Project Abstract

Abstract
Building Information Modeling (BIM) has emerged as a revolutionary technology in the construction industry, offering advanced tools and methodologies that enhance the efficiency and accuracy of various processes. This research focuses on exploring the application of BIM in Quantity Surveying, specifically investigating its impact on cost estimation accuracy. The study presents a detailed case study that examines how BIM tools and techniques can improve the precision and reliability of cost estimation in construction projects. The research begins with a comprehensive introduction that outlines the background of the study, identifies the problem statement, and sets the objectives. The limitations and scope of the study are also defined, highlighting the significance of exploring the integration of BIM in Quantity Surveying for better cost estimation practices. The structure of the research is outlined, providing a roadmap for the subsequent chapters. Chapter two delves into a thorough literature review, exploring ten key aspects related to the application of BIM in Quantity Surveying and its impact on cost estimation accuracy. This section provides a comprehensive overview of existing research, theories, and best practices in the field, setting the foundation for the empirical investigation. Chapter three details the research methodology, outlining the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter presents a robust framework for conducting the case study, ensuring the reliability and validity of the research findings. Chapter four presents a detailed discussion of the research findings, analyzing the impact of BIM on cost estimation accuracy through the case study. Seven key findings are discussed, highlighting the benefits, challenges, and implications of integrating BIM technologies in Quantity Surveying practices. The chapter offers insights into how BIM can enhance the accuracy and efficiency of cost estimation processes, leading to better project outcomes. Finally, chapter five concludes the research by summarizing the key findings, discussing the implications for practice, and suggesting recommendations for future research. The study underscores the importance of leveraging BIM tools and methodologies in Quantity Surveying to improve cost estimation accuracy and enhance overall project performance. The research contributes to the growing body of knowledge on the application of BIM in construction management and provides valuable insights for industry professionals and researchers seeking to optimize cost estimation practices using advanced technologies.

Project Overview