Thesis Abstract

Abstract
This thesis investigates the application of Building Information Modeling (BIM) in the field of Quantity Surveying to enhance cost estimation and risk management processes. The integration of BIM technology in the construction industry has significantly transformed traditional practices, offering improved visualization, collaboration, and data management capabilities throughout the project lifecycle. The research aims to explore how BIM can be leveraged by Quantity Surveyors to streamline cost estimation procedures and mitigate risks associated with construction projects. Chapter 1 provides an introduction to the research topic, outlining the background of the study, problem statement, research objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. The literature review in Chapter 2 covers ten key areas related to BIM, Quantity Surveying, cost estimation, and risk management, offering insights into existing research and best practices in the field. Chapter 3 focuses on the research methodology, detailing the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter also discusses the tools and software used for implementing BIM in Quantity Surveying practices. In Chapter 4, the findings of the research are presented and discussed in detail. The chapter highlights the benefits of integrating BIM technology in Quantity Surveying processes, such as improved accuracy in cost estimation, enhanced collaboration among project stakeholders, and better risk identification and mitigation strategies. Case studies and practical examples are analyzed to illustrate the effectiveness of BIM in addressing cost and risk challenges in construction projects. Finally, Chapter 5 provides a comprehensive conclusion and summary of the thesis, summarizing the key findings, implications for practice, and recommendations for future research. The study concludes that the adoption of BIM in Quantity Surveying offers significant advantages in improving cost estimation accuracy and enhancing risk management practices in construction projects. The research contributes to the growing body of knowledge on the application of BIM technology in the Quantity Surveying field, emphasizing its potential to drive innovation and efficiency in the construction industry.

Thesis Overview