Construction noise prediction model based on case-based reasoning in the preconstruction phase

Construction activities are associated with various noise-related issues, including health problems, cost overruns, and schedule delays. These issues could be averted by conducting comprehensive noise assessment and prediction during the preconstruction phase. Conventional approaches are inadequate because they focus on passive and defensive noise management initiated ex post facto. This paper presents a model that uses case-based reasoning to predict noise in the preconstruction phase. The model was validated by comparing the output of test cases and previous cases. The results show the output of the retrieved cases to be close to that of the test case, with correlation coefficient analysis indicating a high correlation between the actual and predicted outcomes. The model suggests practical alternatives to improve current noise management and converts the paradigm of construction noise management from ex post facto measures to preventive measures in the preconstruction phase.