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

Hyeongjun Mun, Jaewook Jeong () and Jaemin Jeong
Additional contact information
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

Sustainability, 2023, vol. 15, issue 9, 1-17

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.

Keywords: simplified model; labor cost; number of workers; correction factor; apartment construction (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/9/7150/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/9/7150/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:9:p:7150-:d:1132115

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().