Next Article in Journal
AHS Model: Efficient Topological Operators for a Sensor Web Publish/Subscribe System
Previous Article in Journal
A Spatio-Temporal Enhanced Metadata Model for Interdisciplinary Instant Point Observations in Smart Cities
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessReview
ISPRS Int. J. Geo-Inf. 2017, 6(2), 53; doi:10.3390/ijgi6020053

A State-of-the-Art Review on the Integration of Building Information Modeling (BIM) and Geographic Information System (GIS)

1
Australasian Joint Research Centre for Building Information Modelling, School of Built Environment, Curtin University, Bentley 6102, Western Australia, Australia
2
International Scholar, Department of Housing and Interior Design, Kyung Hee University, Seoul 02447, Korea
3
Research and Development, Curtin University, Bentley 6102, Western Australia, Australia
4
Department of Civil & Environmental Engineering, Hong Kong University of Science and Technology, Hong Kong, China
5
School of Construction Management and Real Estate, Chongqing University, Chongqing 400030, China
6
School of Construction Management, University of Florida, Gainesville, FL 32611, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 24 November 2016 / Revised: 3 February 2017 / Accepted: 15 February 2017 / Published: 20 February 2017
View Full-Text   |   Download PDF [1031 KB, uploaded 20 February 2017]   |  

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. View Full-Text
Keywords: Geographic Information System; Building Information Modeling; City Geography Markup Language; industry foundation classes; semantic web; Extract Transform Load Geographic Information System; Building Information Modeling; City Geography Markup Language; industry foundation classes; semantic web; Extract Transform Load
Figures

Figure 1

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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Liu, X.; Wang, X.; Wright, G.; Cheng, J.C.P.; Li, X.; Liu, R. A State-of-the-Art Review on the Integration of Building Information Modeling (BIM) and Geographic Information System (GIS). ISPRS Int. J. Geo-Inf. 2017, 6, 53.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top