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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.

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.

  • Type: Journal Article
  • Keywords: Forecasting; Labor; Construction industry; Hong Kong; Forecasting; Labor supply; Stock-flow model; Hong Kong;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000485
  • Abstract:
    Forecasting the supply of labor in the construction industry is pivotal to long-term economic growth. A labor supply model using a stock-flow approach was developed in this research for use in the construction industry. The model was tested using Hong Kong census statistics and data derived from interviews with 3,000 randomly selected construction workers. The findings were determined using a stock-flow model, which enabled the determination of future aging distribution trends and workforce supply for specific trade types. The developed stock-flow model can be effectively used in countries in which registration schemes for construction workers are in use.

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.