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Improving the Model for Estimating the Number of Construction Workers for Apartment Construction

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  • Hyeongjun Mun

    (Department of Safety Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea)

  • Jaewook Jeong

    (Department of Safety Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea)

  • Jaemin Jeong

    (Department of Safety Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea)

Abstract

Because the construction industry is labor-intensive, predicting the number of workers is important for estimating various factors that influence construction, such as the construction worker fatality rate and construction financing plan. In South Korea, the number of full-time workers is estimated based on the total construction cost; however, this estimation method does not reflect the characteristics of specific construction types. This study presents a simple model that uses real data to predict the number of construction workers and calculates correction factors in two ways to improve reliability. This study involved three steps: (1) collecting data, (2) calculating and validating the estimated labor rate, and (3) calculating correction factors. The model predicted the number of workers with an average error rate of 7.60% without correction factors. To improve reliability, this research suggests two-way correction factors, and the results show that correction factor one reduces the average error rate to 0.06% and correction factor two reduces the average error rate to 0.00%. The proposed model can be used for estimating project costs and predicting construction worker fatalities for a project.

Suggested Citation

  • Hyeongjun Mun & Jaewook Jeong & Jaemin Jeong, 2023. "Improving the Model for Estimating the Number of Construction Workers for Apartment Construction," Sustainability, MDPI, vol. 15(9), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7150-:d:1132115
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    References listed on IDEAS

    as
    1. Yukyung Shim & Jaemin Jeong & Jaewook Jeong & Jaehyun Lee & Yongwoo Kim, 2022. "Comparative Analysis of the National Fatality Rate in Construction Industry Using Time-Series Approach and Equivalent Evaluation Conditions," IJERPH, MDPI, vol. 19(4), pages 1-20, February.
    2. Akintola Akintoye, 2000. "Analysis of factors influencing project cost estimating practice," Construction Management and Economics, Taylor & Francis Journals, vol. 18(1), pages 77-89.
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