A state-of-the-art review on the integration of Building Information Modeling (BIM) and Geographic Information System (GIS)

Xin Liu, Xiangyu Wang, Graeme Wright, Jack C.P. Cheng, Xiao Li, Rui Liu

Research output: Journal article publicationReview articleAcademic researchpeer-review

155 Citations (Scopus)

Abstract

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.

Original languageEnglish
JournalISPRS International Journal of Geo-Information
Volume6
Issue number2
DOIs
Publication statusPublished - Feb 2017

Keywords

  • Building Information Modeling
  • City Geography Markup Language
  • Extract Transform Load
  • Geographic Information System
  • Industry foundation classes
  • Semantic web

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Computers in Earth Sciences
  • Earth and Planetary Sciences (miscellaneous)

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