Thesis 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. The integration of BIM in Quantity Surveying practices offers numerous benefits, such as improved accuracy, enhanced collaboration, and streamlined project delivery. This thesis investigates the Application of Building Information Modeling in Quantity Surveying through a comprehensive case study approach. The study begins with an introduction that outlines the background of the research, presents the problem statement, objectives, limitations, scope, significance of the study, and defines key terms. A thorough literature review in Chapter Two explores the existing knowledge base on BIM and Quantity Surveying, examining its evolution, benefits, challenges, and best practices. The review highlights the importance of integrating BIM in Quantity Surveying processes to enhance efficiency and effectiveness. Chapter Three details the research methodology employed in this study, encompassing research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The case study methodology is adopted to provide an in-depth analysis of how BIM is applied in Quantity Surveying practice, focusing on a real-world project scenario. Chapter Four presents the findings of the study, analyzing the implementation of BIM in Quantity Surveying tasks such as cost estimation, quantity takeoff, cost planning, and project documentation. The discussion delves into the benefits and challenges encountered during the application of BIM in Quantity Surveying, offering practical insights and recommendations for industry professionals. Finally, Chapter Five concludes the thesis by summarizing the key findings, reiterating the significance of the study, and discussing implications for practice and future research directions. The study underscores the potential of BIM to revolutionize Quantity Surveying practices and emphasizes the need for industry stakeholders to embrace this technology to enhance project outcomes and drive innovation. In conclusion, this thesis contributes to the growing body of knowledge on the Application of Building Information Modeling in Quantity Surveying, providing valuable insights for practitioners, researchers, and policymakers seeking to leverage BIM technology for improved project delivery and cost management in the construction industry.

Thesis Overview