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    Detection Model for Unbalanced Bidding in Railway Construction Projects: Considering the Risk of Quantity Variation

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 007::page 04021055-1
    Author:
    Xi Wu
    ,
    Feng Xu
    DOI: 10.1061/(ASCE)CO.1943-7862.0002058
    Publisher: ASCE
    Abstract: The application of a unit-price contract is nascent in railway construction projects in China. The investment risks for owners arising from unbalanced bidding in unit-price contracts should be given significant attention. Many models have been developed to help contractors place unbalanced bids, making the work of detecting unbalanced bidding even more difficult, especially the quantity error exploitation type of unbalanced bidding. Most detection models fail to consider the risks of quantity variation, a frequent occurrence in railway construction projects. Accordingly, this study developed a model for detecting unbalanced bidding based on an unascertained measurement theory and a analytic hierarchy process–fuzzy comprehensive evaluation method. The proposed model considers the risks in quantity variations. A hierarchical structure model was established to calculate the risks in quantity variations from different line items. A case study was presented to demonstrate the use of the proposed models for identifying and detecting quantity error exploitation unbalanced bids in railway construction projects. The model proposes a method for detecting the quantity error exploitation type of unbalanced bidding in railway construction projects, and can effectively improve accuracy without requiring a large amount of data from previous projects.
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      Detection Model for Unbalanced Bidding in Railway Construction Projects: Considering the Risk of Quantity Variation

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4271032
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    • Journal of Construction Engineering and Management

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    contributor authorXi Wu
    contributor authorFeng Xu
    date accessioned2022-02-01T00:10:44Z
    date available2022-02-01T00:10:44Z
    date issued7/1/2021
    identifier other%28ASCE%29CO.1943-7862.0002058.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4271032
    description abstractThe application of a unit-price contract is nascent in railway construction projects in China. The investment risks for owners arising from unbalanced bidding in unit-price contracts should be given significant attention. Many models have been developed to help contractors place unbalanced bids, making the work of detecting unbalanced bidding even more difficult, especially the quantity error exploitation type of unbalanced bidding. Most detection models fail to consider the risks of quantity variation, a frequent occurrence in railway construction projects. Accordingly, this study developed a model for detecting unbalanced bidding based on an unascertained measurement theory and a analytic hierarchy process–fuzzy comprehensive evaluation method. The proposed model considers the risks in quantity variations. A hierarchical structure model was established to calculate the risks in quantity variations from different line items. A case study was presented to demonstrate the use of the proposed models for identifying and detecting quantity error exploitation unbalanced bids in railway construction projects. The model proposes a method for detecting the quantity error exploitation type of unbalanced bidding in railway construction projects, and can effectively improve accuracy without requiring a large amount of data from previous projects.
    publisherASCE
    titleDetection Model for Unbalanced Bidding in Railway Construction Projects: Considering the Risk of Quantity Variation
    typeJournal Paper
    journal volume147
    journal issue7
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0002058
    journal fristpage04021055-1
    journal lastpage04021055-9
    page9
    treeJournal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 007
    contenttypeFulltext
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