| Title |
Framework for the assessment of the existing building stock through BIM and GIS |
| ID_Doc |
26963 |
| Authors |
Honic, M; Ferschin, P; Breitfuss, D; Cencic, O; Gourlis, G; Kovacic, I; De Wolf, C |
| Title |
Framework for the assessment of the existing building stock through BIM and GIS |
| Year |
2023 |
| Published |
|
| DOI |
10.1016/j.dibe.2022.100110 |
| 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. |
| Author Keywords |
Urban mining; Building information modelling; Geographic information system; Circular economy; Digital platform; Reuse |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001020842700001 |
| WoS Category |
Construction & Building Technology; Engineering, Civil |
| Research Area |
Construction & Building Technology; Engineering |
| PDF |
https://doi.org/10.1016/j.dibe.2022.100110
|