Detection model for unbalanced bidding in railway construction projects: Considering the risk of quantity variation

Wu, X and Xu, F (2021) Detection model for unbalanced bidding in railway construction projects: Considering the risk of quantity variation. Journal of Construction Engineering and Management, 147(7): 04021055, ISSN 0733-9364

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.

Item Type: Article
Uncontrolled Keywords: analytic hierarchy process-fuzzy; detection model; quantity variation; railway construction projects; unascertained measurement theory; unbalanced bidding
Index terms: unbalanced bidding, owner, railway construction, fuzzy comprehensive evaluation, exploitation, accuracy, China, variation, case study
Subjects: data collection methods, contractual condition, decision-making and optimization, sociology, management, civil engineering, Geography, professional development, bidding
Topics: Engineering Principles, Information Management, Procurement, Geographical Context, Research Practice, Contract Administration, Stakeholder Management, Business Strategy
Descriptive scope: 4 PCEA

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