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dc.contributor.authorSong, Yongze
dc.contributor.authorWang, Xiangyu
dc.contributor.authorTan, Yi
dc.contributor.authorWu, Peng
dc.contributor.authorSutrisna, Monty
dc.contributor.authorCheng, Jack CP
dc.contributor.authorHampson, Keith
dc.date.accessioned2021-04-22T22:58:35Z
dc.date.available2021-04-22T22:58:35Z
dc.date.issued2017
dc.identifier.issn2220-9964en_US
dc.identifier.doi10.3390/ijgi6120397en_US
dc.identifier.urihttp://hdl.handle.net/10072/403912
dc.description.abstractThe 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.en_US
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.publisherMDPIen_US
dc.relation.ispartofissue12en_US
dc.relation.ispartofjournalISPRS International Journal of Geo-Informationen_US
dc.relation.ispartofvolume6en_US
dc.subject.fieldofresearchPhysical Geography and Environmental Geoscienceen_US
dc.subject.fieldofresearchGeomatic Engineeringen_US
dc.subject.fieldofresearchcode0406en_US
dc.subject.fieldofresearchcode0909en_US
dc.subject.keywordsScience & Technologyen_US
dc.subject.keywordsPhysical Sciencesen_US
dc.subject.keywordsComputer Science, Information Systemsen_US
dc.titleTrends and Opportunities of BIM-GIS Integration in the Architecture, Engineering and Construction Industry: A Review from a Spatio-Temporal Statistical Perspectiveen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationSong, 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)en_US
dcterms.licensehttps://creativecommons.org/licenses/by/4.0/en_US
dc.date.updated2021-04-22T05:49:01Z
dc.description.versionVersion of Record (VoR)en_US
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.en_US
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gro.griffith.authorHampson, Keith


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