Thesis Abstract

Abstract
Building Information Modeling (BIM) has emerged as a transformative technology in the construction industry, offering significant potential for improving project efficiency and cost management. This thesis investigates the application of BIM in the field of Quantity Surveying for enhancing cost estimation and project management processes. The study aims to explore the benefits, challenges, and implications of integrating BIM into traditional Quantity Surveying practices, with a focus on improving accuracy, efficiency, and communication throughout the project lifecycle. The research is structured around a comprehensive literature review that examines the current state of BIM adoption in Quantity Surveying, highlighting key trends, best practices, and theoretical frameworks. The study also delves into the specific ways in which BIM can enhance cost estimation methodologies and project management processes within the Quantity Surveying discipline. Methodologically, this research employs a mixed-methods approach, combining qualitative and quantitative data collection techniques to gather insights from industry practitioners, academic experts, and case studies of BIM implementation in real-world construction projects. The research methodology is designed to provide a holistic understanding of the challenges and opportunities associated with integrating BIM into Quantity Surveying practices. The findings of this study reveal that the adoption of BIM in Quantity Surveying can lead to improved accuracy in cost estimation, enhanced collaboration among project stakeholders, and streamlined project management processes. However, the research also identifies challenges related to data interoperability, skill gaps, and resistance to change that must be addressed to maximize the benefits of BIM implementation. In conclusion, this thesis contributes to the growing body of knowledge on the application of BIM in Quantity Surveying by providing insights into the potential advantages and challenges of leveraging this technology for cost estimation and project management purposes. The study underscores the importance of training, collaboration, and organizational support in successfully integrating BIM into Quantity Surveying practices, ultimately paving the way for more efficient and effective construction projects in the future.

Thesis Overview