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An Empirical Analysis of Driving Factors and Policy Enablers of Heritage Adaptive Reuse within the Circular Economy Framework

Ikiz Kaya, Deniz, Pintossi, Nadia, Dane, Gamze·2021·Sustainability
DOI 10.3390/su13052479
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Abstract

The adaptive reuse of cultural heritage has been recognized as a driver of the circular economy. It stimulates economic growth, boosts its inherent values, and reduces material usage and energy consumption. It can be regarded unviable due to financial constraints, limitations in regulatory frameworks and lack of engagement in decision-making. To tackle these challenges, this study aims to examine the drivers and related policy instruments that support adaptive reuse practices, and to analyze the usefulness and feasibility of a set of multi-level policy enablers at varying local contexts. In this context, we first conducted a semi-systematic review of academic and gray literature and identified 19 driving factors and associated policy documents. These instruments were concentrated on administrative, regulatory and financial tools. This analysis led to the identification of policy enablers that can be adopted at three levels: European, national and local. An online survey was then conducted to investigate how a variety of local stakeholders in the selected case cities and region evaluate the adaptability of these enablers in their individual cases. The findings show that all the assessed enablers are deemed useful and feasible to a certain extent with higher score of usefulness, confirming the adaptability of these instruments into the circular economy framework. These evidence-based results can inform future policies at multiple-levels that will accelerate and scale up circular actions through heritage adaptive reuse.

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Metadata

Authors
Ikiz Kaya, D., Pintossi, N., & Dane, G.
Affiliations
Department of the Built Environment, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
ORCID
Venue
Sustainability
Publisher
MDPI AG
Published
2021-02-25
Volume
13
Issue
5
Pages
2479
ISSN
2071-1050
DOI
10.3390/su13052479
Cited by
69
References
4
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
Horizon 2020 Framework Programme (776758)

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