Development of building stock model for an emerging city in India: Learnings for enabling circular economy in the built environment
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DOI: 10.1111/jiec.13483
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- Liang Yuan & Weisheng Lu & Fan Xue & Maosu Li, 2023. "Building feature‐based machine learning regression to quantify urban material stocks: A Hong Kong study," Journal of Industrial Ecology, Yale University, vol. 27(1), pages 336-349, February.
- Paul Gontia & Liane Thuvander & Babak Ebrahimi & Victor Vinas & Leonardo Rosado & Holger Wallbaum, 2019. "Spatial analysis of urban material stock with clustering algorithms: A Northern European case study," Journal of Industrial Ecology, Yale University, vol. 23(6), pages 1328-1343, December.
- Chenling Fu & Yan Zhang & Tianjie Deng & Ichiro Daigo, 2022. "The evolution of material stock research: From exploring to rising to hot studies," Journal of Industrial Ecology, Yale University, vol. 26(2), pages 462-476, April.
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- Teun Johannes Verhagen & Marijn Louise Sauer & Ester van der Voet & Benjamin Sprecher, 2021. "Matching Demolition and Construction Material Flows, an Urban Mining Case Study," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
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