Project Abstract

Abstract
Building Information Modeling (BIM) has emerged as a transformative technology in the construction industry, revolutionizing the way projects are planned, designed, constructed, and managed. This research focuses on the application of BIM in Quantity Surveying for Cost Estimation and Project Management, aiming to explore the benefits, challenges, and implications of integrating BIM into traditional Quantity Surveying practices. The study investigates how BIM can enhance the accuracy and efficiency of cost estimation processes, as well as improve project management throughout the construction lifecycle. The research begins with a comprehensive introduction to the topic, providing background information on BIM, Quantity Surveying, and their interplay within the construction industry. The problem statement highlights the existing gaps and limitations in current Quantity Surveying practices, emphasizing the need for innovative solutions to improve cost estimation accuracy and project management efficiency. The objectives of the study are outlined to guide the research process, focusing on evaluating the impact of BIM on Quantity Surveying practices. A thorough literature review is conducted to explore existing studies, theories, and best practices related to BIM, Quantity Surveying, cost estimation, and project management. The review identifies key trends, challenges, and opportunities in the integration of BIM technology into Quantity Surveying processes, providing a solid foundation for the research. The research methodology section describes the approach taken to investigate the research questions, including data collection methods, tools, and analysis techniques. The study employs a mixed-methods approach, combining qualitative and quantitative data to provide a comprehensive understanding of the application of BIM in Quantity Surveying. The findings of the study are presented in detail in the discussion chapter, highlighting the benefits and challenges of implementing BIM in Quantity Surveying for cost estimation and project management. The results demonstrate the potential of BIM to streamline cost estimation processes, improve accuracy, reduce errors, and enhance collaboration among project stakeholders. However, the study also identifies barriers to the adoption of BIM, such as cost, training, and resistance to change. In conclusion, the research emphasizes the significance of integrating BIM technology into Quantity Surveying practices to improve cost estimation accuracy and project management efficiency. The study recommends strategies for overcoming challenges and maximizing the benefits of BIM in Quantity Surveying, paving the way for a more efficient and sustainable construction industry. Keywords Building Information Modeling (BIM), Quantity Surveying, Cost Estimation, Project Management, Construction Industry, Technology Integration.

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