Simulation-based framework for optimal construction equipment allocation considering construction noise emissions

Abstract

As construction noise has been a major environmental emission from the construction sites, construction equipment allocation should be planned to preemptively manage construction noise emissions while considering productivity. Therefore, this study aims to propose a simulation-based framework for determining optimal construction equipment allocation to manage construction noise and improve economic performance. The optimal construction equipment allocation in terms of direct cost and noise exposure was determined using a Web-based CYCLic Operation NEtwork (WebCYCLONE) and exhaustive search technique. The feasibility of the proposed framework was validated through a case study of a real project. The proposed framework could predict direct costs and noise emissions of the construction process within the allowable error. Based on the simulation-based prediction, the optimal allocation in terms of direct cost and noise exposure level reduces USD 2,186.65 (24.6%) out of USD 8,873.84 in the direct cost or 4.4 dB (5.0%) out of 88.59 dB in noise exposure level of residents. Moreover, the optimal allocation in terms of direct cost and compensation cost reduces USD 881.45 (0.6%) out of USD 154,316.63 in the overall costs. Finally, the proposed framework could help construction managers establish a plan to improve the economic and environmental performances in the planning stage.