Asset Details
Do you wish to reserve the book?
Validation of a building material stock model using demolition record data
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Validation of a building material stock model using demolition record data
Do you wish to request the book?
Validation of a building material stock model using demolition record data
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Validation of a building material stock model using demolition record data
2025
Overview
Building material stock studies can help to implement circular economy measures by identifying future availability of secondary material and by comparing the environmental impact of different circularity measures. However, the accuracy of these models is often uncertain due to limitations in data quality, granularity, and assumptions made during model development. Validation of building material stock models with additional empirical data is rare. Here, we address this gap by comparing the material amounts on the single building level predicted by an archetype- and component-based building material stock model from a previous study for a number of individual demolished buildings with the amounts recorded in demolition data for the same buildings submitted to city authorities. Our results show a good agreement between the model and demolition data for the total amount and for mineral materials, but not for metals, insulation materials and wood. The findings highlight the importance of further work validating existing building material stock models and warrant caution when using predictions of material amounts for specific materials on individual building level.
Publisher
IOP Publishing
Subject
