Beschreibung

Driven by the need for increased resource efficiency and sustainability, policy initiatives, e.g. the EU Circular Economy Action Plan, require effective waste and resource management. Present initiatives, however, focus on waste sorting and recycling technologies, neglecting the most decisive processes of waste management – waste generation and segregation at source. Quantity and type of waste flows affect all subsequent waste treatment processes. The goal of the project is to facilitate sustainable waste management by influencing waste generation and segregation at source. Thereto methodologies and knowledge of different disciplines (waste management, social psychology, industrial design) are combined and applied to two Austrian case study cities (Vienna and Krems). Firstly, the project team will jointly investigate factors influencing municipal solid waste flows. Source segregation behaviour is an essential factor whose determinants are to be understood. Contextual factors will be considered as well as the effects of urbanisation. Secondly, designs to promote source segregation will be developed and tested. Thirdly, impacts in the waste management system, its circularity and environmental impacts due to potential changes of municipal solid waste flows will be assessed. Finally, the findings will be synthesized in a planning tool in order to support decision makers in enhancing source segregation to benefit Circular Economy and reduce environmental burdens of waste management.

Details

Projektzeitraum 01.07.2021 - 30.06.2024
Fördergeber sonstige öffentlich-rechtliche Einrichtungen (Körperschaften, Stiftungen, Fonds)
Department

Department für Wirtschafts- und Managementwissenschaften - Danube Business School

Zentrum für Allgemeine Betriebswirtschaftslehre

Projekt­verantwortung (Universität für Weiterbildung Krems) Mag. Dr. Barbara Hartl

Publikationen

Windhager, F.; Amor-Amorós, A.; Smuc, M.; Federico, P.; Zenk, L.; Miksch, S. (2015). A Concept for the Exploratory Visualization of Patent Network Dynamics. Proceedings of the 6th International Conference on Information Visualization Theory and Applications (IVAPP'15) Berlin: 268-274, Scitepress

Windhager, F.; Schreder, G.; Smuc, M.; Mayr, E. (2015). Drawing Things Together: Supporting Information Visualizations' Coherence across Multiple Views. Proceedings of the IEEE Information Visualization Conference 2016 (Posters Compendium), IEEE Computer Society Press

Kriglstein, S.; Pohl, M.; Smuc, M. (2013). Pep Up Your Time Machine: Recommendations for the Design of Information Visualizations of Time-Dependent Data. In: Huang, W., Handbook of Human Centric Visualization, Springer Science + Business Media, NY, USA

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