Abstract: Construction productivity is a major research interest within the construction domain. Because construction is a labor-intensiveindustry, previous research has often focused on construction labor productivity (CLP). However, equipment is the main driver of productivityfor some construction activities, so-called equipment-intensive activities. Existing models of activity-level productivity often predict a single-factor productivity measure—namely CLP—yet determining multifactor productivity, including labor, material, and equipment, providesmore comprehensive predictions of productivity. Construction productivity models are often static in nature, or incapable of capturingthe subjective uncertainty of some factors influencing productivity. Fuzzy system dynamics is an appropriate technique for modeling con-struction productivity because it captures the dynamism of construction projects and addresses the subjective and probabilistic uncertainty offactors influencing productivity. The contributions of this paper are threefold: identifying the key factors influencing the productivity ofequipment-intensive activities, developing a predictive model of multifactor productivity for equipment-intensive activities using fuzzy sys-tem dynamics technique, and developing an approach to reduce uncertainty overestimation in the simulation results of fuzzy system dynamicsmodels.