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Estimation of ideal construction duration in tender preparation stage for housing projects

Author

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  • Tirataci Hakan

    (Department of Architecture, Faculty of Architecture, Istanbul Technical University, Istanbul, Turkey hakantirataci@gmail.com)

  • Yaman Hakan

    (Department of Architecture, Faculty of Architecture, Istanbul Technical University, Istanbul, Turkey)

Abstract

Despite the potential of various methods for calculating construction duration, few studies have focused on the application of these methods in the tender preparation stage, and even fewer have focused on their application in public housing projects. Moreover, research related to construction duration in Turkey has indicated that considerable delays occur in public housing projects. Therefore, we investigated the factors affecting the construction duration of housing projects and developed a novel calculation method for estimating the ideal construction duration. Data on public housing projects were obtained from a major Turkish construction authority. Statistical data analysis was performed using multiple linear regression analysis, chi-squared automatic interaction detection (CHAID), and classification and regression tree (CART) methods. The results revealed that several factors significantly affected the ideal construction duration for each statistical method. The cutoffs and standard errors were calculated to test the validity of all three statistical methods. The regression formula indicated statistical significance when the calculation method was tested. The implementation of the methods for other public housing projects significantly reduced the number of delayed projects. The findings of this study are expected to contribute by way of enabling senior project managers to estimate the ideal construction duration for housing projects during the tender preparation stage.

Suggested Citation

  • Tirataci Hakan & Yaman Hakan, 2023. "Estimation of ideal construction duration in tender preparation stage for housing projects," Organization, Technology and Management in Construction, Sciendo, vol. 15(1), pages 192-212, January.
    • Handle: RePEc:vrs:otamic:v:15:y:2023:i:1:p:192-212:n:14
    DOI: 10.2478/otmcj-2023-0014
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    References listed on IDEAS

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