by
Siamak Nilchian 1,
Javad Majrouhi Sardroud 1,*,
Mehrab Darabpour 2 and
Shahriar Tavousi Tafreshi 1
1 Department of Civil Engineering, Faculty of Civil & Earth Resources Engineering, Central Tehran Branch, Islamic Azad University, Tehran 1469669191, Iran
2 Department of Law, Shahid Beheshti University, Tehran 1983969411, Iran
* Author to whom correspondence should be addressed.
Academic Editor: Junbok Lee
Buildings 2022, 12(11), 1839; https://doi.org/10.3390/buildings12111839 (registering DOI)
Received: 18 September 2022 / Revised: 5 October 2022 / Accepted: 11 October 2022 / Published: 1 November 2022
(This article belongs to the Special Issue Advanced BIM Application in Construction and Buildings II)
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Abstract
Building information modeling (BIM) has improved efficiency in construction projects by utilizing digital instrument capabilities. However, the use of this technology has brought new challenges, particularly legal and contract issues. Conventional construction contracts cannot respond to specific BIM conditions. Therefore, several contract solutions have been proposed to tackle this problem. Despite significant efforts, researchers are still attempting to develop a suitable contract framework and conditions due to the complexities of BIM technical and legal aspects. The present study reviews the solutions developed within seven pioneer countries in BIM and collects the views of construction experts selected by the snowball sampling method in order to identify the most crucial factors that should be considered in BIM contracts. This work incorporated and analyzed 47 questions relating to BIM legal and contract factors in five groups, including BIM contractual basics, BIM contractual obligations and approvals, BIM ownership and copyright, general rules, and other contractual topics. The findings could be exploited to develop a proper BIM contract framework in compliance with construction rules and conditions. View Full-Text
Keywords: building information modeling; BIM; contract; construction industry; legal; snowball sampling