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    Network Theory–Based Approach to Data-Driven Assessment of Bidding Competition in Highway Construction 

    Source: Journal of Management in Engineering:;2024:;Volume ( 040 ):;issue: 001:;page 04023051-1
    Author(s): Muhammad Ali Moriyani; Lemlem Asaye; Chau Le; Tuyen Le
    Publisher: ASCE
    Abstract: Competitive bidding in design-bid-build contracts holds the potential to lower bid prices, maximize project outcomes, and promote growth in the construction industry. However, these potential benefits of competitive bidding ...
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    Detecting Red-Flag Bidding Patterns in Low-Bid Procurement for Highway Projects with Pattern Mining 

    Source: Journal of Management in Engineering:;2024:;Volume ( 040 ):;issue: 001:;page 04023060-1
    Author(s): Lemlem Asaye; Muhammad Ali Moriyani; Chau Le; Tuyen Le
    Publisher: ASCE
    Abstract: Competitive bidding is a popular technique State Highway Agencies use for selecting contractors for public construction work. It intends to ensure that construction projects are awarded at the lowest price. However, public ...
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    Enhanced Highway Project Clustering Framework to Support Project Cost Estimation 

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 001:;page 04024191-1
    Author(s): Quan Do; Muhammad Ali Moriyani; Tuyen Le; Chau Le; Kalyan Piratla
    Publisher: American Society of Civil Engineers
    Abstract: State highway agencies (SHAs) frequently need to cluster projects based on their scope similarity to support various construction planning tasks such as cost estimation. Few recent studies have presented systematic methods ...
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    Cost-Weighted TF-IDF: A Novel Approach for Measuring Highway Project Similarity Based on Pay Items’ Cost Composition and Term Frequency 

    Source: Journal of Construction Engineering and Management:;2023:;Volume ( 149 ):;issue: 008:;page 04023069-1
    Author(s): Quan Do; Muhammad Ali Moriyani; Chau Le; Tuyen Le
    Publisher: ASCE
    Abstract: State highway agencies (SHAs) often need to cluster or bundle projects in accordance with their scope similarity for various construction management tasks, including historical data-driven time, cost estimating, and project ...
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