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RESEARCH ARTICLE

How does the improved DB mode degrade the complex integrity of infrastructure mega-projects? Evidence from the Hong Kong-Zhuhai-Macao Bridge project in China

  • Jinwen ZHANG 1 ,
  • Yumin QIU , 2
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  • 1. School of Management and Engineering, Nanjing University, Nanjing 210093, China; Hong Kong-Zhuhai-Macao Bridge Authority, Zhuhai 519060, China
  • 2. School of Management and Engineering, Nanjing University, Nanjing 210093, China

Received date: 31 Oct 2017

Accepted date: 13 Dec 2017

Published date: 21 Mar 2018

Copyright

2018 The Author(s) 2018. Published by Higher Education Press. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0)

Abstract

Complex integrity is one of the main characteristics of infrastructure mega-projects (IMPs). Cost, technology, risk, duration, environmental impact, and other uncertain complexities are interrelated and constitute a challenging and complex management problem. At present, there is no unified understanding of or solutions to these complex integrity problems. This study analyzes the complex integrity of the island-tunnel subproject of the Hong Kong-Zhuhai-Macao Bridge (HZMB) project and proposes an improved design-build (DB) mode in which the owner provides a preliminary design and has the right to form and manage consortium. This improved DB mode creatively degrades the special complexities that arise from multiple dimensions. On this basis, it is an efficacious way to grasp the main contradictions, integrate the effective resources, and degrade the complex integrity in multiple dimensions and at multiple levels so as to effectively deal with the complexity management of IMPs.

Cite this article

Jinwen ZHANG, Yumin QIU. How does the improved DB mode degrade the complex integrity of infrastructure mega-projects? Evidence from the Hong Kong-Zhuhai-Macao Bridge project in China[J]. Frontiers of Engineering Management, 2018, 5(1): 40-51. DOI: 10.15302/J-FEM-2018083

Acknowledgments

The authors express their sincere gratitude to Zhaohan Sheng, Shuping Cheng, Feng Xu, and Huimin Liu for their insightful suggestions on previous versions of this manuscript.
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