A scalable data collection, characterization, and accounting framework for urban material stocks

Arbabi, H. orcid.org/0000-0001-8518-9022, Lanau, M., Li, X. et al. (4 more authors) (2022) A scalable data collection, characterization, and accounting framework for urban material stocks. Journal of Industrial Ecology, 26 (1). pp. 58-71. ISSN 1088-1980

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2021 The Authors. Journal of Industrial Ecology published by Wiley Periodicals LLC on behalf of Yale University. This is an open access article under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/4.0/) which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: bottom-up analysis; building material stock; environmental modeling; industrial ecology; machine learning; mobile mapping
Dates:
  • Published: February 2022
  • Published (online): 25 September 2021
  • Accepted: 1 August 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield)
Funding Information:
Funder
Grant number
Engineering and Physical Sciences Research Council
EP/P016782/1
Engineering and Physical Sciences Research Council
EP/S016627/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/R013411/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/S029273/1
Engineering and Physical Sciences Research Council
EP/V012053/1
Depositing User: Symplectic Sheffield
Date Deposited: 19 Aug 2021 15:51
Last Modified: 11 Mar 2022 16:20
Status: Published
Publisher: Wiley
Refereed: Yes
Identification Number: 10.1111/jiec.13198
Open Archives Initiative ID (OAI ID):

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