dc.contributor.author | Song, Yongze | |
dc.contributor.author | Wang, Xiangyu | |
dc.contributor.author | Tan, Yi | |
dc.contributor.author | Wu, Peng | |
dc.contributor.author | Sutrisna, Monty | |
dc.contributor.author | Cheng, Jack CP | |
dc.contributor.author | Hampson, Keith | |
dc.date.accessioned | 2021-04-22T22:58:35Z | |
dc.date.available | 2021-04-22T22:58:35Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 2220-9964 | |
dc.identifier.doi | 10.3390/ijgi6120397 | |
dc.identifier.uri | http://hdl.handle.net/10072/403912 | |
dc.description.abstract | The integration of building information modelling (BIM) and geographic information system (GIS) in construction management is a new and fast developing trend in recent years, from research to industrial practice. BIM has advantages on rich geometric and semantic information through the building life cycle, while GIS is a broad field covering geovisualization-based decision making and geospatial modelling. However, most current studies of BIM-GIS integration focus on the integration techniques but lack theories and methods for further data analysis and mathematic modelling. This paper reviews the applications and discusses future trends of BIM-GIS integration in the architecture, engineering and construction (AEC) industry based on the studies of 96 high-quality research articles from a spatio-temporal statistical perspective. The analysis of these applications helps reveal the evolution progress of BIM-GIS integration. Results show that the utilization of BIM-GIS integration in the AEC industry requires systematic theories beyond integration technologies and deep applications of mathematical modeling methods, including spatio-temporal statistical modeling in GIS and 4D/nD BIM simulation and management. Opportunities of BIM-GIS integration are outlined as three hypotheses in the AEC industry for future research on the in-depth integration of BIM and GIS. BIM-GIS integration hypotheses enable more comprehensive applications through the life cycle of AEC projects. | |
dc.description.peerreviewed | Yes | |
dc.language | English | |
dc.publisher | MDPI | |
dc.relation.ispartofissue | 12 | |
dc.relation.ispartofjournal | ISPRS International Journal of Geo-Information | |
dc.relation.ispartofvolume | 6 | |
dc.subject.fieldofresearch | Physical geography and environmental geoscience | |
dc.subject.fieldofresearch | Geomatic engineering | |
dc.subject.fieldofresearchcode | 3709 | |
dc.subject.fieldofresearchcode | 4013 | |
dc.subject.keywords | Science & Technology | |
dc.subject.keywords | Physical Sciences | |
dc.subject.keywords | Computer Science, Information Systems | |
dc.title | Trends and Opportunities of BIM-GIS Integration in the Architecture, Engineering and Construction Industry: A Review from a Spatio-Temporal Statistical Perspective | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dcterms.bibliographicCitation | Song, Y; Wang, X; Tan, Y; Wu, P; Sutrisna, M; Cheng, JCP; Hampson, K, Trends and Opportunities of BIM-GIS Integration in the Architecture, Engineering and Construction Industry: A Review from a Spatio-Temporal Statistical Perspective, ISPRS International Journal of Geo-Information, 2017, 6 (12) | |
dcterms.license | https://creativecommons.org/licenses/by/4.0/ | |
dc.date.updated | 2021-04-22T05:49:01Z | |
dc.description.version | Version of Record (VoR) | |
gro.rights.copyright | © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | |
gro.hasfulltext | Full Text | |
gro.griffith.author | Hampson, Keith | |