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Tracing Hazardous Materials in Registered Records: A Case Study of Demolished and Renovated Buildings in Gothenburg

Wu, Pei-Yu LU ; Mjörnell, Kristina LU ; Mangold, Mikael ; Sandels, Claes and Johansson, Tim (2021) 2069.
Abstract
Hazardous materials encountered during building renovation or demolition processes not only result in uncertainty in cost estimation and the lead time but also hampers material recyclability and reuse. Therefore, the paper discusses the possibility of predicting the extent of the hazardous materials, including asbestos, PCB, mercury, and CFC, through data mining techniques based on registered records. Pre-demolition audits contain observation data that can be used as a sample for statistical prediction through careful processing. By developing an innovative approach of merging data from environmental inventories with building registers, the positive ratio of remaining hazardous materials in the Gothenburg building stock can be estimated.... (More)
Hazardous materials encountered during building renovation or demolition processes not only result in uncertainty in cost estimation and the lead time but also hampers material recyclability and reuse. Therefore, the paper discusses the possibility of predicting the extent of the hazardous materials, including asbestos, PCB, mercury, and CFC, through data mining techniques based on registered records. Pre-demolition audits contain observation data that can be used as a sample for statistical prediction through careful processing. By developing an innovative approach of merging data from environmental inventories with building registers, the positive ratio of remaining hazardous materials in the Gothenburg building stock can be estimated. The study highlights the challenges of creating a training dataset by completing information from the existing environmental inventory, providing new insight into digital protocol development for enhancing material circularity. (Less)
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author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Journal of Physics: Conference Series
volume
2069
pages
3 pages
external identifiers
  • scopus:85121458671
DOI
10.1088/1742-6596/2069/1/012234
language
English
LU publication?
yes
id
bce1a2a8-6487-4165-881f-74f636f2f009
date added to LUP
2022-01-24 14:10:36
date last changed
2023-01-16 07:38:32
@inproceedings{bce1a2a8-6487-4165-881f-74f636f2f009,
  abstract     = {{Hazardous materials encountered during building renovation or demolition processes not only result in uncertainty in cost estimation and the lead time but also hampers material recyclability and reuse. Therefore, the paper discusses the possibility of predicting the extent of the hazardous materials, including asbestos, PCB, mercury, and CFC, through data mining techniques based on registered records. Pre-demolition audits contain observation data that can be used as a sample for statistical prediction through careful processing. By developing an innovative approach of merging data from environmental inventories with building registers, the positive ratio of remaining hazardous materials in the Gothenburg building stock can be estimated. The study highlights the challenges of creating a training dataset by completing information from the existing environmental inventory, providing new insight into digital protocol development for enhancing material circularity.}},
  author       = {{Wu, Pei-Yu and Mjörnell, Kristina and Mangold, Mikael and Sandels, Claes and Johansson, Tim}},
  booktitle    = {{Journal of Physics: Conference Series}},
  language     = {{eng}},
  title        = {{Tracing Hazardous Materials in Registered Records: A Case Study of Demolished and Renovated Buildings in Gothenburg}},
  url          = {{http://dx.doi.org/10.1088/1742-6596/2069/1/012234}},
  doi          = {{10.1088/1742-6596/2069/1/012234}},
  volume       = {{2069}},
  year         = {{2021}},
}