book

Building Information Modeling for a Smart and Sustainable Urban Space

January 2022

Intermediate to advanced

192 pages

4h 19m

English

Read now

Unlock full access

General contextScientific contribution to this bookBook structureTarget audienceReferences
1.1. Introduction1.2. History of BIM1.3. BIM: A meta concept1.4. BIM: Between technology and process1.5. BIM in the lifecycle of a building1.6. Some transversal uses of BIM1.7. BIM dimensions and levels of detail1.8. BIM maturity and capability1.9. Conclusion1.10. References
2.1. Introduction2.2. Multiple sources for the 3D digitization of urban space2.3. Approaches for 3D data production2.4. Integration of multi-source data2.5. General discussion2.6. Conclusion2.7. References
3.1. Introduction3.2. Issues around 3D urban models3.3. Semantics of 3D urban models3.4. From the point cloud to the 3D model3.5. 3D reconstruction of the BIM model3.6. Conclusion3.7. References

4.1. Standardization bodies4.2. Data models for multi-scale BIM4.3. Conclusion4.4. References
5.1. Introduction5.2. The GeoBIM concept5.3. Some applications of GeoBIM5.4. BIM and GIS: similarities and differences5.5. BIM and GIS integration5.6. IFC and CityGML conversion5.7. BIM georeferencing5.8. Conclusion5.9. References
6.1. Introduction6.2. Real estate valuation: concepts, approaches and standards6.3. BIM and 3D GIS for real estate valuation6.4. BIM-3D GIS integration: a new paradigm for real estate valuation6.5. Examples of BIM and 3D GIS simulations for real estate valuation6.6. Conclusion6.7. References
7.1. Introduction7.2. From semantic segmentation to 3D modeling7.3. Semantic segmentation by Deep Learning7.4. Development of an urban 3D model7.5. Conclusion7.6. References
8.1. Introduction8.2. Urban space: problems and dysfunctions8.3. Urban renewal approaches8.4. BIM/CIM for urban renewal8.5. Renovation process8.6. Conclusion8.7. References