Stakeholders’ impact on the reuse potential of structural elements at the end-of-life of a building: a machine learning approach

The construction industry, and at its core the building sector, is the largest consumer of non-renewable resources, which produces the highest amount of waste and greenhouse gas emissions worldwide. Since most of the embodied energy and CO2 emissions during the construction and demolition phases of...

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Bibliographic Details
Main Authors: Kami Rakhshanbabanari, Alireza Daneshkhah, Jean-Claude Morel
Format: Default Article
Published: 2023
Subjects:
Architecture
Building
Civil engineering
Bayesian network
Building structural elements
Experts' elicitation
Social reusability
Supervised machine learning techniques
Online Access:https://hdl.handle.net/2134/25215629.v1
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https://hdl.handle.net/2134/25215629.v1

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