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BIM and Urban Land Administration: The History of Signal Processing and How We Communicate [Kõva köide]

, (The University of Melbourne), (University of Melbourne)
  • Formaat: Hardback, 236 pages, kõrgus x laius: 234x156 mm, kaal: 550 g, 30 Tables, black and white; 74 Illustrations, color
  • Ilmumisaeg: 24-Jun-2019
  • Kirjastus: CRC Press
  • ISBN-10: 1138491683
  • ISBN-13: 9781138491687
Teised raamatud teemal:
BIM and Urban Land Administration: The History of Signal Processing and How We CommunicateSuurem pilt
  • Formaat: Hardback, 236 pages, kõrgus x laius: 234x156 mm, kaal: 550 g, 30 Tables, black and white; 74 Illustrations, color
  • Ilmumisaeg: 24-Jun-2019
  • Kirjastus: CRC Press
  • ISBN-10: 1138491683
  • ISBN-13: 9781138491687
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781138491687.html
Märksõnad:
Rapid urbanization has created an unprecedented pressure on the use of land in cities around the world, resulting in physical and legal complexities. This book explains the theoretical basis and practicality of connecting urban land administration practices with the 3D digital data environment of Building Information Modelling (BIM). The main focus is to adopt a BIM-based paradigm for enhancing communication and management of complex ownership rights in multi-story buildings, which are prevalent in urban built environments. This book first elaborates on a range of data elements required for managing legal information in current land administration practices pertaining to subdivision of legal interests within multi-story building developments. It then explains how an open data model in the BIM domain Industry Foundation Classes (IFC) can be extended with legal data elements to lay the foundation for adopting BIM in urban land administration. The book also highlights benefits and barriers of implementing BIM-enabled urban land administration.

Features











Explains the theoretical basis and practicality of connecting urban land administration practices with the 3D digital data environment of BIM.





Highlights the existing challenges associated with current practice of urban land administration for multi-story buildings.





Introduces the potential of 3D digital environment of BIM for the purpose of mapping and registering legal interests.





Describes how BIM-based data models can be extended for recording, managing, and representing legal ownership of properties over a building's lifecycle.





Includes models of multi-story buildings as case studies to demonstrate the feasibility of extended BIM-based data models.
List of Figures
xi
List of Tables
xvii
Preface xix
Acknowledgments xxiii
Authors xxv
Introduction xxvii
1 Managing Legal and Physical Complexities of Urban Environments
1(24)
1.1 Land Administration Systems and Urban Complexity
1(1)
1.2 Legal Partitioning of Multi-Story Buildings: 2D-Based Approaches
2(8)
1.3 3D Digital Models
10(2)
1.4 3D Legal Models of Buildings
12(2)
1.5 3D Physical Models of Buildings
14(2)
1.6 Building Information Models
16(1)
1.7 Current Benefits and Challenges of BIM in the AEC Industry
17(2)
1.8 Potential of BIM for Urban Land Administration
19(2)
References
21(4)
2 Urban Land Administration---A Digital Paradigm
25(56)
2.1 Introduction
25(1)
2.2 Urban Land Administration---An International Context
26(9)
2.2.1 Canada
27(1)
2.2.2 Malaysia
28(2)
2.2.3 The Netherlands
30(3)
2.2.4 Sweden
33(2)
2.2.5 Australia
35(1)
2.3 Urban Land Administration in Victoria, Australia
35(12)
2.3.1 Planning Phase
36(2)
2.3.2 Certification Phase
38(4)
2.3.3 Compliance Phase
42(1)
2.3.4 Registration Phase
43(4)
2.4 Data Requirements in Urban Land Administration
47(1)
2.4.1 Legal Objects
48(1)
2.4.1.1 Primary Legal Interests
48(4)
2.4.1.2 Secondary Legal Interests
52(2)
2.4.1.3 Legal Boundaries
54(7)
2.4.2 Physical Objects
58(1)
2.4.3 Legal Documents
58(1)
2.4.4 Land Administration Actors
59(1)
2.4.5 Administrative Data
59(2)
2.5 Data Models Enabling Digital Urban Land Administration
61(15)
2.5.1 LADM
61(4)
2.5.2 ePlan Model
65(2)
2.5.3 Land and Infrastructure (LandInfra) Model
67(2)
2.5.4 CityGML Standard
69(7)
2.6 Concluding Remarks
76(1)
References
76(5)
3 Fundamentals of the BIM Environment---Opportunities for Land Administration
81(46)
3.1 Introduction
81(1)
3.2 BIM
82(6)
3.2.1 BIM---Process and Product Perspectives
84(1)
3.2.2 BIM Maturity Levels
85(2)
3.2.3 Multi-Dimensional BIM (4D, 5D, and 6D)
87(1)
3.3 Open BIM
88(6)
3.3.1 IDM
89(1)
3.3.2 MVD
90(2)
3.3.3 IFD
92(1)
3.3.4 BCF
93(1)
3.4 IFC Standard
94(7)
3.4.1 Resource Layer of IFC
95(1)
3.4.2 Core Layer of IFC
96(2)
3.4.3 Interoperability Layer of IFC
98(1)
3.4.4 Domain Layer of IFC
98(1)
3.4.5 Object Placements and Spatial Reference Systems within the IFC Standard
99(2)
3.4.6 Solid Models within the IFC Standard
101(1)
3.4.6.1 Constructive Solid Geometry (CSG)
101(1)
3.4.6.2 Boundary Representation (B-rep)
101(1)
3.4.6.3 Swept Solid
102(3)
3.4.7 IFC Standard and Other 3D Spatial Data Models
102(2)
3.4.8 IFC Entities Pertinent to Urban Land Administration
104(1)
3.4.8.1 Spatial Elements
105(1)
3.4.8.2 Physical Elements
105(1)
3.4.8.3 Document Referencing Elements
105(2)
3.4.8.4 Actor Assignment Elements
107(1)
3.5 BIM Projects in Land Administration
107(12)
3.5.1 IFC for an Indoor Cadaster
108(1)
3.5.2 IFC for Property Valuation
109(1)
3.5.3 Cadastral Extension of UBM
110(1)
3.5.4 UrbanIT Project
111(2)
3.5.5 BIM-Based Registration of Stratified Properties in the Netherlands
113(1)
3.5.6 Connecting BIM and Legal Data Models
114(1)
3.5.6.1 IFC and LADM
114(3)
3.5.6.2 BIM and the ePlan Model
117(1)
3.5.6.3 BIM and LandInfra
118(1)
3.5.7 IDM-Based Workflow for Cadastral Registration
118(1)
3.5.8 As-Built BIM Models for Underground Property Management
118(1)
3.6 Concluding Remarks
119(1)
References
120(7)
4 BIM-Enabled 3D Digital Urban Land Administration---New Era in Managing Cities
127(36)
4.1 Introduction
127(1)
4.2 Alternatives for Extending IFC for Urban Land Administration
128(1)
4.3 Adopted Extension Approach for Enabling IFC-Based Urban Land Administration
129(2)
4.3.1 Property Set Definitions in IFC
129(2)
4.3.2 User-Defined Values in IFC
131(1)
4.4 Modeling Legal Interests in IFC
131(12)
4.4.1 Primary Legal Interests in IFC
133(1)
4.4.1.1 Lot
133(2)
4.4.1.2 Common Property
135(1)
4.4.1.3 Road
136(2)
4.4.1.4 Reserve
138(1)
4.4.2 Secondary Legal Interests in IFC
138(1)
4.4.2.1 Easement
138(1)
4.4.2.2 Restriction
139(2)
4.4.2.3 Depth Limitation and Airspace
141(2)
4.5 Modeling Legal Boundaries in IFC
143(9)
4.5.1 Modeling the Geometry and Topology of Legal Boundaries in IFC (4)
143(1)
4.5.1.1 Line-Based Legal Boundaries
144(2)
4.5.1.2 Surface-Based Legal Boundaries
146(2)
4.5.2 Semantic Modeling of Legal Boundaries in IFC
148(1)
4.5.2.1 General Boundaries in IFC
148(3)
4.5.2.2 Fixed Boundaries in IFC
151(1)
4.6 Modeling Land Administration Actors in IFC
152(2)
4.7 Referencing and Managing Legal Documents in IFC
154(3)
4.8 Administrative Information
157(2)
4.9 General Guidelines for Realizing BIM-Driven Digital Urban Land Administration
159(1)
4.10 Concluding Remarks
159(3)
Reference
162(1)
5 Implementing BIM Models---From Simple to Complex Urban Developments
163(26)
5.1 Introduction
163(1)
5.2 Constructing BIM Models
164(1)
5.3 Constructing BIM Models from 3D Surveying Data
164(10)
5.3.1 BIM Models from Laser-Scanning Data
168(1)
5.3.2 BIM Models from UAV Data
169(1)
5.3.2.1 Image to BIM Alignment
170(1)
5.3.2.2 Point Cloud to BIM Alignment
171(1)
5.3.3 UAV Localization
171(1)
5.3.4 BIM Models from LiDAR, Photogrammetry, and 2D Floorplans
172(2)
5.4 Enriching the BIM Models for Urban Land Administration
174(1)
5.5 Visualization of BIM Models
175(11)
5.5.1 Primary Legal Interests
175(3)
5.5.2 Secondary Legal Interests
178(1)
5.5.3 Legal Boundaries
179(4)
5.5.4 Legal Documents and Land Administration Actors
183(2)
5.5.5 Administrative Information
185(1)
5.6 Concluding Remarks
186(1)
References
186(3)
6 Impacts of BIM on Urban Land Administration
189(18)
6.1 Introduction
189(1)
6.2 Benefits of BIM for Urban Land Administration Practices
190(9)
6.2.1 Legal Interests
191(4)
6.2.2 Legal Boundaries
195(4)
6.3 Challenges of BIM-Based Urban Land Administration
199(5)
6.3.1 Technical Challenges
199(1)
6.3.2 Institutional Challenges
199(1)
6.3.2.1 Regulative Elements as Constraints
200(1)
6.3.2.2 Normative Elements as Constraints
201(2)
6.3.2.3 Cultural---Cognitive Elements as Constraints
203(1)
6.4 Concluding Remarks
204(1)
References
205(2)
7 Prospect of BIM in the Land Administration Domain---Technical Aspects
207(14)
7.1 Introduction
207(1)
7.2 Integrated Lifecycle Management of Urban Land Administration Processes in BIM
207(2)
7.3 BIM-Enabled Urban Land Administration in Infrastructure Projects
209(2)
7.4 Spatial Reasoning of BIM Models
211(4)
7.5 Spatial Integrity of BIM Models
215(1)
7.6 Extending the IFC Standard to Other Jurisdictions
216(2)
7.7 BIM for Property Measurement in Urban Land
218(1)
7.8 Automatic Generalization of BIM Models for Land Administration Purposes
219(1)
References
220(1)
Appendix A EXPRESS-G Notation 221(4)
Appendix B Business Process Modeling Notation (BPMN) 225(2)
Index 227
Prof Abbas Rajabifard is Head of Department of Infrastructure Engineering at The University of Melbourne. He is also Director of the Centre for Spatial Data Infrastructures & Land Administration (CSDILA).Prof Rajabifard is a member of Academic Board. He was President of the GSDI Association (2009-2012), Vice Chair of Working Group 3 of the United Nations supported Permanent Committee on GIS Infrastructure for Asia and the Pacific (PCGIAP), is a member of ICA-Spatial Data Standard Commission, and is a member of Victorian Spatial Council. He has been an Executive Board member and national representative to the PCGIAP (1994-1998), member of International Steering Committee for Global Mapping Project (1997-2001) and a member of the UN-ESCAP Group of Experts to develop Guidelines on GIS Standardisation for Asia-Pacific (1995). Prof Rajabifard has active research in the areas of SDI, Land Administration and land management, spatial enablement, spatial enabled government and societies, disaster management, 3D platforms and virtual jurisdictions.

Dr. Mohsen Kalantari is a Senior Lecturer in Geomatics and Associate Director at the Centre for Spatial Data Infrastructures and Land Administration (CSDILA) in the Dept of Infrastructure Engineering at The University of Melbourne. Mohsen teaches Land Administration Systems (LAS) and Spatial Analysis and has several publications. Dr Kalantari is a spatial data engineer and in recognition of his research he has been awarded a prestigious Victoria Fellowship. The Victoria Fellowships recognise young researchers with leadership potential and aim to help them enhance their future careers, while developing new ideas which could offer commercial benefit to Victoria. He has also worked at the Department of Sustainability and Environment (DSE), Land Victoria and has an extensive knowledge of land administration systems of Australia. He completed his PhD in 2008.

Dr. Behnam Atazadeh is a post-doctoral research fellow in the Centre for Spatial Data Infrastructures and Land Administration, Department of Infrastructure Engineering. He has extensive experience in using 3D building information models and other 3D digital technologies for cadastral surveying in urban areas. As part of his research, Behnam has published several articles in reputable scientific journals and conferences in the domain of spatial and urban informatics.