Honic, M., Ferschin, P., Breitfuß, D., Cencic, O., Gourlis, G., Kovacic, I., & De Wolf, C. (2023). Framework for the assessment of the existing building stock through BIM and GIS. Developments in the Built Environment, 13, Article 100110. https://doi.org/10.1016/j.dibe.2022.100110
E210-01 - Forschungsbereich Integrale Planung und Industriebau E259-01 - Forschungsbereich Digitale Architektur und Raumplanung E226-02 - Forschungsbereich Abfallwirtschaft und Ressourcenmanagement
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Journal:
Developments in the Built Environment
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ISSN:
2666-1659
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Date (published):
Mar-2023
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Number of Pages:
11
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Publisher:
ELSEVIER
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Peer reviewed:
Yes
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Keywords:
Building information modelling; Circular economy; Digital platform; Geographic information system; Reuse; Urban mining
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Abstract:
With 60% of the world's raw materials extraction, the construction sector is the largest consumer of raw materials. The consumption can be reduced through reuse and recycling of building materials which reached their end-of-life; however, there is lack of information on the building stock. This paper presents a bottom-up approach based on Building Information Modeling (BIM) and Geographic Information System (GIS) to assess material quantities. To test this approach, a real-world building is used. The material intensity is calculated based on existing planning documentations, on-site investigations, laser scanning and a BIM-model. The gross volumes (GVs) obtained from GIS enable the modelling and prediction of cities' building stocks. The results of this paper demonstrate the method of calculating material intensities and present how the applied method can be used to predict building stocks. The latter is presented as a framework which can support various cities in assessing their material stock.
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Project title:
Digitale Urban Mining Plattform: Analyse der materiellen Zusammensetzung von bestehenden Gebäuden durch Kopplung von BIM und GIS: 879401 (FFG - Österr. Forschungsförderungs- gesellschaft mbH)
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Research Areas:
Efficient Utilisation of Material Resources: 40% Modeling and Simulation: 60%