A state-of-the-art review on the integration of Building Information Modeling (BIM) and Geographic Information System (GIS)
The integration of Building Information Modeling (BIM) and Geographic Information System (GIS) has been identified as a promising but challenging topic to transform information towards the generation of knowledge and intelligence. Achievement of integrating these two concepts and enabling technologi...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Published: |
MDPI
2017
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| Online Access: | http://purl.org/au-research/grants/arc/LP140100873 http://hdl.handle.net/20.500.11937/51826 |
| _version_ | 1848758780805775360 |
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| author | Liu, Xin Wang, Xiangyu Wright, Graeme Cheng, J. Li, X. Liu, R. |
| author_facet | Liu, Xin Wang, Xiangyu Wright, Graeme Cheng, J. Li, X. Liu, R. |
| author_sort | Liu, Xin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The integration of Building Information Modeling (BIM) and Geographic Information System (GIS) has been identified as a promising but challenging topic to transform information towards the generation of knowledge and intelligence. Achievement of integrating these two concepts and enabling technologies will have a significant impact on solving problems in the civil, building and infrastructure sectors. However, since GIS and BIM were originally developed for different purposes, numerous challenges are being encountered for the integration. To better understand these two different domains, this paper reviews the development and dissimilarities of GIS and BIM, the existing integration methods, and investigates their potential in various applications. This study shows that the integration methods are developed for various reasons and aim to solve different problems. The parameters influencing the choice can be summarized and named as "EEEF" criteria: effectiveness, extensibility, effort, and flexibility. Compared with other methods, semantic web technologies provide a promising and generalized integration solution. However, the biggest challenges of this method are the large efforts required at early stage and the isolated development of ontologies within one particular domain. The isolation problem also applies to other methods. Therefore, openness is the key of the success of BIM and GIS integration. |
| first_indexed | 2025-11-14T09:49:26Z |
| format | Journal Article |
| id | curtin-20.500.11937-51826 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:49:26Z |
| publishDate | 2017 |
| publisher | MDPI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-518262022-11-23T07:35:12Z A state-of-the-art review on the integration of Building Information Modeling (BIM) and Geographic Information System (GIS) Liu, Xin Wang, Xiangyu Wright, Graeme Cheng, J. Li, X. Liu, R. The integration of Building Information Modeling (BIM) and Geographic Information System (GIS) has been identified as a promising but challenging topic to transform information towards the generation of knowledge and intelligence. Achievement of integrating these two concepts and enabling technologies will have a significant impact on solving problems in the civil, building and infrastructure sectors. However, since GIS and BIM were originally developed for different purposes, numerous challenges are being encountered for the integration. To better understand these two different domains, this paper reviews the development and dissimilarities of GIS and BIM, the existing integration methods, and investigates their potential in various applications. This study shows that the integration methods are developed for various reasons and aim to solve different problems. The parameters influencing the choice can be summarized and named as "EEEF" criteria: effectiveness, extensibility, effort, and flexibility. Compared with other methods, semantic web technologies provide a promising and generalized integration solution. However, the biggest challenges of this method are the large efforts required at early stage and the isolated development of ontologies within one particular domain. The isolation problem also applies to other methods. Therefore, openness is the key of the success of BIM and GIS integration. 2017 Journal Article http://hdl.handle.net/20.500.11937/51826 10.3390/ijgi6020053 http://purl.org/au-research/grants/arc/LP140100873 http://creativecommons.org/licenses/by/4.0/ MDPI fulltext |
| spellingShingle | Liu, Xin Wang, Xiangyu Wright, Graeme Cheng, J. Li, X. Liu, R. A state-of-the-art review on the integration of Building Information Modeling (BIM) and Geographic Information System (GIS) |
| title | A state-of-the-art review on the integration of Building Information Modeling (BIM) and Geographic Information System (GIS) |
| title_full | A state-of-the-art review on the integration of Building Information Modeling (BIM) and Geographic Information System (GIS) |
| title_fullStr | A state-of-the-art review on the integration of Building Information Modeling (BIM) and Geographic Information System (GIS) |
| title_full_unstemmed | A state-of-the-art review on the integration of Building Information Modeling (BIM) and Geographic Information System (GIS) |
| title_short | A state-of-the-art review on the integration of Building Information Modeling (BIM) and Geographic Information System (GIS) |
| title_sort | state-of-the-art review on the integration of building information modeling (bim) and geographic information system (gis) |
| url | http://purl.org/au-research/grants/arc/LP140100873 http://hdl.handle.net/20.500.11937/51826 |