Forecasting liquidated damages using random forest regression model for highway construction projects in Region 02 [manuscript] / Kenneth L. Bacud, Ma. Angelica B. De Guzman, Lei Vanessa E. Tan. (Record no. 21385)

000 -LEADER
fixed length control field 01754nam a22001457a 4500
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number Civil 0167
Item number 2025 c.1
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Bacud, Kenneth L., author.
245 ## - TITLE STATEMENT
Title Forecasting liquidated damages using random forest regression model for highway construction projects in Region 02 [manuscript] / Kenneth L. Bacud, Ma. Angelica B. De Guzman, Lei Vanessa E. Tan.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Year of publication ©2025.
500 ## - GENERAL NOTE
General note Thesis (B.S.) -- Cagayan State University, 2025.
520 ## - SUMMARY, ETC.
Summary, etc Highway construction projects in Region II, Philippines, face frequent delays, leading to significant liquidated damages (LDs) that impose financial penalties and hinder project success. This study utilized a Random Forest Regression (RFR) model to predict LDs across 199 highway projects, using data from 2015-2018 and 2021-2024 from the Department of Public Works and Highways - Region II and Cagayan Third District Engineering Office, RFR outperformed Linear Regression and Decision Tree models, achieving the lowest Mean Squared Error (276.83 billion), Root Mean Squared Error (526,148.09), and the highest R-squared (0.7292), explaining 72.92% of LD variance. Visual analyses confirm RFR's precision, with residuals mostly within ±1e6 PHP. precision, Key delay drivers included Original_Duration_Days (0.6451) and Contract_Cost_PhP (0.2117). The RFR model offers reliable LD forecasting, enabling better budgeting, reduced disputes, and timely project delivery, supporting Region II's economic growth, which contributes 7% to the Philippines' GDP in 2023.

Keywords: liquidated damages, random forest regression, highway construction projects, feature importance, project delays, risk management
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name De Guzman, Ma. Angelica B.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Tan, Lei Vanessa E.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Academic Research
Holdings
Source of acquisition Permanent Location Date acquired Koha item type Collection code Accession Number Lost status Shelving location Withdrawn status Current Location Full call number
SchoolCagayan State University - Carig Library2025-10-07Academic ResearchAcademic ResearchCIVIL0167 Academic Research Section Cagayan State University - Carig LibraryCivil 0167 2025 c.1

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