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Extending a BIM-based data model to support 3D digital management of complex ownership spaces

journal contribution
posted on 2024-11-02, 03:37 authored by Behnam Atazadeh, Mohsen Kalantari, Abbas Rajabifard, Serene Ho, Tom Champion
Currently, 2D-based analogue building subdivision plans are used to represent the spatial extent of private, public and communal property ownership rights. These plans are recognized as posing a range of challenges in terms of communicating the spatial complexity of ownership spaces within multi-storey buildings. In response to these challenges, three-dimensional (3D) digital data environments are being investigated as a potential approach for managing complex, vertically stratified ownership arrangements. The argument presented in this article is that Building Information Modelling (BIM) can be adopted for 3D digital management of data related to complex ownership spaces. BIM provides a common and 3D digital data sharing space, underpinning a reliable basis for facilitating collaboration and decision-making over the lifecycle of buildings. However, ownership attributes and the spatial structure of ownership arrangements inside buildings are yet to be accommodated within the BIM data environment. In this article, we present a range of required data elements for managing complex ownership spaces, which have been elicited by investigating current practices pertaining to subdivision of ownership spaces within multi-storey buildings in Melbourne, Australia. An open data model in the BIM domain is extended with these data elements and a prototype model for a real multi-storey building is implemented to demonstrate the viability of the extended data model for 3D digital management and visualization of data related to complex ownership arrangements.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1080/13658816.2016.1207775
  2. 2.
    ISSN - Is published in 13658816

Journal

International Journal of Geographical Information Science

Volume

31

Issue

3

Start page

499

End page

522

Total pages

24

Publisher

Taylor & Francis

Place published

United Kingdom

Language

English

Copyright

© 2016 Informa UK Limited, trading as Taylor & Francis Group.

Former Identifier

2006093780

Esploro creation date

2020-06-22

Fedora creation date

2019-09-06

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