro-posed challenges, are discussed.
What leads to lunch : how social practices impact (non-)sustainable food consumption / eating habits
(2017)
The field of nutrition will face numerous challenges in coming decades; these arise from global consumption patterns and lead to a high use of resources. Actors in the catering sector face difficulties in promoting their solutions for a more sustainable situation in their field, one of them being the lack of acceptance from consumers. We must ask the question of how to influence consumer behavior and bring forth a transition towards more sustainable food consumption. This paper presents results of a qualitative assessment of eating practices. A group of ten consumers participated in problem-centered interviews and provided data on their eating-out behavior over the course of two weeks. Using the theoretical approach of practice theory, the data gathered in this study were used to form an understanding of the practice of eating out with a focus on the daily routines that influence consumer choices. The results indicate that the practice of eating out is highly dependent on external factors. Busy lifestyles, mobility routines and a perceived lack of time prompt the decision to eat out. Consumers consciously do so to save time and effort and to streamline their schedules. Mobility seems to be an important driver for eating out. Participants try to limit the ways they undertake eating out yet often stop for a meal in-between appointments spontaneously. Findings suggest that nutrition knowledge and sustainable mindsets have little influence on the eating decisions away from home: Participants show a high level of distrust towards quality claims and put their health concerns aside eating out. We can conclude that the act of eating out is strongly influenced by daily routines and those practices that precede or succeed it. Changes in work and mobility patterns are very likely to have an impact on the way consumers eat away from home.
Against the background of environmental problems arising from the growing extraction of natural resources and resource depletion, achieving a sustainable development is an indispensable challenge in the twenty-first century. In this article we want to show how socio-technical and product-service innovations can change social practices - the routine doings in everyday life - and, thus, support transition of socio-technical systems. We introduce theoretical considerations on how social practice theories and the framework of the Multi-Level Perspective in transition research can be linked to better understand transition processes from a micro-macro-link perspective. We then present cases based on desk research in the field of practices in bathing, heating and nutrition to show how these have changed over the past decades. Building on this, examples of concepts for sustainable product-service-design in these areas are introduced as leverage points to change social practices in everyday life. These have been developed in research projects or design student seminar works, respectively. We argue that this implies sustainable product-service-systems should be developed in a user- and actor-integrated framework, such as Sustainable LivingLabs. The integration of users and other stakeholders into participatory co-creation processes enables tailored solutions that take actual routines and dependencies seriously into account.
A continuing trend of global urbanization leads to a geographical concentration of population and social activities that causes a regional compression of concomitant resource and energy consumption. This paper argues that a Sustainable Living Lab infrastructure (SusLab) in urban areas facilitates a systematic integration of user's consideration in the design and development of Product-Service Systems (PSS) that enables changes of daily routines in favor of urban wealth development and conservation of ecosystem services. The authors build on the Sustainable Consumption and Production (SCP) Model of the Wuppertal Institute that provides a theoretical framework of sociotechnical rearrangements towards urban sustainability transition. Therefore, a reconfiguration of social practices and PSS in a desired direction according to social, ecological and economic concerns is reconsidered on the micro level in line with efficiency, consistency, and sufficiency strategies. The authors introduce an assessment framework for urban sustainable development and illustrate multifarious concepts of PSS that are aiming to decouple wealth development from resource and energy consumption in urban areas.
In the face of growing popularity of eco-feedback innovations, recent studies draw attention to the relevance of the human factor for a more effective design of eco-feedback. This paper explores these challenges more deeply by employing a mixed methods approach. We provide in-situ insights from a Living Lab experiment on the effect of smart home systems and traffic light feedback on heating energy consumption in private households. Our results from an interrupted time series analysis of logged data on indoor room temperature, CO2 concentration and consumption of natural gas show that the interventions do not affect heating as expected, neither for automating behaviour via high-tech smart home systems nor via low-tech traffic light feedback. Smart home systems do not promise a significant reduction of heating energy consumption and a traffic light feedback on indoor air quality does not lead to a reaction of indoor CO2 concentrations, but may reduce heating energy consumption. Qualitative interviews on heating practices of participants suggests that comfort temperatures, lack of competences and inert heating systems do override expected effects of the feedback interventions. We propose that high-tech smart home systems should carefully consider the handling competences of users. Low-tech feedback products on the other hand should by design stronger address user experience factors like comfort temperatures.
The effectiveness of sustainable product and service innovations is often restricted by limited market acceptance or unexpected consumption patterns. The latter includes rebound effects, which occur when resources liberated by savings are used for further consumption. Recently emerging research from the Living Lab is striving to address and anticipate challenges in innovation design by integrating users in prototyping and field testing product and service innovations. The paper presents findings from a literature review on rebound effects and expert interviews identifying methods to monitor and measures to mitigate rebound effects in early innovation design via Living Lab research.
We find that monitoring and mitigating rebound effects in Living Lab research includes technological and behavioural triggers as well as socio-psychological and time use effects in addition to economic re-spending effects. The experts have confirmed that Living Labs contain the potential to observe complex demand systems of users within experimental designs, encompassing indirect rebound effects in terms of expenditure as well as time use. In this respect, Living Lab research can facilitate support for sustainable innovations, which aim to encourage changes in consumer behaviour, considering re-spending and time use effects simultaneously.
The transformation processes towards a sustainable development are complex. How can science contribute towards new solutions and ideas leading to change in practice? The authors of this book discuss these questions along the energy transition in the building sector.
A transformative research that leaves the neutral observer position needs appropriate concepts and methods: how can knowledge from different disciplines and from practice be integrated in order to be able to explain and understand complex circumstances and interrelations? What role do complex (agent-based) models and experiments play in this respect? Which mix of methods is required in transformative science in order to actively support the actors in transformation processes?
Theses questions are illustrated by the example of the BMBF funded project "EnerTransRuhr".
Background: Global targets for reducing resource use have been set by organizations such as the International Resource Panel and the European Commission. However, these targets exist only at the macro level, e.g., for individual countries. When conducting an environmental analysis at the micro level, resource use is often neglected as an indicator. No sum parameter indicating all abiotic and biotic raw materials has been considered for life cycle assessment, as yet. In fact, life cycle assessment databases even lack some of the specific input flows required to calculate all abiotic and biotic raw materials. In contrast, the cumulative energy demand, an input-based indicator assessing the use of energy resources, is commonly used, particularly when analyzing energy-intensive product systems.
Methods: In view of this, we analyze the environmental relevance of the sum parameter abiotic and biotic raw material demand, which we call the material footprint. First, we show how abiotic and biotic raw material demand can be implemented in the Ecoinvent life cycle assessment database. Employing the adapted database, the material footprint is calculated for 12 individual datasets of chosen materials and crops. The results are compared to those of the cumulated energy demand and four selected impact categories: climate change, ozone depletion, acidification, and terrestrial eutrophication.
Results: The material footprint is generally high in the case of extracted metals and other materials where extraction is associated with a large amount of overburden. This fact can lead to different conclusions being drawn compared to common impact categories or the cumulative energy demand. However, the results show that both the range between the impacts of the different materials and the trends can be similar.
Conclusions: The material footprint is very easy to apply and calculate. It can be implemented in life cycle assessment databases with a few adaptions. Furthermore, an initial comparison with common impact indicators suggests that the material footprint can be used as an input-based indicator to evaluate the environmental burden, without the uncertainty associated with the assessment of emission-based impacts.