Abstract
Across Europe, the current system of waste management is responsible for environmental pollution, leading to the need of a transition towards a circular economy model, and towards systemic approaches for achieving sustainable objectives. Interpreting waste as resource – through the development of eco-innovative solutions – can play a positive impact on the quality of life and of the environment. REPAiR1 research project proposes eco-innovative strategies, in order to co-design and assess solutions, involving a series of decisional problems that require the development of Spatial Decision Support System, described in their general structure and with a focus on the REPAiR project.
Highlights
The transition from a linear to a circular model of growth is one of the most important challenges that the contemporary society need to face
The main opportunities and criticalities related to Circular Economy (CE) are present in cities, which can be considered as priority sites to implement innovative change models
The conversion of natural resources in goods, services and eventually in waste is related to the metabolic functioning of the territory
Summary
The transition from a linear to a circular model of (economic) growth is one of the most important challenges that the contemporary society need to face. In addition to the reduction of environmental hazards, to implement an eco-innovation there is the need to innovate the current economic framework increasingly transforming the production and/or market models for the achievement of environmental sustainability objectives In this light, the support to new processes, technologies and services is essential for a greater respect of the environment by enterprises in order to optimize European growth potential. The research focuses, with a multi-scale approach, on the individuation of adaptive solutions to case-specific problems to be developed within a co-creation process implemented in the Peri-Urban Living Labs (PULLs) environments With this purpose, REPAiR project applies a variety of methodologies; among them, the Quadruple Helix (QH) model (Arnkil et al 2010) that ensures the achievement of innovations through the interaction between knowledge and information, human resources, financial capital and institutions (Carayannis & Campbell 2006). The last three phases represent the test of the EIS, to be able to prove their effectiveness or the possible criticalities and potentialities, with the aim of making them replicable in different contexts
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