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Decision Simulation of Construction Project Delivery System under the Sustainable Construction Project Management

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  • Ji-Wei Zhu

    (State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, China
    Faculty of Civil Engineering and Architecture, Xi’an University of Technology, Xi’an 710048, China)

  • Li-Nan Zhou

    (Faculty of Civil Engineering and Architecture, Xi’an University of Technology, Xi’an 710048, China)

  • Liang Li

    (State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, China)

  • Wajhat Ali

    (Faculty of Civil Engineering and Architecture, Xi’an University of Technology, Xi’an 710048, China)

Abstract

Choosing an appropriate project delivery system (PDS) directly affects the achievement of performance goals, and at the same time it is of great significance for sustainable construction project management (SCPM). This paper took the PDS of construction engineering as the research object, took the Design-Build (DB) and the Design-Bid-Build (DBB) as examples, and established the indicator system for determinants of the PDS decision. Based on Multi-Agent Systems (MAS), a decision-making simulation model of the PDS decision was constructed, and this paper analyzed the influence of the project attribute characteristics, policy and market environment, owner ability and preference, and contractor technology and capabilities of the PDS decision. While analyzing the circumstances under which the owners tend to choose DB or DBB, the following conclusions were reached: (1) the contractor technology and capabilities increase faster in DB than in DBB. (2) The PDS with policy and market environment preferences has an advantage in the PDS decision, and the owners are more willing to choose the PDS which was selected previously. (3) The competition mechanism in the construction market will eliminate contractors whose growth rate is too low to meet the needs of projects in the market. The research provides theoretical references for the scientific decision-making of construction enterprises.

Suggested Citation

  • Ji-Wei Zhu & Li-Nan Zhou & Liang Li & Wajhat Ali, 2020. "Decision Simulation of Construction Project Delivery System under the Sustainable Construction Project Management," Sustainability, MDPI, vol. 12(6), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2202-:d:331726
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    References listed on IDEAS

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    1. Balazs Egert & Tomasz Kozluk & Douglas Sutherland, 2009. "Infrastructure and Growth: Empirical Evidence," CESifo Working Paper Series 2700, CESifo.
    2. Seyit Ali Erdogan & Jonas Šaparauskas & Zenonas Turskis, 2019. "A Multi-Criteria Decision-Making Model to Choose the Best Option for Sustainable Construction Management," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    3. Na Dong & Yanting Fu & Feng Xiong & Lujie Li & Yibin Ao & Igor Martek, 2019. "Sustainable Construction Project Management (SCPM) Evaluation—A Case Study of the Guangzhou Metro Line-7, PR China," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    4. Edyta Plebankiewicz & Michał Juszczyk & Renata Kozik, 2019. "Trends, Costs, and Benefits of Green Certification of Office Buildings: A Polish Perspective," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    5. Caroline T. W. Chan, 2007. "Fuzzy procurement selection model for construction projects," Construction Management and Economics, Taylor & Francis Journals, vol. 25(6), pages 611-618.
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    Cited by:

    1. Victoria Muerza & Cindy Guerlain, 2021. "Sustainable Construction Logistics in Urban Areas: A Framework for Assessing the Suitability of the Implementation of Construction Consolidation Centres," Sustainability, MDPI, vol. 13(13), pages 1-19, June.

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