Interview transcripts of "The Build Back Circular Framework: Circular Economy Strategies for Post-Disaster Reconstruction and Recovery"
doi: 10.4121/7cd30541-f7d6-4a6f-be1c-90062f1a3ae6
This dataset includes the transcripts of 21 expert interviews conducted for the research article titled "The Build Back Circular Framework: Circular Economy Strategies for Post-Disaster Reconstruction and Recovery." published in Circular Economy and Sustainability (Springer Nature) in 2025. The study investigates the application of circular economy (CE) principles—narrowing, slowing, closing, and regenerating resource loops—in post-disaster reconstruction and recovery, specifically focusing on the 2023 Kahramanmaraş earthquakes in Türkiye. The interviews explore stakeholder perspectives on the feasibility, challenges, and opportunities of integrating CE strategies into disaster recovery processes.
Methodology and Data Collection Techniques
Study Design: The research employs an exploratory qualitative design, combining an integrative literature review, a workshop, and semi-structured expert interviews to develop the Build Back Circular (BBC) framework.
Interviews:
- Participants: 21 experts across academia, government, construction, urban planning, and civil society.
- Format: Semi-structured interviews were conducted to allow in-depth exploration of themes while ensuring consistency across respondents.
- Duration: Each interview lasted approximately 30–100 minutes.
- Content: Questions focused on the application of CE principles in reconstruction, existing barriers, and actionable strategies.
- Location and Language: Interviews were conducted online in English and/or Turkish.
Ethical Considerations: Ethical approval was obtained from TU Delft HREC Committee, ensuring adherence to legal and ethical research requirements. Interviewees provided informed consent, including permission for anonymized data usage in open-access academic publications.
- 2025-01-15 first online, published, posted
- NWO Embassy Science Fellowship (grant code 483.23.003) Dutch Research Council
DATA
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3f876d9b0022166174d429de682faa2a
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