Science Mapping of BIM-Based Automated Compliance Checking Studies: A Bibliometric Approach

Shengqu Xu, Zhikun Ding (), Xinping Wen, Zhan Wang and Zhiyu Zhang
Additional contact information
Shengqu Xu: Shenzhen University
Zhikun Ding: Shenzhen University
Xinping Wen: Shenzhen University
Zhan Wang: Shenzhen University
Zhiyu Zhang: Shenzhen University

A chapter in Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, 2022, pp 96-108 from Springer

Abstract: Abstract The traditional check of architectural design and building codes is based on the two-dimensional CAD drawing, which has the problems of diversified scale, labor-intensive, and low efficiency. Therefore, how to achieve automated compliance checking (ACC) has been a hotspot drawing more attention. However, a comprehensive literature review introducing the status quo of BIM- based ACC has yet to be conducted. To fill this gap, this paper aims to conduct a review based on the 359 related academic papers collected from “Web of science”. Based on science map software i.e. Citespace, insights are provided from the perspectives of co-citation analysis, co-occurrence analysis and cluster analysis. The results show that in the past 20 years, besides an increasing amount of paper published in this field, key research directions such as environmental assessment, construction safety, and data exchange are extremely important for the development of building information modeling (BIM) ACC research. Ontology and natural language processing (NLP) technology are the research hotspots and deserve more future research endeavors. These findings help to summarize the evolution of ACC and provide valuable theoretical and practical references for future research.

Keywords: BIM; Automated compliance checking; Ontology; Natural Language Processing; Bibliometric analysis (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-19-5256-2_9

Ordering information: This item can be ordered from
http://www.springer.com/9789811952562

DOI: 10.1007/978-981-19-5256-2_9

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().