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

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 011::page 04025178-1
    Author:
    Charbel, Ghadi
    ,
    Assaad, Rayan H.
    ,
    Qiao, Yu
    ,
    Labi, Samuel
    DOI: 10.1061/JCEMD4.COENG-15634
    Publisher: American Society of Civil Engineers
    Abstract: AbstractProject 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 ...
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      Predicting the Level of Competition and Determining Optimal Bidding Strategies for Bundled Projects: Integrating Machine-Learning Algorithms and Probabilistic Modeling

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314625
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    contributor authorCharbel, Ghadi
    contributor authorAssaad, Rayan H.
    contributor authorQiao, Yu
    contributor authorLabi, Samuel
    date accessioned2026-08-20T21:32:40Z
    date available2026-08-20T21:32:40Z
    date copyright2025/08/29
    date issued2025
    identifier otherJCEMD4.COENG-15634.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314625
    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 ...
    publisherAmerican Society of Civil Engineers
    titlePredicting the Level of Competition and Determining Optimal Bidding Strategies for Bundled Projects: Integrating Machine-Learning Algorithms and Probabilistic Modeling
    typeJournal Article
    journal volume151
    journal issue11
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-15634
    journal fristpage04025178-1
    journal lastpage04025178-23
    page23
    treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 011
    contenttypeFulltext
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