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Alarcón, L F, Rodríguez, A and Mourgues, C (2012) Impact of Machine-Failure Costs on Equipment Replacement Policies: Tunneling Company Case Study. Journal of Construction Engineering and Management, 138(06), 767–74.

Deshpande, A S, Salem, O M and Miller, R A (2012) Analysis of the Higher-Order Partial Correlation between CII Best Practices and Performance of the Design Phase in Fast-Track Industrial Projects. Journal of Construction Engineering and Management, 138(06), 716–24.

Hegazy, T and Menesi, W (2012) Heuristic Method for Satisfying Both Deadlines and Resource Constraints. Journal of Construction Engineering and Management, 138(06), 688–96.

Koo, K and Park, S (2012) GA-Based Fuel-Efficient Transfer Path Selection Model for Delivering Construction Materials. Journal of Construction Engineering and Management, 138(06), 725–32.

Oates, D and Sullivan, K T (2012) Postoccupancy Energy Consumption Survey of Arizona’s LEED New Construction Population. Journal of Construction Engineering and Management, 138(06), 742–50.

Petroutsatou, K, Georgopoulos, E, Lambropoulos, S and Pantouvakis, J P (2012) Early Cost Estimating of Road Tunnel Construction Using Neural Networks. Journal of Construction Engineering and Management, 138(06), 679–87.

  • Type: Journal Article
  • Keywords: Construction costs; Estimation; Neural networks; Tunnels; Construction costs; Estimation; Neural networks; Tunnel construction;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000479
  • Abstract:
    Road tunnel construction is subject to underground uncertainties and risks, and as such it is difficult to predict the final construction cost, especially at the conception phase where issues are evaluated and important design decisions are made. A system assisting in the early cost estimation of road tunnels would therefore be of great value as it would allow the quick costing of alternative and more economical solutions. The development of such an early cost estimation system is discussed in this paper. First, the basic parameters (geological, geometrical, and work quantities-related) affecting temporary and permanent support and final construction cost are determined. After that, appropriate real-world data derived from the analysis of 33 twin tunnels of 46 km total length constructed for the Egnatia Motorway in northern Greece from 1998 to 2004 and related to work quantities is collected and normalized. Appropriate price lists are then applied to calculate the costs; subsequently, cost-estimating models are developed using two types of neural networks: (1) the multilayer feed-forward network; and (2) the general regression neural network. Finally, these models are compared against real quantities and costs for accuracy and robustness. The main conclusion is that the models developed are fit for their purpose and may lead to fairly accurate work quantities and cost estimates of road tunnels.

Ranasinghe, U, Ruwanpura, J and Liu, X (2012) Streamlining the Construction Productivity Improvement Process with the Proposed Role of a Construction Productivity Improvement Officer. Journal of Construction Engineering and Management, 138(06), 697–706.

San Cristóbal, J R (2012) Contractor Selection Using Multicriteria Decision-Making Methods. Journal of Construction Engineering and Management, 138(06), 751–8.

Sing, C, Love, P E D and Tam, C M (2012) Stock-Flow Model for Forecasting Labor Supply. Journal of Construction Engineering and Management, 138(06), 707–15.

Tatari, O and Kucukvar, M (2012) Eco-Efficiency of Construction Materials: Data Envelopment Analysis. Journal of Construction Engineering and Management, 138(06), 733–41.

Wang, C, Liu, M, Hsiang, S M and Leming, M L (2012) Causes and Penalties of Variation: Case Study of a Precast Concrete Slab Production Facility. Journal of Construction Engineering and Management, 138(06), 775–85.

Xie, H, AbouRizk, S and Zou, J (2012) Quantitative Method for Updating Cost Contingency throughout Project Execution. Journal of Construction Engineering and Management, 138(06), 759–66.