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Alroomi, A, Jeong, D H S and Oberlender, G D (2012) Analysis of Cost-Estimating Competencies Using Criticality Matrix and Factor Analysis. Journal of Construction Engineering and Management, 138(11), 1270–80.

Chotibhongs, R and Arditi, D (2012) Detection of Collusive Behavior. Journal of Construction Engineering and Management, 138(11), 1251–8.

De Marco, A, Mangano, G, Corinna Cagliano, A and Grimaldi, S (2012) Public Financing into Build-Operate-Transfer Hospital Projects in Italy. Journal of Construction Engineering and Management, 138(11), 1294–302.

Hwang, S, Park, M, Lee, H and Kim, H (2012) Automated Time-Series Cost Forecasting System for Construction Materials. Journal of Construction Engineering and Management, 138(11), 1259–69.

Kim, B, Lee, H, Park, H and Kim, H (2012) Framework for Estimating Greenhouse Gas Emissions Due to Asphalt Pavement Construction. Journal of Construction Engineering and Management, 138(11), 1312–21.

  • Type: Journal Article
  • Keywords: Asphalt pavements; Life cycles; Emissions; Construction management; Asphalt pavement; Life-cycle assessment; Greenhouse gas; Feasibility study;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000549
  • Abstract:
    Greenhouse gas (GRG) emissions are an important primary criteria for environmental evaluation. As a project evaluation criterion, this study developed a framework that could estimate GHG emissions in asphalt pavement construction based on the limited information available in the feasibility study phase. A thorough literature review and in-depth interviews with domain experts in the field of road engineering were conducted to identify the input variables for this framework. By considering the characteristics of the input variables, such as material type, geometric shape of the structure, and earthwork quantities, an artificial neural network and a parametric calculation were used to develop the framework for estimating GHG emissions. When applied to real-life asphalt pavement projects in the Republic of Korea, the framework produced an average estimation error of 11.2%, which was considered sufficiently accurate for the planning phase. The proposed framework is expected to help decision makers easily evaluate the GHG emission potential of asphalt pavement projects in their preliminary phase such that project viability and priority can be determined in a more holistic manner.

Lee, G and Kim, S (2012) Case Study of Mass Customization of Double-Curved Metal Façade Panels Using a New Hybrid Sheet Metal Processing Technique. Journal of Construction Engineering and Management, 138(11), 1322–30.

Pan, W, Dainty, A R J and Gibb, A G F (2012) Establishing and Weighting Decision Criteria for Building System Selection in Housing Construction. Journal of Construction Engineering and Management, 138(11), 1239–50.

Pan, W, Gibb, A G F and Dainty, A R J (2012) Strategies for Integrating the Use of Off-Site Production Technologies in House Building. Journal of Construction Engineering and Management, 138(11), 1331–40.

Shapira, A, Simcha, M and Goldenberg, M (2012) Integrative Model for Quantitative Evaluation of Safety on Construction Sites with Tower Cranes. Journal of Construction Engineering and Management, 138(11), 1281–93.

Xiang, P, Zhou, J, Zhou, X and Ye, K (2012) Construction Project Risk Management Based on the View of Asymmetric Information. Journal of Construction Engineering and Management, 138(11), 1303–11.

Zhang, L and Qi, J (2012) Controlling Path and Controlling Segment Analysis in Repetitive Scheduling Method. Journal of Construction Engineering and Management, 138(11), 1341–5.