... and promoting sustainable development in construction. Design/methodology/approach The Kuznets curve model, multiple linear regression model, and data envelopment analysis (DEA) model are employed to process data sets spanning from 1992 to 2021 for examining the relationship between construction fatalities...

... and environment) and the variables (TEC 3, 4, 6, and ENV 3, 4, 5) identified by the SEM analysis were used as predictors. Both models were developed using artificial neural network (ANN) and multiple linear regression (MLR). ANN is regarded as the chief ML algorithm used in most studies, and it is known for its...

... construction statistics and literature reviews, six safety influential factors (SIFs) were selected to which a cost could be assigned. The costs associated with various levels were also determined for each SIF through literature reviews and expert interviews. A multiple linear regression (MLR) model...

... Secondary data set which includes 1,695 observations with 30 quantitative and four qualitative variables was utilized. Multiple linear regression was employed to define the relationship between explanatory variables and construction duration. General procedure for variable selection was presented in detail...

.... These can also help to compare deviations in significant contributory factors, and to suggest corrective actions. Multiple linear regression (MLR) and artificial neural networks (ANN) were applied in developing such quantitative models in a research project based in Hong Kong. A comparative study indicated...