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Title Including Urban Metabolism Principles in Decision-Making: A Methodology for Planning Waste and Resource Management
ID_Doc 20713
Authors Longato, D; Lucertini, G; Dalla Fontana, M; Musco, F
Title Including Urban Metabolism Principles in Decision-Making: A Methodology for Planning Waste and Resource Management
Year 2019
Published Sustainability, 11, 7
DOI 10.3390/su11072101
Abstract Circular economy and urban metabolism concepts have recently received great attention both in the political and academic arenas, starting a roll-over process of the take, make, and dispose dominant economic model that is leading to an ongoing increase of resource consumption and waste generation. However, there is a relative lack of guidelines for introducing such concepts in a decision-making process able to support the design of appropriate policies and strategies and the definition of specific actions to cope with such challenges. This paper attempts to contribute to the recent efforts at incorporating these concepts in policy and decision-making processes by providing a methodology for the development of strategic plans for waste prevention and resource management. The proposed methodology, developed within the Urban_WINS project, combines different quantitative-analytical and qualitative methods and tools, together with a participatory process. The methodology was tested in eight EU cities and allowed to formulate several measures and actions aimed at addressing the challenges posed by the current consumption patterns. Moreover, the participatory approach led to the legitimization of the strategic plans, as well as to raise awareness among stakeholders. Although it might require specific tailor-made adjustments, this methodology is suitable to be replicated in other contexts.
Author Keywords circular economy; urban metabolism; waste prevention; resource management; policy-making; stakeholders' engagement; strategic planning; urban sustainability
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000466551600278
WoS Category Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies
Research Area Science & Technology - Other Topics; Environmental Sciences & Ecology
PDF https://www.mdpi.com/2071-1050/11/7/2101/pdf?version=1554796808
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