Over the years, many attempts have been made to establish mathematical models reflecting the relationship between the thermal environment and construction labor productivity. Once established, the models were used to forecast the change in productivity due to thermal environment variations. The models, however, failed to accurately capture the complex nature of such a relationship for a number of reasons, including a consideration of the nature of the task being performed and the effect of all known variables of the thermal environment. This paper briefly describes and highlights the main shortcomings of three established thermal environment/productivity forecasting models. It introduces a fourth model, developed by the authors, where productivity can be predicted as a function of the PMV index. The paper then presents a comparative analysis between all four models with emphasis on their sensitivity to air temperature. Field data collected from different construction sites demonstrate that observed productivity data agree well with those predicted by the PMV-based model.
