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Barriers and Risks in BIM-Embedded Design Collaboration: A Two-Mode Social Network Analysis Read chapter Read first chapter

2022 | OriginalPaper | Chapter

Intelligent Construction Assessment for Construction Projects: Toward an Evaluation Framework

Authors : Hui Gao, Yujie Lu, Huicang Wu

Published in: Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Publisher: Springer Nature Singapore

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Abstract

Intelligent construction plays an important role in the transformation of the construction industry. It has greatly improved the productivity and quality of construction with the application of information technology and artificial intelligence. However, the developing level and evolving path of intelligent construction are unclear without the evaluation method of intelligent construction. Based on a systematic literature review and field research on intelligent construction projects, this paper establishes a hierarchical evaluation framework for intelligent construction projects. This framework evaluates the intelligent construction projects from 4 construction stages by 11 indicators. And the development of intelligent construction in project is divided to 5 levels, including initial level, mechanical level, informationized level, intelligent level, and smart level. The assessment of intelligent construction projects aims to help government grasp the intelligence level of construction from the macro level and promote the development of intelligent construction effectively.

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previous chapter Knowledge Graph-Based Construction Accidents Detection and Hazard Correction System
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Metadata
Title
Intelligent Construction Assessment for Construction Projects: Toward an Evaluation Framework
Authors
Hui Gao
Yujie Lu
Huicang Wu
Copyright Year
2022
Publisher
Springer Nature Singapore
Book
Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Print ISBN: 978-981-19-5255-5

Electronic ISBN: 978-981-19-5256-2

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-981-19-5256-2_65