Thesis Abstract

Abstract
Building Information Modeling (BIM) has emerged as a transformative technology in the construction industry, offering advanced capabilities for project design, coordination, and management. This thesis explores the application of BIM in Quantity Surveying to enhance cost estimation and project management processes. The research investigates the potential benefits, challenges, and implications of integrating BIM into traditional Quantity Surveying practices. The study begins with an introduction to the background of BIM technology and its relevance to Quantity Surveying. A detailed literature review is conducted to examine existing research on BIM applications in construction and Quantity Surveying, highlighting key findings and gaps in knowledge. The research methodology section outlines the approach taken to collect and analyze data, including case studies, interviews, and surveys. Findings from the study reveal the significant impact of BIM on improving cost estimation accuracy, project planning efficiency, and communication among project stakeholders. Challenges such as data interoperability, skill gaps, and resistance to change are identified as barriers to widespread BIM adoption in Quantity Surveying. The discussion of findings section delves into the implications of these results and offers recommendations for overcoming challenges and maximizing the benefits of BIM integration in Quantity Surveying practices. In conclusion, this thesis emphasizes the importance of embracing BIM technology in Quantity Surveying to enhance decision-making, collaboration, and project outcomes. By leveraging the capabilities of BIM for cost estimation and project management, Quantity Surveyors can streamline processes, reduce errors, and improve overall project performance. The study contributes to the growing body of knowledge on BIM applications in Quantity Surveying and provides valuable insights for industry practitioners, researchers, and policymakers.

Thesis Overview