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ISPRS Int. J. Geo-Inf. 2018, 7(2), 66; https://doi.org/10.3390/ijgi7020066

A Critical Review of the Integration of Geographic Information System and Building Information Modelling at the Data Level

1
Joint Research Centre for Building Information Modelling, School of Built Environment, Curtin University, Bentley 6102, Australia
2
Faculty of Science and Engineering, Curtin University, Bentley 6102, Australia
3
School of Civil Engineering, Tongji University, Shanghai 200092, China
*
Author to whom correspondence should be addressed.
Received: 5 February 2018 / Revised: 5 February 2018 / Accepted: 18 February 2018 / Published: 20 February 2018
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Abstract

The benefits brought by the integration of Building Information Modelling (BIM) and Geographic Information Systems (GIS) are being proved by more and more research. The integration of the two systems is difficult for many reasons. Among them, data incompatibility is the most significant, as BIM and GIS data are created, managed, analyzed, stored, and visualized in different ways in terms of coordinate systems, scope of interest, and data structures. The objective of this paper is to review the relevant research papers to (1) identify the most relevant data models used in BIM/GIS integration and understand their advantages and disadvantages; (2) consider the possibility of other data models that are available for data level integration; and (3) provide direction on the future of BIM/GIS data integration. View Full-Text
Keywords: Building Information Modelling (BIM); Geographic Information System (GIS); integration; data interoperability Building Information Modelling (BIM); Geographic Information System (GIS); integration; data interoperability
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Zhu, J.; Wright, G.; Wang, J.; Wang, X. A Critical Review of the Integration of Geographic Information System and Building Information Modelling at the Data Level. ISPRS Int. J. Geo-Inf. 2018, 7, 66.

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