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Predicting the Level of Competition and Determining Optimal Bidding Strategies for Bundled Projects: Integrating Machine-Learning Algorithms and Probabilistic Modeling

dc.contributor.authorCharbel, Ghadi
dc.contributor.authorAssaad, Rayan H.
dc.contributor.authorQiao, Yu
dc.contributor.authorLabi, Samuel
dc.date.accessioned2026-08-20T21:32:40Z
dc.date.available2026-08-20T21:32:40Z
dc.date.copyright2025/08/29
dc.date.issued2025
dc.identifier.otherJCEMD4.COENG-15634.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314625
dc.description.abstractAbstractProject bundling involves grouping multiple projects into one contract to improve efficiency and reduce costs, especially in transportation infrastructure. Contractor bidding behavior differs on bundled contracts compared to single-project ...
dc.publisherAmerican Society of Civil Engineers
dc.titlePredicting the Level of Competition and Determining Optimal Bidding Strategies for Bundled Projects: Integrating Machine-Learning Algorithms and Probabilistic Modeling
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue11
dc.journal.titleJournal of Construction Engineering and Management
dc.identifier.doi10.1061/JCEMD4.COENG-15634
dc.journal.fristpage04025178-1
dc.journal.lastpage04025178-23
dc.page23
dc.treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 011
dc.contenttypeFulltext


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