Downscaling Aggregate Urban Metabolism Accounts to Local Districts
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Cited by:
- Marco Bianchi & Carlos Tapia & Ikerne del Valle, 2020. "Monitoring domestic material consumption at lower territorial levels: A novel data downscaling method," Journal of Industrial Ecology, Yale University, vol. 24(5), pages 1074-1087, October.
- Viktoras Kulionis & Andreas Froemelt & Stephan Pfister, 2024. "Multiscale Orientation Values for Biodiversity, Climate and Water: A Scientific Input for Science- Based Targets," Papers 2403.11680, arXiv.org.
- Andreas Froemelt & René Buffat & Stefanie Hellweg, 2020. "Machine learning based modeling of households: A regionalized bottom‐up approach to investigate consumption‐induced environmental impacts," Journal of Industrial Ecology, Yale University, vol. 24(3), pages 639-652, June.
- Plank, Christina & Görg, Christoph & Kalt, Gerald & Kaufmann, Lisa & Dullinger, Stefan & Krausmann, Fridolin, 2023. "“Biomass from somewhere?” Governing the spatial mismatch of Viennese biomass consumption and its impact on biodiversity," Land Use Policy, Elsevier, vol. 131(C).
- Wei Xie & Huajun Yu & Yang Li & Min Dai & Xinyi Long & Nan Li & Yutao Wang, 2022. "Estimation of entity‐level land use and its application in urban sectoral land use footprint: A bottom‐up model with emerging geospatial data," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 309-322, February.
- Minghao Xu & Dingjiang Chen & Yadong Yu & Zengbo Chen & Yupeng Zhang & Bomin Liu & Yike Fu & Bing Zhu, 2021. "Assessing resource consumption at the subnational level: A novel accounting method based on provincial selected material consumption," Journal of Industrial Ecology, Yale University, vol. 25(3), pages 580-592, June.
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