Prediction of Dust Abatement Costs in Construction Demolition Projects

Dust pollution arising out of building demolition has serious health implications on workers, as well the neighboring communities. Existing research shown that regulatory and engineering control methods are most popular for dust sites. Though effective in suppressing pollution, they have enormous cost companies. Therefore, accurate prediction treatment costs is an important element planning process. However, very little information available existing about costs. In addition, there not been any attempt to develop a model which can accurately predict during demolition. To overcome this knowledge gap, grey built according obtained from twenty previous projects. The historical trend project combined establish based GM (1, 1), be used obtain with high accuracy. further improve accuracy, paper also builds Single Function Residual Identifiability (SFRI) model. relative error between actual predicted 2013 2021 ranges 0.003% 0.077%. Through detailed assessment various measures using case study, it was found results by close incurred, verifies accuracy proposed