Bidder Network Community Division and Collusion Suspicion Analysis in Chinese Construction Projects
Bidder collusion seriously undermines the fair competition of the construction project market, and effective identification of collusion behaviors is of vital importance to the implementation of proactive regulation and supervision. In this paper, the data of construction project bidders from 2011 t...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/6612848 |
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| _version_ | 1832550849436450816 |
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| author | Jiwei Zhu Bing Wang Liang Li Jiangrui Wang |
| author_facet | Jiwei Zhu Bing Wang Liang Li Jiangrui Wang |
| author_sort | Jiwei Zhu |
| collection | DOAJ |
| description | Bidder collusion seriously undermines the fair competition of the construction project market, and effective identification of collusion behaviors is of vital importance to the implementation of proactive regulation and supervision. In this paper, the data of construction project bidders from 2011 to 2018 are selected in Shaanxi Province, China, and a bidder network of construction projects is constructed. The collusion suspicion of bidders is analyzed from the macro-, meso-, and microlevels. The results show that the bidder network has features as small world at macrolevels, and it is easy for bidders to involve in collusion. The network community formed by construction, supervision, and survey and design bidding enterprises is analyzed at the mesolevel, and the collusion of supervision enterprises is found to have the highest suspicion At the microlevel, the characteristic value judgment and community division are adopted to analyze the collusion suspicion, which is divided into high, medium, and low according to the possibility. Through a comparison with the actual data, it is found that the method proposed in this paper can effectively identify the collusion behavior of construction project bidders. This paper proposes red, yellow, and green warning mechanism and formulates hierarchical accurate management preparedness, which can provide some suggestions to help prevent bidders from colluding. |
| format | Article |
| id | doaj-art-94efd5eaae0f4a93a2ce2456d0f4ac5d |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-94efd5eaae0f4a93a2ce2456d0f4ac5d2025-02-03T06:05:46ZengWileyAdvances in Civil Engineering1687-80861687-80942020-01-01202010.1155/2020/66128486612848Bidder Network Community Division and Collusion Suspicion Analysis in Chinese Construction ProjectsJiwei Zhu0Bing Wang1Liang Li2Jiangrui Wang3State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, ChinaState Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, ChinaResearch Center of Eco-Hydraulics and Sustainable Development, The New Style Think Tank of Shaanxi Universities, Xi’an 710048, ChinaState Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, ChinaBidder collusion seriously undermines the fair competition of the construction project market, and effective identification of collusion behaviors is of vital importance to the implementation of proactive regulation and supervision. In this paper, the data of construction project bidders from 2011 to 2018 are selected in Shaanxi Province, China, and a bidder network of construction projects is constructed. The collusion suspicion of bidders is analyzed from the macro-, meso-, and microlevels. The results show that the bidder network has features as small world at macrolevels, and it is easy for bidders to involve in collusion. The network community formed by construction, supervision, and survey and design bidding enterprises is analyzed at the mesolevel, and the collusion of supervision enterprises is found to have the highest suspicion At the microlevel, the characteristic value judgment and community division are adopted to analyze the collusion suspicion, which is divided into high, medium, and low according to the possibility. Through a comparison with the actual data, it is found that the method proposed in this paper can effectively identify the collusion behavior of construction project bidders. This paper proposes red, yellow, and green warning mechanism and formulates hierarchical accurate management preparedness, which can provide some suggestions to help prevent bidders from colluding.http://dx.doi.org/10.1155/2020/6612848 |
| spellingShingle | Jiwei Zhu Bing Wang Liang Li Jiangrui Wang Bidder Network Community Division and Collusion Suspicion Analysis in Chinese Construction Projects Advances in Civil Engineering |
| title | Bidder Network Community Division and Collusion Suspicion Analysis in Chinese Construction Projects |
| title_full | Bidder Network Community Division and Collusion Suspicion Analysis in Chinese Construction Projects |
| title_fullStr | Bidder Network Community Division and Collusion Suspicion Analysis in Chinese Construction Projects |
| title_full_unstemmed | Bidder Network Community Division and Collusion Suspicion Analysis in Chinese Construction Projects |
| title_short | Bidder Network Community Division and Collusion Suspicion Analysis in Chinese Construction Projects |
| title_sort | bidder network community division and collusion suspicion analysis in chinese construction projects |
| url | http://dx.doi.org/10.1155/2020/6612848 |
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