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AdvisorGunduz, Murat
AdvisorNaji, Khalid
AuthorHamaidi, Munther Farouq M.F.
Available date2021-07-27T09:35:32Z
Publication Date2021-06
URIhttp://hdl.handle.net/10576/21586
AbstractThis research aimed to identify the factors that contribute to Construction Waste Management in Infrastructure Projects (CWMIIP) and their effective weight in this aspect. The objectives are summarized to identify the factors affecting construction waste management in infrastructure projects and categorize them under groups, understanding the relationships between the factors and group along with the relationships between groups and CWMIIP, and finally suggesting recommendations for reducing the construction waste. From the literature review, 26 factors were selected to be the major contributors of construction waste in infrastructure projects. These factors were used to designate an online questionnaire to collect the required data to initiate this research, where around 167 participators responded. A Structural Equation Model was developed that represented the relationships between the groups which were identified through the literature review and CWMIIP. This model was examined during model development to ensure that it meets Goodness of Fit (GOF), multivariate normality, construct validity, reliability, and hypotheses examinations. The model results have showed that all pre-defined hypotheses were supported except for the positive effect of Logistics group on CWMIIP which was dropped during achieving model acceptance criteria. Finally, the groups that are responsible of construction waste This research aimed to identify the factors that contribute to Construction Waste management in infrastructure projects were ranked based on their effective weight. Management was the most effective group which was followed by Execution, Others, Procurement and Design groups, respectively. Finally, recommendations are provided to industry people based on research outcomes
Languageen
SubjectSEM
TitleConstruction waste management performance measurement in infrastructure projects by structural equation modelling SEM
TypeMaster Thesis
DepartmentEngineering Management
dc.accessType Open Access


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