Technical Papers
Apr 30, 2018

4D-BIM Dynamic Time–Space Conflict Detection and Quantification System for Building Construction Projects

Publication: Journal of Construction Engineering and Management
Volume 144, Issue 7

Abstract

Workspace in construction projects is considered a resource and a constraint that needs to be addressed in project scheduling. Without proper workspace planning, time–space conflicts frequently may occur at construction sites. In this study, a novel four-dimensional building information modeling (4D-BIM) dynamic conflict detection and quantification system was developed to identify time–space conflicts and quantify their impacts on project performance. Using the proposed approach, the conflict between different activities workspaces was identified considering the labor crew movement in the assigned workspace during different time intervals. For this purpose, four distinct execution patterns were defined, which in combination with four starting positions, led to 16 execution alternatives. The conflict’s severity was then calculated through the quantitative assessment of its effects on labor productivity. To evaluate the performance of the proposed approach, it was implemented on a building project. The time–space conflicts were detected and quantified using the proposed approach. Finally, a what-if analysis was performed to select the optimum execution scenario with the minimum number of time–space conflicts. Using the proposed approach, conflict detection can be performed more accurately, and a more precise value for conflict severity is achieved.

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Data Availability Statement

Data generated or analyzed during the study are available from the corresponding author by request. Information about the Journal’s data sharing policy can be found here: http://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001263.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 144Issue 7July 2018

History

Received: Aug 15, 2017
Accepted: Dec 18, 2017
Published online: Apr 30, 2018
Published in print: Jul 1, 2018
Discussion open until: Sep 30, 2018

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Authors

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Ali Mirzaei [email protected]
Dept. of Project and Construction Management, Faculty of Architecture, College of Fine Arts, Univ. of Tehran, P.O. BOX 14395-515, 16 Azar St., Enghelab Square, 1417466191 Tehran, Iran. Email: [email protected]
Farnad Nasirzadeh [email protected]
Senior Lecturer, School of Architecture and Built Environment, Deakin Univ., Geelong, VIC 3220, Australia. Email: [email protected]
Majid Parchami Jalal [email protected]
Assistant Professor, Dept. of Project and Construction Management, Faculty of Architecture, College of Fine Arts, Univ. of Tehran, P.O. BOX 14395-515, 16 Azar St., Enghelab Square, 1417466191 Tehran, Iran (corresponding author). Email: [email protected]
Yasin Zamani [email protected]
Ph.D. Candidate, Dept. of Artificial Intelligence, Faculty of Computer Engineering, Sharif Univ., P.O. Box: 11155-9517, Azadi Ave., 1458889694 Tehran, Iran. Email: [email protected]

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