Modular Integrated Construction(MiC)has been widely recognized as the mainstream building of the future.It is extremely important to investigate the factors influencing the carbon emissions of MiC.Implementing MiC in a project highly depends on a well-organized supply chain in which a variety of stakeholders participate.Therefore,this study investigates the carbon-influencing factors of MiC from the perspective of stakeholders.Seven categories of stakeholders and 44 carbon emission influencing factors in the materialization stage are screened to form a stakeholder-oriented carbon emission influencing factor list;a network model is constructed using Social Network Analysis(SNA),which is combined with a modular project case study to compare four metrics:overall network density,block model,point centrality,and intermediate centrality,respectively,to identify the key influencing factors at the level of the overall and individual networks;taking the intersection of the key influencing factors at the overall level and the key influencing factors at the level of the individual,to determine the core of key influencing factors,and the key influencing factors to control;targeted carbon emission reduction measures are proposed from the stakeholder perspective,and the control results are tested.The results identify 11 key influencing factors in the materialization stage,and carbon reduction recommendations are made for material suppliers,design units,module manufacturers,government,construction units,and construction units,respectively,with regard to the key impact factors.Finally,the control effects of the influencing factors are tested,and the test results show that the interaction forces between the influencing factors are significantly reduced.Through the study of carbon emission influencing factors in the building materialization stage of modular integration from the perspective of stakeholders,the correlations are explored to provide theoretical support for stakeholders to make corresponding emission reduction strategies.
维普
万方数据