Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 15 results ...

Altuwaim, A and El-Rayes, K (2018) Optimizing the Scheduling of Repetitive Construction to Minimize Interruption Cost. Journal of Construction Engineering and Management, 144(07).

Hasanzadeh, S, Esmaeili, B and Dodd, M D (2018) Examining the Relationship between Construction Workers’ Visual Attention and Situation Awareness under Fall and Tripping Hazard Conditions: Using Mobile Eye Tracking. Journal of Construction Engineering and Management, 144(07).

Hosseini, M R, Martek, I, Chileshe, N, Zavadskas, E K and Arashpour, M (2018) Assessing the Influence of Virtuality on the Effectiveness of Engineering Project Networks: “Big Five Theory” Perspective. Journal of Construction Engineering and Management, 144(07).

Hwang, S, Jebelli, H, Choi, B, Choi, M and Lee, S (2018) Measuring Workers’ Emotional State during Construction Tasks Using Wearable EEG. Journal of Construction Engineering and Management, 144(07).

Jordan Srour, F, Kiomjian, D and Srour, I M (2018) Automating the Use of Learning Curve Models in Construction Task Duration Estimates. Journal of Construction Engineering and Management, 144(07).

Karakhan, A A, Rajendran, S, Gambatese, J and Nnaji, C (2018) Measuring and Evaluating Safety Maturity of Construction Contractors: Multicriteria Decision-Making Approach. Journal of Construction Engineering and Management, 144(07).

Karimi, H, Taylor, T R B, Dadi, G B, Goodrum, P M and Srinivasan, C (2018) Impact of Skilled Labor Availability on Construction Project Cost Performance. Journal of Construction Engineering and Management, 144(07).

Konstantinou, E and Brilakis, I (2018) Matching Construction Workers across Views for Automated 3D Vision Tracking On-Site. Journal of Construction Engineering and Management, 144(07).

Lee, C Y, Chong, H and Wang, X (2018) Enhancing BIM Performance in EPC Projects through Integrative Trust-Based Functional Contracting Model. Journal of Construction Engineering and Management, 144(07).

Liu, J and Lu, M (2018) Constraint Programming Approach to Optimizing Project Schedules under Material Logistics and Crew Availability Constraints. Journal of Construction Engineering and Management, 144(07).

Masih-Tehrani, M and Ebrahimi-Nejad, S (2018) Hybrid Genetic Algorithm and Linear Programming for Bulldozer Emissions and Fuel-Consumption Management Using Continuously Variable Transmission. Journal of Construction Engineering and Management, 144(07).

Mirzaei, A, Nasirzadeh, F, Parchami Jalal, M and Zamani, Y (2018) 4D-BIM Dynamic Time–Space Conflict Detection and Quantification System for Building Construction Projects. Journal of Construction Engineering and Management, 144(07).

  • Type: Journal Article
  • Keywords: Construction projects; Dynamic conflict detection; Labor productivity; Workspace; Four-dimensional (4D); Building information modeling (BIM);
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001504
  • 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.

Sankaran, B and O’Brien, W J (2018) Impact of CIM Technologies and Agency Policies on Performance for Highway Infrastructure Projects. Journal of Construction Engineering and Management, 144(07).

Swei, O (2018) Long-Run Construction Cost Trends: Baumol’s Cost Disease and a Disaggregate Look at Building Material Price Dynamics. Journal of Construction Engineering and Management, 144(07).

Trinh, M T, Feng, Y and Jin, X (2018) Conceptual Model for Developing Resilient Safety Culture in the Construction Environment. Journal of Construction Engineering and Management, 144(07).