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- W3154520847 abstract "Increasing the volume of labour is an approach taken by contractors to accelerate the workflow in construction projects. However, this will lead to congestion as a major contributing factor that can affect labour productivity and significantly impact the construction process. Various studies have analyzed the effects of congestion on labour productivity; however, they fail to quantify the impacts of congestion on labour productivity. Therefore, this paper applies the Agent-Based Modelling (ABM) as an effective tool for predicting the effects of congestion on labour productivity in construction projects. A Java-based application is developed as an implementation of the proposed model. Based on a real case study, the paper discusses the potential benefits of the model, e.g., accurately predicting labour productivity, providing opportunity for workspace allocation, and simulating project reality in a virtual model. The simulation results demonstrate a 30% decrease in productivity due to congestion. The results confirm that the impacts of congestion on labour productivity at a construction site can be predicted as an emergent property from the interaction between workers, tasks, and their environment, i.e., a construction site, as well as the dynamics of varying productivity." @default.
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- W3154520847 date "2021-04-15" @default.
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- W3154520847 title "Predicting the effects of congestion on labour productivity in construction projects using agent-based modelling" @default.
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- W3154520847 doi "https://doi.org/10.1080/15623599.2021.1901330" @default.
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