Assessing The Impacts Of Key Risk Factors On Green Buildings’ Project Success

Under the pressure of growing concerns in global environmental changes, theconstruction industry in our country is facing with new challenges and developingopportunities. It is really important for urban construction to transform developmentpatterns from traditional high-consumption to green-efficiency ones. And the onlyway to go is the green buildings. Green buildings as a construction project has thecharacteristics of novelty, high complexity and long-term targets, which will affectthe accuracy of project managers’ predict and lead to incorrect designs and plans. Andthis will lead to increased risk of the implementation of green buildings. This articlebased on the perspective of green buildings whole life cycle to analyze the crucial riskfactors on influencing the green buildings projects success, which provide a certainreference for the green-building projects risk management.Firstly, the paper deeply analyzes the connotation of green buildings. Base on theliteratures review both at home and abroad, according to the characteristics ofgreen-building projects, it is divided into five stages by the green-building whole lifecycles, which are the decision-making, design, construction, trial and operationmaintenance stage. Furthermore, it constructs a target system which aims foreconomy, environment and society to evaluat the successful green-building projects.In an attempt to analyze the crucial risk factors that affect green-buildingprojects’ success, a hierarchical structural model based on the study of structuralequation models is established. We total identify forty-seven risk factors that impactsuccessful of green-building projects at the five stages, and nine factors for the threetargets. Accordingly, designs the questionnaires that are research on key risk factorswhich effecting green-building projects success in our country. Reliability andvalidity analysis was performed on151samples data by using the SPSS software, andthe test data could be used for the subsequent analysis.Finally, test and optimize the hypothesis models with AMOS, to get the idealmodified model on imitative effect after three-round optimization adjustment. And itcan be better reflect the intrinsic relation between the sample data. Through factor analysis and path analysis, it draws the total effect that the whole life cycle of greenbuildings in different stages about risk factors which contribute to green buildingsprojects success. That is to say the influence degrees of all risk factors on projectsuccess and these factors are divided into the first, second and third risk levelsaccording to the influence degrees. The quantitative evaluation can provide somebasis for the participant subjects of green buildings according to risk factors toimplement hierarchical management.It can perfectly analyze the key risk factors on green buildings projects successby using structural equation modeling. The result will not only come to the weightwhich affects it, but also clearly describes the correlation between the crucial riskfactors. That is the key to solve the risk problems of green buildings.