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Abuwarda, Z and Hegazy, T (2016) Flexible Activity Relations to Support Optimum Schedule Acceleration. Journal of Construction Engineering and Management, 142(11).

Bayram, S and Al-Jibouri, S (2016) Efficacy of Estimation Methods in Forecasting Building Projects’ Costs. Journal of Construction Engineering and Management, 142(11).

Brockmann, C, Brezinski, H and Erbe, A (2016) Innovation in Construction Megaprojects. Journal of Construction Engineering and Management, 142(11).

Carretero-Ayuso, M J, García-Sanz-Calcedo, J and Reyes-Rodríguez, A M (2016) Qualitative and Quantitative Analyses on Project Deficiencies in Flat-Roof Design in Extremadura, Spain. Journal of Construction Engineering and Management, 142(11).

Chancellor, W and Lu, W (2016) A Regional and Provincial Productivity Analysis of the Chinese Construction Industry: 1995 to 2012. Journal of Construction Engineering and Management, 142(11).

Gardner, B J, Gransberg, D D and Jeong, H D (2016) Reducing Data-Collection Efforts for Conceptual Cost Estimating at a Highway Agency. Journal of Construction Engineering and Management, 142(11).

  • Type: Journal Article
  • Keywords: Conceptual cost estimating; Highway infrastructure; Artificial neural networks; Multiple-regression analysis; Cost and schedule;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001174
  • Abstract:
    Data-driven models using historical project attributes to estimate future construction costs, such as multiple-regression analysis and artificial neural networks are both proven techniques that highway agencies could adopt for conceptual cost estimating. This research found literature using those techniques has been solely focused on estimating model performance with little to no attention to the level of effort required to conduct the conceptual estimate. It is commonly believed using more input data enhances estimate accuracy. However, this paper finds for the highway agency studied that using more input variables than necessary in the conceptual estimate does not improve estimate accuracy. Conceptual estimates using the minimum amount of input data to produce an estimate with a reasonable level of confidence is more cost effective. This paper quantifies the effort expended to undertake conceptual estimates using data from a highway agency and concludes that input variables that have a large influence on the final predicted cost and require a low amount of effort are desired in data-driven conceptual cost-estimating models for the agency studied.

Gosling, J, Pero, M, Schoenwitz, M, Towill, D and Cigolini, R (2016) Defining and Categorizing Modules in Building Projects: An International Perspective. Journal of Construction Engineering and Management, 142(11).

Lee, J (2016) Estimating Cumulative Damages due to Disruptions in Repetitive Construction. Journal of Construction Engineering and Management, 142(11).

Lee, Y, Kim, J and Lee, T S (2016) Topological Competiveness Based on Social Relationships in the Korean Construction-Management Industry. Journal of Construction Engineering and Management, 142(11).

Liang, C, Lu, W, Rowlinson, S and Zhang, X (2016) Development of a Multifunctional BIM Maturity Model. Journal of Construction Engineering and Management, 142(11).

Love, P E D and Smith, J (2016) Toward Error Management in Construction: Moving beyond a Zero Vision. Journal of Construction Engineering and Management, 142(11).

Lv, X and El-Gohary, N M (2016) Discovering Context-Specific Integration Practices for Integrating NEPA into Statewide and Metropolitan Project Planning Processes. Journal of Construction Engineering and Management, 142(11).

O’Connor, J T, Choi, J O and Winkler, M (2016) Critical Success Factors for Commissioning and Start-Up of Capital Projects. Journal of Construction Engineering and Management, 142(11).

Rodríguez-Garzón, I, Martínez-Fiestas, M, Delgado-Padial, A and Lucas-Ruiz, V (2016) An Exploratory Analysis of Perceived Risk among Construction Workers in Three Spanish-Speaking Countries. Journal of Construction Engineering and Management, 142(11).

Seo, J, Lee, S and Seo, J (2016) Simulation-Based Assessment of Workers’ Muscle Fatigue and Its Impact on Construction Operations. Journal of Construction Engineering and Management, 142(11).

Zhou, H W, Zhou, Y H and Zhao, C J (2016) Fault-Response Mechanism of Production System in Concrete-Dam-Construction Simulation. Journal of Construction Engineering and Management, 142(11).