Abstract:  
           
          Preliminary cost estimates rely on the conceptual design of 
          the project and use only basic design technologies. Although 
          they present the lowest expected accuracy, they are often used 
          by key people involved in the construction process, thus playing 
          a significant role. Bridge construction has increased over the last 
          years, often exhibiting substantial overruns above estimated costs. 
          To overcome this problem, it is crucial for the decision makers to have 
          an early estimate of the final cost based on previous experience. This 
          paper addresses the need for easy-to-use and reliable cost estimates 
          during the early stages of projects for bridge superstructures, 
          presenting a major impact on the total bridge construction cost. 
          It proposes a conceptual cost estimate method that involves the 
          estimation of both the material quantities and the relevant costs. 
          It describes the development of prediction models for the material 
          quantities of concrete and reinforcing and prestressing steel for three 
          major bridge deck construction methods using regression analysis, 
          while a bootstrap resampling method is used to produce estimate 
          ranges. The material estimating models rely on the development of a 
          database after collecting actual data from a large sample of modern 
          bridges. The major assumptions underlying the correct application of 
          the regression methodology were tested, and necessary adjustments 
          were made. The proposed conceptual cost-estimating methodology 
          uses information known before detailed plans are developed to 
          provide fast and reliable results that can be very useful in the early 
          stages of a road project. 
          Keywords: 
             
            Construction costs; Bridges; 
            Estimation; Regression 
            analysis; Bootstrap 
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